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AI/ML is not Sexy

One would think that the new sexy in the startup capital of the world is self-driving cars, AI/ML… I got news for you! AI/ML (esp. Machine Learning) is not listed in Gartner’s hype cycle for 2018.

Source: https://commons.wikimedia.org/wiki/File:Hype-Cycle-General.png

This was corroborated on my recent trip to the valley and the US east coast, where I met several investors, founders, corp dev and other partners of the startup community. It was evident that the AI/ML hype which peaked in 2016 & 2017 is no longer considered a buzzword. It is assumed to be table stakes. What you do with AI/ML is something everyone is willing to listen to. Using AI/ML to solve a high-value B2B SaaS problem is Sexy! (Gartner trends for 2018).

As the hype with AI/ML settles down, B2B startups across the globe are discovering the realities of working the AI/ML shifts for SaaS. Many AI tools & frameworks in the tech stack are still evolving and early pioneers are discovering constraints in the stack and creatively building workarounds as they build their products.

Many entrepreneurs are watching from the sidelines the unfolding of the AI/ML hype, wondering on many valid questions like these (and more):

Q: Do I have to stop what we are building and jump onto the AI bandwagon? No.
Q: Are the AI/ML resources mature & stable to build better value products? No, they are still evolving.
Q: Do I need expensive investments in constrained resources? No, not until you have a high-value problem to solve.

B2B SaaS startups go through 2 key struggles. How to find market-fit and survive? And how to stay relevant and grow. And if you don’t evolve or reinvent as the market factors change, there are high chances for an upstart to come by and disrupt you. The iSPIRT entrepreneur playbooks look to help entrepreneurs get clarity on such queries and more. Our goal is to help our startups navigate such market shifts, stay relevant and grow. Our mini roundtables Playing with AI/ML are focused on WhyAI for SaaS discussions in multiple cities. If you or a startup you know may benefit do register

The MiniRT Agenda

Seeding & creating an active discussion on Why AI/ML? What is the higher order value being created? How to identify the value & opportunities to leverage AI? How to get started with an AI playground (if not already running)? How to think of data needs for AI/ML investments, How to address the impact on Product & Business… Insights from these sessions are meant to help refine our approach & readiness to leverage AI/ML for building higher order value products. And in doing so building a vibrant community focused around navigating this shift.

Upcoming PlaybookRTs on AI/ML

6-Oct (Chennai) 10 am – 1 pm – MiniRoundTable on WhyAI for B2B SaaS – Shrikanth Jagannathan, PipeCandy Inc
18-Oct (Bangalore) 6 pm – 8 pm – MiniRoundTable with Dr Viral Shah on AI/ML Tools & discuss your ML/DeepLearning challenges
27-Oct (Delhi/Gurgaon) 2 pm – 6 pm – MiniRoundTable on WhyAI for B2B SaaS, Adarsh Natarajan, CEO & Founder – Aindra Systems
TBD (Bangalore) – MiniRoundTable on WhyAI for B2B SaaS, (based on registered interest)
TBD (Mumbai) – MiniRoundTable on WhyAI for B2B SaaS, (based on registered interest)

The AI+SaaS game has just begun and it is the right time for our hungry entrepreneurs to Aspire for the Gold, on a reasonable level playing field.

Click to Register for the AI/ML Playbooks Track.

Please note: All iSPIRT playbooks are pro-bono, closed room, founder-level, invite-only sessions. The only thing we require is a strong commitment to attend all sessions completely and to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

Image source: https://commons.wikimedia.org/wiki/File:Hype-Cycle-General.png

Interesting Reads

https://factordaily.com/indian-saas-ai-hurdle/

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Why the SC ruling on ‘Private Players’ use of Aadhaar doesn’t say what you think it does

On behalf of iSPIRT, Sanjay Jain recently published an opinion piece regarding the recent supreme court judgement on the validity of Aadhaar. In there, we stated that section 57 had been struck down, but that should still allow some usage of Aadhaar by the private sector. iSPIRT received feedback that this reading may have been incorrect and that private sector usage would not be allowed, even on a voluntary basis. So, we dug deeper, and analyzed the judgement once again, this time trying to disprove Sanjay’s earlier statement. So, here is an update:

Section 57 of the Aadhaar act has NOT been struck down!

Given the length of the judgement, our first reading – much like everyone else’s was driven by the judge’s statement and confirmed by quickly parsing the lengthy judgement. But in this careful reanalysis, we reread the majority judgement at leisure and drilled down into the language of the operative parts around Section 57. Where ambiguities still remain, we relied on the discussions leading up to the operative conclusions. Further, to recheck our conclusions, we look at some of the other operative clauses not related to Section 57. We tested our inference against everything else that has been said and we looked for inconsistencies in our reasoning.

Having done this, we are confident in our assertion that the judges did not mean to completely blockade the use of Aadhaar by private parties, but merely enforce better guardrails for the protection of user privacy. Let’s begin!

Revisiting Section 57

Here is the original text of section 57 of the Aadhaar Act

Nothing contained in this Act shall prevent the use of Aadhaar number for establishing the identity of an individual for any purpose a purpose backed by law, whether by the State or any body corporate or person, pursuant to any law, for the time being in force, or any contract to this effect:

Provided that the use of Aadhaar number under this section shall be subject to the procedure and obligations under section 8 and Chapter VI.

Now, let us simply read through the operating part of the order with reference to Section 57, ie. on page 560. This is a part of paragraph 447 (4) (h). The judges broke this into 3 sections, and mandated changes:

  1. ‘for any purpose’ to be read down to a purpose backed by law.
  2. ‘any contract’ is not permissible.
  3. ‘any body corporate or person’ – this part is struck down.

Applying these changes to the section, we get:

Nothing contained in this Act shall prevent the use of Aadhaar number for establishing the identity of an individual for any purpose a purpose backed by law, whether by the State or any body corporate or person, pursuant to any law, for the time being in force, or any contract to this effect:

Provided that the use of Aadhaar number under this section shall be subject to the procedure and obligations under section 8 and Chapter VI.

Cleaning this up, we get:

Nothing contained in this Act shall prevent the use of Aadhaar number for establishing the identity of an individual pursuant to any law, for the time being in force:

Provided that the use of Aadhaar number under this section shall be subject to the procedure and obligations under section 8 and Chapter VI.

It is our opinion that this judgement does not completely invalidate the use of Aadhaar by private players, but rather, specifically strikes down the use for “any purpose [..] by any body corporate or person [..] (under force of) any contract”. That is, it requires the use of Aadhaar be purpose-limited, legally-backed (to give user rights & protections over their data) and privacy-protecting.

As an exercise, we took the most conservative interpretation – “all private use is struck down in any form whatsoever” – and reread the entire judgement to look for clues that support this conservative view.

Instead, we found that such an extreme view is inconsistent with multiple other statements made by the judges. As an example, earlier discussions of Section 57 in the order (paragraphs 355 to 367). The conclusion there – paragraph 367 states:

The respondents may be right in their explanation that it is only an enabling provision which entitles Aadhaar number holder to take the help of Aadhaar for the purpose of establishing his/her identity. If such a person voluntary wants to offer Aadhaar card as a proof of his/her identity, there may not be a problem.

Some pointed out that this is simply a discussion and not an operative clause of the judgement. But even in the operative clauses where the linking of Aadhaar numbers with bank accounts and telecom companies is discussed, no reference was made to Section 57 and the use of Aadhaar by private banks and telcos.

The court could have simply struck down the linking specifically because most banks and telcos are private companies. Instead, they applied their mind to the orders which directed the linking as mandatory. This further points to the idea that the court does not rule out the use of Aadhaar by private players, it simply provides stricter specifications on when and how to use it.

What private players should do today

In our previous post, we had advised private companies to relook at their use of Aadhaar, and ensure that they provide choice to all users, so that they can use an appropriate identity, and also build in better exception handling procedures for all kinds of failures (including biometric failures).

Now, in addition to our previous advice, we would like to expand the advice to ask that each company look at how their specific use case draws from the respective acts, rules, regulations and procedural guidelines to ensure that these meet the tests used by this judgement. That is, they contain adequate justification and sufficient protections for the privacy of their users.

For instance, banks have been using Aadhaar eKyc to open a bank account, Aadhaar authentication to allow operation of the bank accounts, and using the Aadhaar number as a payment address to receive DBT benefits. Each of these will have to be looked at how they derive from the RBI Act and the regulations that enable these use cases.

These reviews will benefit from the following paragraphs in the judgement.

The judgement confirmed that the data collected by Aadhaar is minimal and is required to establish one’s identity.

Paragraph 193 (and repeated in other paras):

Demographic information, both mandatory and optional, and photographs does not raise a reasonable expectation of privacy under Article 21 unless under special circumstances such as juveniles in conflict of law or a rape victim’s identity. Today, all global ID cards contain photographs for identification alongwith address, date of birth, gender etc. The demographic information is readily provided by individuals globally for disclosing identity while relating with others and while seeking benefits whether provided by government or by private entities, be it registration for citizenship, elections, passports, marriage or enrolment in educational institutions …

The judgement has a lot to say in terms of what the privacy tests should be, but we would like to highlight two of those paragraphs here.

Paragraph 260:

Before we proceed to analyse the respective submissions, it has also to be kept in mind that all matters pertaining to an individual do not qualify as being an inherent part of right to privacy. Only those matters over which there would be a reasonable expectation of privacy are protected by Article 21…

Paragraph 289:

‘Reasonable Expectation’ involves two aspects. First, the individual or individuals claiming a right to privacy must establish that their claim involves a concern about some harm likely to be inflicted upon them on account of the alleged act. This concern ‘should be real and not imaginary or speculative’. Secondly, ‘the concern should not be flimsy or trivial’. It should be a reasonable concern…

Hence, the privacy risk in these use cases must be evaluated in terms of the data in the use case itself, as well as in relation to biometrics, and the Aadhaar number in the context of the user’s expectations, and real risks. Businesses must evaluate their products, and services – particularly those which use Aadhaar for privacy risks. It is helpful that the UIDAI has provided multiple means of mitigating risks, in the form of Registered Devices, Virtual Ids, Tokenization, QR Codes on eAadhaar, etc. which must be used for this purpose.

What private players should do tomorrow

In the future, the data protection bill will require a data protection impact assessment before deploying large scale systems. It is useful for businesses to bring in privacy and data protection assessments early in their development processes since it will help them better protect their users, and reduce potential liability.

This is a useful model, and we would hope that, in light of the Supreme Court judgement, the Government will introduce a similar privacy impact review, and provide a mechanism to regulate the use of Aadhaar for those use cases, where there are adequate controls to protect the privacy of the users and to prevent privacy harms. Use cases, and an audit/enforcement mechanism matter more than whether the entity is the state, a public sector organization, or a private sector organization.

Note: This is in continuation of Sanjay Jain’s previous op-ed in the Economic Times which is available here and same version on the iSPIRT blog here.

The writer is currently Partner, Bharat Innovation Fund, and Chief Innovation Officer at the Centre for Innovation, Incubation and Entrepreneurship, IIM Ahmedabad. As a volunteer at iSPIRT, he helped define many of the APIs of the India Stack.  He was the Chief Product Manager of UIDAI till 2012

(Disclaimer: This is not legal advice)

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Make It ID Of Choice For Your Users

Wednesday’s Supreme Court judgment has upheld not just the constitutionality of Aadhaar but also our right to identity. It also recognises Aadhaar as a tool that fulfils that right. While the founding principles of Aadhaar — privacy and inclusion —were upheld, a few provisions of the Aadhaar Act, including Section 57, were struck down.

Section 57 was an enabling provision for Aadhaar’s use in many contexts. The portion of the section that enables “body corporates and individuals to seek authentication under force of contract” has been declared unconstitutional.

I’d like to open an account with my Aadhaar

As a result, some quarters are concerned that the use of Aadhaar by private firms has been completely prohibited. These concerns are largely unfounded.

The striking down of Section 57 must not be read in isolation. The majority judgment recognises the purposes of identification in other contexts. Section 2(u), when read with Section 8, provides a clear path for Aadhaar authentication and eKYC (know your customer) by regulated private entities. Para 367 explicitly states that a citizen may voluntarily offer her Aadhaar card to anyone as proof of identity.

To put it simply: private entities can request for Aadhaar authentication from an individual on a voluntary basis when backed by law.

Furthermore, Government of India (GoI) has confirmed this view that the use of Aadhaar authentication by private entities, when ‘backed by law’, will be permitted and, if required, ‘corrective measures’ will be taken to ensure the same. Given the permissive provisions of the judgment and GoI’s progressive stance, the IndiaStack ecosystem should continue to thrive with Aadhaar and the upcoming Data Protection Bill as strong foundations.

This is important as the private sector spans every industry and accounts for over six crore jobs. Many of these sectors require ID verification by law, and, of late, have used Aadhaar eKYC to dramatically reduce the cost of onboarding and servicing customers — thus enabling them to serve the previously underserved.

This is Aadhaar’s inclusiveness potential at work in the private sector.

So, where does the industry go from here? Many regulated use cases will find that they are backed by laws like the Prevention of Money Laundering Act (PMLA), the Securities and Exchange Board of India (SEBI) Act, and the Information Technology Act.

But the regulators must review the regulations, and ensure they contain adequate justifications so that they can pass the proportionality test.

The judgment has placed the individual at the centre. India Inc will have to pay special attention to getting informed consent. This will strengthen the trust between them and users. Industry must review their products — giving people more ways to prove their identity. They must also improve their protocols to handle authentication failures and other exceptions. These measures will allow the industry to conform to the judgment while improving products and services.

The laws and regulations pertaining to Aadhaar and data protection are new and subject to constant evolution.

The development of rules and regulations for this ecosystem must comply with the Supreme Court judgment, protect user privacy, and reduce the cost of serving the customer. These rules of the game will let companies know how to behave, and users know what to expect. This can only happen through new institutions.

Twenty-first-century technology platforms can’t be built with the support of old-school trade body structures. It needs a new kind of industry body, one built by new-age players, and is responsible and nimble enough to facilitate the twin goals of regulatory compliance and constant innovation. It is time the new-age technology platforms that are at the forefront of India Stack adoption take on this mantle and build an ecosystem that unlocks the full potential of our economy while respecting the law of the land, and protecting the rights of every Indian.

Please note: The article was first published on The Economic Times (https://blogs.economictimes.indiatimes.com/et-commentary/make-it-id-of-choice-for-your-users/)

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How To Empower 1.3 Billion Citizens With Their Data

2018 has been a significant year in our relationship with Data. Globally, the Cambridge Analytica incident made people realise that democracy itself can be vulnerable to data.  Closer to home, we got a first glimpse at the draft bill for Privacy by the Justice Sri Krishna Committee.

The writing on the wall is obvious. We cannot continue the way we have. This is a problem at every level – Individuals need to be more careful with whom they share their data and data controllers need to show more transparency and responsibility in handling user data. But one cannot expect that we will just organically shift to a more responsible, transparent, privacy-protecting regime without the intervention of the state. The draft bill, if it becomes law, will be a great win as it finally prescribes meaningful penalties for transgressions by controllers.

But we must not forget that the flip side of the coin is that data can also help empower people. India has much more socio-economic diversity than other countries where a data protection law has been enacted. Our concerns are more than just limiting the exploitation of user data by data controllers. We must look at data as an opportunity and ask how can we help users generate wealth out of their own data. Thus we propose, that we should design an India-specific Data Protection & Empowerment Architecture (DEPA). Empowerment & Protection are neither opposite nor orthogonal but co-dependent activities. We must think of them together else we will miss the forest for the trees.

In my talk linked below which took place at IDFC Dialogues Goa, I expand more on these ideas. I also talk about the exciting new technology tools that actually help us realise a future where Data can empower.

I hope you take away something of value from the talk. The larger message though, is that it is still early days for the internet. We can participate in shaping its culture, maybe even lead the way, instead of being passive observers. The Indian approach is finding deep resonance globally, and many countries, developing as well as developed, are looking to us for inspiration on how to deal with their own data problem. But it is going to take a lot more collaboration and co-creation before we get there. I hope you will join us on this mission to create a Data Democracy.

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Volunteer Hero: Nikhil Kumar

iSPIRT volunteers are strivers. We seek the good for our nation and our ecosystem. We brainstorm, ideate, experiment, build, and evangelize to fulfill our mission of making India a Product Nation. Every volunteer draws us into an ever-enlarging realm of intellectual possibilities and purposeful engagements.

Take Nikhil Kumar for instance. He stepped up almost two years ago to evangelize UPI and handhold its early adopters. He set out to create winning implementations that would put traditional payment systems to shame. Needless to say, this wasn’t an easy thing to do. There was no template to follow. And, most didn’t believe in the potential of this new breakthrough payment system. But this didn’t faze Nikhil. He had chosen his adventure inside iSPIRT and nothing could hold him back.

Today, UPI is a success story. However, that’s not the full story.

Nikhil showed us how to stay cool under fire, to foster affinity, and skillfully navigate diverse opinions amongst many stakeholders. His all-hands-on-deck work ethic came with an ability to take decisive action when the situation demanded it. He showed that a young volunteer can be a visionary with big plans and the capacity to bring them to life. He has set an example for all of us on how to pay-forward and serve a cause bigger than all of us. All this makes him an iSPIRT Volunteer Hero.

iSPIRT Volunteer Heroes – Vivek Raghavan, Rohith Veerjappa, Nikhil Kumar

From tomorrow, Nikhil is shifting gears. He is stepping away from being a volunteer-in-residence. He is taking a few months break. After that, he plans to create a startup. This is great news for iSPIRT. While our India Stack and other technology public platforms create possibilities, it is the products and services that create value. We need all elements of a healthy society – sarkar, samaj, bazaar – to come together to solve population scale problems sustainably. So, we wish him all the very best in this new pursuit of excellence.

All shifts require an adjustment. While Nikhil will remain a part-time iSPIRT volunteer working on WANI, he will no longer be the iSPIRT voice on payments for media, policymakers, startups and financial institutions.

Nikhil’s lasting legacy is that he opened up iSPIRT volunteering for talented youngsters under-30s. Today we have more than a dozen young power volunteers. He has helped all of us see the particular gifts that these young volunteers bring to the cause. His spirit will live on!

By Sharad Sharma, Pramod Varma and Sanjay Khan Nagra for Volunteer Fellow Council

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It takes time to build something successful!

Since SaaSx second edition, I have never missed a single edition of SaaSx. The 5th edition – SaaSx was recently held on the 7th of July, and the learnings and experiences were much different from the previous three that I had attended.

One primary topic this year was bootstrapping, and none other than Sridhar Vembu, the CEO and Founder of Zoho, was presenting. The session was extremely relevant and impactful, more so for us because we too are a bootstrapped organisation. Every two months of our 4.5 year-long bootstrapped journey, we have questioned ourselves on whether we have even got it right! If we should go ahead and raise funds. Sridhar’s session genuinely helped us know and understand our answers.

However, as I delved deeper, I realised that the bigger picture that Sridhar was making us aware of was the entrepreneurial journey of self-discovery. His session was an earnest attempt to promote deep thinking and self-reflection amongst all of us. He questioned basic assumptions and systematically dismantled the traditional notions around entrepreneurship. Using Zoho as an example, he showed how thinking from first principles helped them become successful as a global SaaS leader.


What is it that drives an entrepreneur? Is it the pursuit of materialistic goals or the passion to achieve a bigger purpose? The first step is to have this clarity in mind, as this can be critical in defining the direction your business would take. Through these questions, Sridhar showed that business decisions are not just driven by external factors but by internal as well.

For example, why should you chase high growth numbers? As per him, the first step to bootstrapping is survival. The top 5 goals for any startup should be Survive, Survive, Survive, Survive, Survive. Survival is enough. Keep your costs low and make sure all your bills are paid on time.  Cut your burn rate to the lowest. Zoho created 3 lines of business. The current SaaS software is their 3rd. They created these lines during their journey of survival and making ends meet.


Why go after a hot segment (with immense competition) instead of a niche one?  If it’s hot, avoid it i.e. if a market segment is hot or expected to be hot, it will be heavily funded. It will most likely be difficult to compete as a bootstrapped organisation and is henceforth avoidable. Zoho released Zoho docs in 2007, but soon as he realized that Google and Microsoft had entered the space, he reoriented the vision of Zoho to stay focused on business productivity applications. Zoho docs continues to add value to Zoho One, but the prime focus is on Applications from HR, Finance, Support, Sales & Marketing and Project Management.  Bootstrapping works best if you find a niche, but not so small that it hardly exists. You will hardly have cut throat competition in the niche market and will be able to compete even without heavy funding.

Most SaaS companies raise funds for customer acquisition. Even as a bootstrapped company customer acquisition is important. As you don’t have the money, you will need to optimise your marketing spend. Try and find a cheaper channel first and use these as your primary channel of acquisition. Once you have revenue from the these channels, you can start investing in the more expensive one. By this time you will also have data on your life time value and will be able to take better decisions.

Similarly, why base yourself out of a tier 1 city instead of tier 2 cities (with talent abound)? You don’t need to be in a Bangalore, Pune, or a Mumbai to build a successful product. According to Sridhar, if he wanted to start again, he would go to a smaller city like Raipur. Being in an expensive location will ends up burning your ‘meager monies’ faster. This doesn’t mean that being in the top IT cities of India is bad for your business, but if your team is located in one of the smaller cities, do not worry. You can still make it your competitive advantage.

Self-discipline is of utmost importance for a bootstrapped company. In fact, to bootstrap successfully, you need to ensure self-discipline in spends, team management, customer follow-ups, etc. While bootstrapping can demand frugality and self-discipline, the supply of money from your VC has the potential to destroy the most staunchly disciplined entrepreneurs as well. Watch out!

And last but not the least – It takes time to build something successful. It took Zoho 20 years to make it look like an overnight success.

This blog is authored by Ankit Dudhwewala, Founder – CallHippo, AppItSimple Infotek, Software Suggest. Thanks to Anukriti Chaudhari and Ritika Singh from iSPIRT to craft the article.

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The Second 20 Confirmed Batch at #SaaSx5

2 days to go for #SaaSx5 and we are reaching our limits for this year. I had missed a few folks in the first batch of 50 announced, so including them along with  the next 20+ (in no particular order).

  1. 99Tests
  2. Appmaker
  3. Auzmor
  4. Botminds Inc
  5. CallHippo
  6. CIAR Software Solutions
  7. Cogknit Semantics
  8. CustomerSuccessBox
  9. Deck app technologies
  10. GreytHR
  11. Happay
  12. HotelLogix
  13. Indusface
  14. inFeedo
  15. Infurnia
  16. LogiNext
  17. Makesto
  18. Mindship.io
  19. Pepipost
  20. PregBuddy
  21. Recruiterbox
  22. ReferralYogi
  23. Swym

There will be one last list sent out tomorrow of confirmed participants. Really excited about the sessions which are shaping up at #SaaSx5

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The First 50 Confirmed Companies at #SaaSx5

We are almost there. Only 3 days for #SaaSx5.

For people who are have attended earlier SaaSx I don’t need to tell this, but for all those who are attending the event for the first time – SaaSx is an informal event for knowledge sharing by SaaSprenuers for SaaSprenuers. This is why we have it on the beach for the last 3 years. 🙂

If you don’t know what this is about, SaaSx5, iSPIRT Foundation flagship event for software entrepreneurs of India, is being held in Chennai on 7, July 2018 (Saturday). SaaSx has been instrumental in shaping Global Software from India in the last 3 years. This year the theme is to help SaaS entrepreneurs setup for growth over the next 1-2 years.

So the first 50 confirmed list #SaaSx5 companies is here. It has been a slog for us going through all the applications we received, especially the initial drive to set extremely fair criteria and process. Listening to feedback from earlier SaaSx this year we decided to allow Founder and +1 (from their leadership team). Having a tag team we believe is extremely helpful to the founders in learning, assimilating and taking it back to their teams. This also meant that given the small limited space we had to be strict in our curation to ensure most SaaS product startups had an opportunity.

By the time this post goes live many other invites will have been sent and confirmed. We will continue to announce the companies finalized as we go along, so they can start preparing for the amazing sessions.

There are still spots, so if you have not registered or confirmed your invite (check your email), please do it quickly.

saasx5

In no particular order, here are the first 50 (based on their confirmations).

  1. 3Five8 Technologies
  2. 930 Technologies Pvt. Ltd.
  3. AceBot
  4. ADDA
  5. Airim
  6. Almabase
  7. Appointy
  8. Artifacia
  9. Artoo
  10. Asteor Software
  11. BlogVault Inc
  12. Bonzai digital
  13. CogniSight
  14. DevSys Embedded Technologies Pvt Ltd.
  15. FactorDaily
  16. FlytBase
  17. FormGet
  18. Fourth Dimension Software Systems India Pvt Ltd.
  19. Fyle
  20. Gaglers Inc
  21. Godb Tech Private Limited
  22. inFeedo
  23. Infilect Technologies Private Limited
  24. InMobi
  25. Inscripts
  26. JKL Technologies
  27. Leadworx
  28. LiveHealth
  29. Lucep
  30. Mindship Technologies
  31. Netcore Solutions
  32. Olivo Inc
  33. Omnify Inc
  34. Playlyfe
  35. Plivo
  36. PushEngage
  37. QueryHome Media Solutions Ind Pvt Ltd.
  38. ReportGarden
  39. Rocketium
  40. ShieldSquare
  41. Siftery
  42. SlickAccount
  43. Stealth
  44. Strings.ai
  45. Syscon Solutions Pvt. Ltd.
  46. Tagalys
  47. United Translogix Pvt Ltd
  48. Vernacular.ai
  49. Waffor Retail Solutions Pvt Ltd.
  50. webMOBI

[Update: Next 20+ also announced]

All confirmed participants will receive further information in their mailboxes.

Looking forward to an amazing #SaaSx5!

Thanks to our many behind the scenes volunteers who have been tirelessly working on getting us this far and continuing on. Thanks to Chirantan & team from Software Suggest for crafting this post.

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Data Privacy and Empowerment in Healthcare

Technology has been a boon to healthcare. Minimally-invasive procedures have significantly increased safety and recovery time of surgeries. Global collaboration between doctors has improved diagnosis and treatment. Rise in awareness of patients has increased the demand for good quality healthcare services. These improvements, coupled with the growing penetration of IT infrastructure, are generating huge volumes of digital health data in the country.

However, healthcare in India is diverse and fragmented. During an entire life cycle, an individual is served by numerous healthcare providers, of different sizes, geographies, and constitutions. The IT systems of different providers are often developed independently of each other, without adherence to common standards. This fragmentation has the undesirable consequence of the systems communicating poorly, fostering redundant data collection across systems, inadequate patient identification, and, in many cases, privacy violations.

We believe that this can be addressed through two major steps. Firstly, open standards have to be established for health data collection, storage, sharing and aggregation in a safe and standardised manner to keep the privacy of patients intact. Secondly, patients should be given complete control over their data. This places them at the centre of their healthcare and empowers them to use their data for value-based services of their choice. As the next wave of services is built atop digital health data, data protection and empowerment will be key to transforming healthcare.

Numerous primary health care services are already shifting to smartphones and other electronic devices. There are apps and websites for diagnosing various common illnesses. This not only increases coverage but also takes the burden away from existing infrastructures which can then cater to secondary and tertiary services. Data shared from devices that track steps, measure heartbeats, count calories or analyse sleeping patterns can be used to monitor behavioural and lifestyle changes – a key enabler for digital therapeutic services. Moreover, this data can not only be used for monitoring but also for predicting the onset of diseases! For example, an irregular heartbeat pattern can be flagged by such a device, prompting immediate corrective measures. Thus, we see that as more and more people generate digital health data, control it and utilise it for their own care, we will gradually transition to a better, broader and preventive healthcare delivery system.

In this context, we welcome the proposed DISHA Act that seeks to Protect and Empower individuals in regards to their electronic health data. We have provided our feedback on the DISHA Act and have also proposed technological approaches in our response. This blog post lays out a broad overview of our response.

As our previous blog post articulates the principles underlying our Data Empowerment and Protection Architecture, we have framed our response keeping these core principles in mind. We believe that individuals should have complete control of their data and should be able to use it for their empowerment. This requires laying out clear definitions for use of data, strict laws to ensure accountability and agile regulators; thus, enabling a framework that addresses privacy, security and confidentiality while simultaneously improving transparency and interoperability.

While the proposed DISHA Act aligns broadly with our core principles, we have offered recommendations to expand certain aspects of the proposal. These include a comprehensive definition of consent (open standards, revocable, granular, auditable, notifiable, secure), distinction between different forms of health data (anonymization, deidentification, pseudonymous), commercial use of data (allowed for benefit but restricted for harm) and types and penalties in cases of breach (evaluation based on extent of compliance).

Additionally, we have outlined the technological aspects for implementation of the Act. We have used learnings from the Digital Locker Framework and Electronic Consent Framework (adopted by RBI’s Account Aggregator), previously published by MeitY. This involves the role of Data Fiduciaries – entities that not only manage consent but also ensure that it aligns with the interests of the user (and not with those of the data consumer or data provider). Data Fiduciaries only act as messengers of encrypted data without having access to the data – thus their prime task remains managing the Electronic Data Consent. Furthermore, we have highlighted the need to use open and set standards for accessing and maintaining health records (open APIs), consented sharing (consent framework) and maintaining accountability and traceability through digitally verified documents. We have also underscored the need for standardisation of data through health data dictionaries, which will open up the data for further use cases. Lastly, we have alluded to the need to create aggregated anonymised datasets to enable advanced analytics which would drive data-driven policy making.

We look forward to the announcement and implementation of the DISHA Act. As we move towards a future with an exponential rise in digital health data, it is critical that we build the right set of protections and empowerments for users, thus enabling them to become engaged participants and better managers of their health care.

We have submitted our response. You can find the detailed document of our response to DISHA Act below

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Building for Bharat – A Bharat Inclusion Initiative

Bharat Inclusion Initiative seeks to equip entrepreneurs with the right knowledge, skills and tools they need to solve some of the toughest problems of India in a scalable manner using technology. While Bharat Inclusion Research Fellows are working on some of the most interesting studies, another important source of knowledge is thought leaders and domain experts who have been there and done that. In this three-part video series, we have Dr Pramod Varma, the Chief Architect of Aadhaar, providing his perspective on how entrepreneurs can go about building solutions for Bharat.

Part 1: The Key Construct

What are Bharat’s unique attributes? Its needs and aspirations? With data becoming one of Bharat’s key assets, how can entrepreneurs leverage it to provide solutions that matter? Watch the video to know some answers to these questions and much more.

Part 2: The Journey So Far

How to leverage the opportunity made available through Data empowerment? Know how Aadhaar, India’s biometric ID, has fundamentally changed the economics of reaching the poor. Understand how the Aadhaar platform has aided in building further platforms of IndiaStack such as eSign and Digilocker which have further reduced cost and increased trust at scale. The video rounds off with another uniquely Indian platform — Unified Payment Interface (UPI).

Part 3: Exciting Times Ahead

Reimagine solutions. With the newer domain, specific stacks being built, learn how even seemingly unrelated domains can use these platforms to offer innovative solutions. With GST and BBPS already in place, and more being built around transport (ETC), National Health Stack, Diksha and Drone Stack it has been never this good for entrepreneurs crafting solutions for Bharat. Watch the video to understand how.

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What is Bharat Inclusion Initiative?

Bharat Inclusion Initiative (BII) is an incubator platform at CIIE that provides entrepreneurs with the domain knowledge, training, financial support, mentorship, and market access they need to bring inclusive, for-profit-business to life. BII’s core design is to promote technology-driven entrepreneurship towards the delivery of affordable services to the Bharat Segment- the poorest 200 million households in India who survive on less than $5 per person a day through programs, fellowships, and funding where possible.

The program focuses on solutions leveraging technology, especially the India Stack. It integrates financial inclusion research with entrepreneurship and training to transform these solutions into scalable, viable and high impact businesses.  Keen on partnering with entrepreneurs who are driven by building next-generation digital services for India. Reach out to us at [email protected] or ask your questions in the comments section below.

Please note: The above information was first published by Bharat Inclusion Fellows here: https://medium.com/bharatinclusion/building-for-bharat-df8b12867271

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SaaSy bear SaaSy bear what do you see?

Shifts for SaaS - SaaSy Bear

I see 3 shifts critical for me!

Taking a line from the popular Brown Bear children’s book, I believe that our SaaS startups have a real opportunity to leverage some leading shifts in the global SaaS evolution. While there are many areas of change – and none less worthy than the other – I am highlighting 3 shifts for SaaS (tl;dr) which our entrepreneurs can actually work with and help change their orbit:

  • Market shifts with AI/ML for SaaS to build meaningful product & business differentiation,
  • Platform Products shift to transform into a multi-product success strategy,
  • Leveraging Partnerships for strategic growth and value co-creation.

Some background

I joined iSPIRT with a goal to help our community build great global products. I believed (and still do) that many entrepreneurs struggle with the basics of identifying a strong value proposition and build a well thought out product. They need strong support from the community to develop a solid product mindset & culture. My intent was to activate a product thinkers community and program leveraging our lean forward playbooks model.

I had several conversations with community members & mavens on playbooks outcomes and iterating our playbook roundtables for better product thinking. I realized that driving basic product thinking principles required very frequent and deeper engagement with startups. But our playbooks approach model – working in a distributed volunteer/maven driven model – is not set up to activate such an outcome. Through our playbooks model, our mavens had helped startups assimilate best practices on topics like Desk Sales & Marketing, something that was not well understood some years back. This was not a basic topic. The power of our playbook RTs was in bringing the spotlight on gaps & challenges that were underserved but yet highly impactful.

As a product person, I played with how to position our playbooks for our entrepreneur program. I believe our playbooks have always been graduate-level programs and our entrepreneurs are students with an active interest to go deep with these playbooks, build on their basic undergraduate entrepreneurship knowledge, and reach higher levels of growth.

The product thinking and other entrepreneurial skills are still extremely relevant, and I am comforted by the fact that there are many community partners from accelerators like Upekkha to conclaves like NPC and event-workshop formats like ProductGeeks which are investing efforts to build solid product thinking & growth skills.

As the SaaS eco-system evolves, and as previous graduate topics like desk sales & marketing are better understood, we need to build new graduate-level programs which address critical & impactful market gaps but are underserved. We need to help startups with meaningful & rapid orbit shifts over the next 2-3 years.

Discovering 3 Shifts for SaaS

Having come to this understanding I began to explore where our playbooks could continue to be a vibrant graduate-level program and replicate our success from the earlier playbooks. Similar to an entrepreneur’s journey, these three shifts became transparent through the many interactions and explorations of SaaS entrepreneurs.

Market Shift with AI/ML for SaaS

There is no doubt that AI is a tectonic shift. The convergence of big data availability, maturity of algorithms, and affordable cloud AI/ML platforms, has made it easy for SaaS startups to leverage AI/ML. During a chance roundtable learning session on Julia with Dr. Viral Shah & Prof Alan Edelman, it was clear that many entrepreneurs – head down into their growth challenges – were not aware of the realities behind the AI hype. Some thought AI/ML should be explored by their tech team, others felt it required a lot of effort & resources. The real challenge, however, is to discover & develop a significantly higher order AI-enabled value to customers than was feasible 2 years ago. While AI is a technology-driven shift, the implications for finding the right product value and business model are even greater.

As I explored the AI trend I saw a pattern of “gold rush” – build a small feature with rudimentary AI, market your product as an AI product… – making early claims with small changes which do not move the needle. It became clear that a step-by-step pragmatic thinking by our SaaS startups was required to build an AI-based leapfrog value proposition. This could help bring our startups to be at “par” and potentially even leap ahead of our global brethren. Here was an opportunity to create a level playing field, to compete with global players and incumbents alike.

To validate my observations, I did quick small research on SaaS companies outside of India on their approach with AI. I found quite a few startups where AI was already being leveraged intrinsically and others who were still trying to make sense. Investments varied from blogging about the AI trend, branding one as a thought leader, to actually building and delivering a strongly differentiated product proposition. E.g.:

There are no successes, yet! Our startups like Eka, Wingify, FreshWorks, WebEngage… have all been experimenting with AI/ML, stumbling and picking themselves up to build & deliver a higher level of value. Some others are setting up an internal playground to explore & experiment. And many others are waiting on the shore unsure of how to board the AI ship.

How do we enable our companies to create new AI playgrounds to analyze, surface, validate and develop higher order customer values & efficiencies? To chart a fruitful journey with AI/ML there are many challenges that need to be solved. And doing it as a group running together has a better chance of success.

The AI+SaaS game has just begun and it is the right time for our hungry entrepreneurs to Aspire for the Gold on a reasonable level playing field.

Shift to Platform Products

As market needs change, the product needs a transform. As new target segments get added different/new product assumptions come into play. In both these scenarios existing products begin to age rapidly and it becomes important for startups to re-invent their product offerings. To deal with such changes startups must experiment and iterate with agility. They require support from a base “internal” platform to allow them to transform from a single product success strategy to scaling with multiple products strategy.

This “internal” base platform – an infrastructure & layout of technology components to interconnect data & horizontal functional layers – would help to build & support multiple business specific problem-solution products (vertical logics). The products created on such a platform provide both independent as well as a combined value proposition for the customers.

Many startups (Zendesk, Freshdesk, Eka, WebEngage…) have undertaken the painful approach of factoring an internal platform to transform their strategy & opportunity. Zoho has been constantly reinventing itself and launching new products on a common platform, some of which are upending incumbent rivals in a very short period of time. WebEngage transformed itself from a “tool” into an open platform product.

“As the dependency on our software grew, customers needed more flexibility to be able to use their data to solve a wide range of business problems…significant difference in the way we build products now. We have unlocked a lot of value by converting ourselves into an open platform and enabling customer data to flow seamlessly across many products.” – Avlesh Singh, WebEngage

The effort to build an internal platform appropriately architected to support growing business needs (many yet unknown) is non-trivial and requires a platform thinking mindset for increased business development. It must be architected to allow rapid co-creation of new & unique product values in collaboration with external or market platforms. This can help the startup be a formidable player in the growing “platform economy”.

Leveraging Potential Strategic Partnerships

A strategic partner offers 2 benefits for startups. First is the obvious ability to supercharge the startup’s GTM strategy with effective distribution & scale. How does one make a strategic partnership? Pitching to a strategic partner is very different from pitching to a customer or investor. PSPs look for something that is working and where they can insert themselves and make the unit economics even better. 

“I thought I knew my pitch and had the details at my fingertips. But then I started getting really valuable, thought-out feedback…I had to focus on pitching to partners, not customers.” – Pallav Nadhani, FusionCharts

The second leverage with a partner is the ability to innovate in the overlap of the partner’s products & offerings and the startup’s product values. A good partner is always looking for startups which can co-create a unique value proposition and impact an extremely large customer base.

“…we still have only three four percent market share when it comes to customers. So if we have to participate we have to recognize that we are not gonna be able to do it alone we’re going to have to have a strategy to reach out to the entire marketplace and have a proposition for the entire marketplace…you need to (do it) through partnerships.” – Shikha Sharma, MD Axis Bank

Both these partnership intents if nurtured well can bring deep meaningful relationship which can further transcend scale into a more permanent model (investment, M&A…).

Working with the 3 Shifts of SaaS

While each shift is independent in its own importance, they are also inter-related. E.g. an internal platform can allow a startup to co-create with a partner more effectively. Partners are always interested in differentiated leading-edge values such as what is possible with leveraging AI/ML. Magic is created when a startup leverages an internal platform, to co-create a strong AI-enabled value, in the overlap & gap with potential strategic partners.

And that’s what I see

I see a vibrant eco-system of SaaS startups in India working on creating leading global products. Vibrancy built on top of the basic product thinking skills and catapulted into a new orbit by navigating the 3 shifts.

“Reading market shifts isn’t easy. Neither is making mindset shifts. Startups are made or unmade on their bets on market/mindset shifts. Like stock market bubbles, shifts are fully clear only in hindsight. At iSPIRT, we are working to help entrepreneurs navigate the many overlapping yet critical shifts.” – Sharad Sharma, iSPIRT

Through our roundtables, we have selected six startups as the first running group cohort for our AI/ML for SaaS playbooks (Acebot, Artoo, FusionCharts, InstaSafe, LegalDesk & SignEasy).

If you are hungry and ready to explore these uncharted shifts, we are bringing these new playbooks tracks for you.

Please let us know your interest by filling out this form.

Also, if you are interested in volunteering for our playbook tracks, we can really use your support! There is a lot to be done to structure and build the playbook tracks and the upcoming SaaSx5 for these shifts for SaaS. Please use the same form to indicate your support.

Ending this note with a sense of beginning, I believe that our startups have a real opportunity to lead instead of fast-follow, create originals instead of clones. They need help to do this as a running group instead of a solo contestant. It is with this mission – bring our startups at par on the global arena – that I am excited to support the ProductNation.

I would like to acknowledge critical insights from Avlesh Singh (WebEngage), Manav Garg (Eka), Shekhar Kirani (Accel Partners), Sharad Sharma (iSPIRT). Also am thankful for the support from our mavens, volunteers & founders who helped with my research, set up the roundtables, and draft my perspective with active conversations on this topic: Ankit Singh (Wibmo/MyPoolin), Anukriti Chaudhari (iSPIRT), Arvi Krishnaswamy (GetCloudCherry), Ganesh Suryanarayanan (Tata GTIO), Deepa Bachu (Pensaar), Deepak Vincchi (JuliaComputing), Karthik KS (iSPIRT), Manish Singhal (Pi Ventures), Nishith Rastogi (Locus.sh), Pallav Nadhani (FusionCharts), Praveen Hari (iSPIRT), Rakesh Mondal (RakeshMondal.in), Ravindra Krishnappa (Acebot.ai), Sandeep Todi (Remitr), Shrikanth Jangannathan (PipeCandy), Sunil Rao (Lightspeed), Tathagat Varma (ChinaSoft), Titash Neogi (Seivelogic), and many other volunteers & founders.

All images are credited to Rakesh Mondal 

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Understanding iSPIRT’s Entrepreneur Connect

There is confusion about how iSPIRT engages with entrepreneurs. This post explains to our engagement model so that the expectations are clear. iSPIRT’s mission is to make India into a Product Nation. iSPIRT believes that startups are a critical catalyst in this mission. In-line with the mission, we help entrepreneurs navigate market and mindset shifts so that some of them can become trailblazers and category leaders.

Market Shifts

Some years back global mid-market business applications, delivered as SaaS, had to deal with the ubiquity of mobile. This shift upended the SaaS industry. Now, another such market shift is underway in global SaaS – with AI/ML being one factor in this evolution.

Similar shifts are happening in the India market too. UPI is shaking up the old payments market. JIO’s cheap bandwidth is shifting the digital entertainment landscape. And, India Stack is opening up Bharat (India-2) to digital financial products.

At iSPIRT, we try to help market players navigate these shifts through Bootcamps, Teardowns, Roundtables, and Cohorts (BTRC).

We know that reading market shifts isn’t easy. Like stock market bubbles, market shifts are fully clear only in hindsight. In the middle, there is an open question whether this is a valid market shift or not (similar to whether the stock market is in a bubble or not). There are strong opinions on both sides till the singularity moment happens. The singularity moment is usually someone going bust by failing to see the shift (e.g. Chillr going bust due to UPI) or becoming a trailblazer by leveraging the shift (e.g. PhonePe’s meteoric rise).

Startups are made or unmade on their bets on market shifts. Bill Gates’ epiphany that browser was a big market shift saved Microsoft. Netflix is what it is today on account of its proactive shift from ground to cloud. Closer home, Zoho has constantly reinvented itself.

Founders have a responsibility to catch the shifts. At iSPIRT, we have a strong opinion on some market shifts and work with the founders who embrace these shifts.

Creating Trailblazers through Winning Implementations

We are now tieing our BTRC work to specific market-shifts and mindset-shifts. We will only work with those startups that have a conviction about these market/mindset-shifts (i.e., they are not on the fence), are hungry (and are willing to exploit the shift to get ahead) and can apply what they have learned from iSPIRT Mavens to make better products.

Another change is that we will work with young or old, big or small startups. In the past, we worked with only startups in the “happy-confused” stage.

We are making these changes to improve outcomes. Over the last four years, our BTRC engagements have generated very high NPS (Net Promoter Scores) but many of our startups continue to struggle with their growth ceilings, be it an ARR threshold of $1M, $5M, $10M… or whether it is a scalable yet repeatable product-market fit.

What hasn’t changed is our bias for working with a few startups instead of many. Right from the beginning, iSPIRT’s Playbooks Pillar has been about making a deep impact on a few startups rather than a shallow impact on many. For instance, our first PNGrowth had 186 startups. They had been selected from 600+ that applied. In the end, we concluded that we needed even better curation. So, our PNGrowth#2 had only 50 startups.

The other thing that hasn’t changed is we remain blind to whether the startup is VC funded or bootstrapped. All we are looking for are startups that have the conviction about the market/mindset-shift, the hunger to make a difference and the inner capacity to apply what you learn. We want them to be trailblazers in the ecosystem.

Supported Market/Mindset Shifts

Presently we support 10 market/mindset-shifts. These are:

  1. AI/ML Shift in SaaS – Adapt AI into your SaaS products and business models to create meaningful differentiation and compete on a global level playing field.

  2. Shift to Platform Products – Develop and leverage internal platforms to power a product bouquet. Building enterprise-grade products on a common base at fractional cost allows for a defensible strategy against market shifts or expanding market segments.

  3. Engaging Potential Strategic Partners (PSP) – PSPs are critical for scale and pitching to them is very different from pitching to customers and investors. Additionally, PSPs also offer an opportunity to co-create a growth path to future products & investments.

  4. Flow-based lending – Going after the untapped “largest lending opportunity in the world”.

  5. Bill payments – What credit and corporate cards were to West, bill payments will be to India due to Bharat Bill Pay System (BBPS).

  6. UPI 2.0 – Mass-market payments and new-age collections.

  7. Mutual Fund democratization – Build products and platforms that bring informal savings into the formal sector.

  8. From License Raj to Permissions Artefact for Drones – Platform approach to provisioning airspace from the government.

  9. Microinsurance for Bharat – Build products and platforms that reimagine Agri insurance on the back of India Stack and upcoming Digital Sky drone policy.

  10. Data Empowerment and Protection Architecture (DEPA) – with usage in financial, healthcare and telecom sectors.

This is a fluid list. There will be additions and deletions over time.

Keep in mind that we are trying to replicate for all these market/mindset-shifts what we managed to do for Desk Marketing and Selling (DMS). We focussed on DMS in early 2014 thanks to Mavens like Suresh Sambandam (KissFlow), Girish Mathrubootham (Freshworks), and Krish Subramaniam (Chargebee). Now DMS has gone mainstream and many sources of help are available to the founders.

Seeking Wave#2 Partners

The DMS success has been important for iSPIRT. It has given us the confidence that our BTRC work can meaningfully help startups navigate the market/mindset-shifts. We have also learned that the market/mindset-shift happens in two waves. Wave#1 touches a few early adopters. If one or more of them create winning implementations to become trailblazers, then the rest of the ecosystem jumps in. This is Wave#2. Majority of our startups embrace the market-shift in Wave#2.

iSPIRT’s model is geared to help only Wave#1 players. We falter when it comes to supporting Wave#2 folks. Our volunteer model works best with cutting-edge stuff and small cohorts.

Accelerators and commercial players are better positioned to serve the hundreds of startups embracing the market/mindset-shift in Wave#2. Together, Wave#1 and Wave#2, can produce great outcomes like the thriving AI ecosystem in Toronto.

To ensure that Wave#2 goes well, we have decided to include potential Wave#2 helpers (e.g., Accelerators, VCs, boutique advisory firms and other ecosystem builders) in our Wave#1 work (on a, needless to say, free basis). Some of these BTRC Scale Partners have been identified. If you see yourself as a Wave#2 helper who would like to get involved in our Wave#1 work, please reach out to us.

Best Adopters

As many of you know, iSPIRT isn’t an accelerator (like TLabs), a community (like Headstart), a coworking space (like THub) or a trade body. We are a think-and-do-tank that builds playbooks, societal platforms, policies, and markets. Market players like startups use these public goods to offer best solutions to the market.

If we are missing out on helping you, please let us know by filling out this form. You can also reach out to one of our volunteers here:

Chintan Mehta: AI shift in SaaS, Shift to Platform Products, Engaging PSPs

Praveen Hari: Flow-based lending

Jaishankar AL: Bill payments

Tanuj Bhojwani: Permissions Artefact for Drones

Nikhil Kumar: UPI2.0, MF democratization, Microinsurance for Bharat

Siddharth Shetty: Data Empowerment and Protection Architecture (DEPA)

Meghana Reddyreddy: Wave#2 Partners

We are always looking for high-quality volunteers. In case you’re interested in volunteering, please reach out to one of the existing volunteers or write to us at [email protected]

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First AI/ML Playbook Roundtable – Playing With the New Electricity

This is a Guest post by Krupesh Bhat (LegalDesk) and Ujjwal Trivedi (Artoo).

AI is seen as the new electricity that will power the future. How do we make the best of the opportunity that advancements in AI technology brings about? With this thought in mind iSPIRT conducted a symposium roundtable at the Accel Partners premises in Bengaluru on March 10th. Accel’s Sattva room was a comfortable space for 20+ participants from 11 startups. There were deep discussions and a lot of learning happened through subject matter experts as well as peers discussion. Here’s a quick collection of some pearls, that some of us could pick, from the ocean of the deep discussions that happened there.

Products that do not use AI will die soon. Products that use AI without natural intelligence (read common sense) will die sooner.

– Manish Singhal, Pi Ventures

Starting with that pretext, it isn’t hard to gather that AI is not just a promising technology, it is going to be an integral part of our lives in near future. So, what does it mean for existing products? Should everyone start focusing on how they can use AI? Are you an AI-first company? If not, do you need to be one? After all, it does not make sense to build the tech just because it appears to be the next cool thing to do. If you are building AI, can you tell your value proposition without mentioning the word AI or ML? have you figured out your data strategy? Is the need driven by the market or the product?

Before we seek answers we must clarify that there are two types of products/startups in the AI world:

First, an AI-first startup – a startup which cannot exist without AI. Their solution and business model is completely dependent on use of Artificial intelligence (or Machine Learning at least). Some examples of such startups in local ecosystem are Artifacia and Locus.sh.

Second, AI-enabled startup – startups with existing products or new products which can leverage AI to enhance their offering by a significant amount (5x/10x anyone?). Manish has a very nifty way of showing the AI maturity of such companies.

The session was facilitated by several AI experts including Manish Singhal of pi Ventures, Nishith Rastogi of Locus.sh, Shrikanth Jagannathan of PipeCandy, Deepak Vincchi of Julia Computing.

Maturity Levels of AI Startups

After a brief introduction by Chintan to set the direction and general agenda for the afternoon, Manish took over and talked about the various stages of AI based companies. Based on his interactions with many startups in the space, he said there are roughly four growth stages where different companies fall into:

Level 1 – No Data, No AI: An entity that solves a business problem and is yet to collect sufficient data to build a sustainable AI business. The AI idea will die down if the company fails to move to state 2 quickly. Business may be capturing data but not storing it.
Level 2 – Dark data, No AI: The company holds data but is yet to build solid AI/ML capabilities to become an AI company. There is a huge upside for such companies but the data strategy needs to be developed and AI capabilities are not mature enough to be considered as an AI/ML company.
Level 3 – Higher automation driven by data and AI: These are the companies that have built AI to make sense out of data and provide valuable insights into the data using AI/ML, possibly with some kind of human assistance.
Level 4 – Fully autonomous AI companies: These are the companies at the matured stage where they possess AI products that can run autonomously with no human intervention.

Manish also noted that most companies they meet as a VC are in level 1 and 2, while the ideal level would be 3 and 4. He noted that AI comprises of three important components: Data, Algorithm & the Rest of the System that includes UI, API & other software to support the entire system. While it is important to work on all three components, oftentimes, the data part doesn’t get enough importance.

Do You Really Need Artificial Intelligence?

A whole bunch of solutions are smart because they are able to provide additional value based on past data. These are not AI solutions. They are merely rule based insights. Nishith from Locus added that there is nothing really wrong with rule based systems and in a lot of cases AI is actually an overkill. However, there are two cases where it seems apt for startups to look at AI for their predicament:

  1. Data is incomplete: An example of this is Locus who gets limited mapping for gps coordinates and addresses.
  2. Data is changing constantly: A typical case was of ShieldSquare where bots are continuously evolving and improving and the system deployed to identify them also needs to learn new patterns and evolve with them.

It is important to have clarity on your AI model especially when you communicate with your internal teams. Figure out what is the core component of your product – AI, ML, Deep Learning or Computer Vision.

What’s Driving Your AI Approach?

There are two major driving forces that can help one in deciding whether to AI or not to AI.

  1. PUSH: The internal force when decision can largely be taken if your business is sitting on a lot of useful data, may be as a side effect of your key proposition.
  2. PULL: The external market driven force where clients expect or ask for it e.g chatbots. We are already observing that AI can be a great pricing mechanism.

However, take great caution when using Customer data or Derived data, it depends on legal agreement with clients and can get you into legal troubles if it violates any terms.

Is Your Data Acquisition Strategy in Place?

Anyone interested in AI should have a data acquisition strategy in place. Here are a few points that can help you get one in place:

    • What data do you collect, How do you validate it, Clean it and store it for further analysis?
    • Surveys and chatbots can provide a steady stream of data if built correctly
    • Think of data as a separate entity (has its own lifecycle), it may help to think of it as a currency and plan how you would earn, store and utilise it
    • Capturing location, user interaction data can be insightful. This may include the interactions user has committed and the ones they have not committed (deleted/skipped/hidden)
    • It makes sense to invest time, resources and people to gather data properly
    • Have a unified warehouse (can start with economical options like Google Analytics and AWS)

It is also important to give some thoughts on how you are using aggregate data across the platform. In case, if your AI model uses a combination of customer specific data and the sanitised aggregate data available in the platform (“Derived Work”), then you should make sure that you have the permission to use such data. Without such clarity, you may run into legal issues.

Deepak Vincchi explained how Julia Computing is emerging as the programming language of choice for data scientists. The platform can process 1.3 million threads in parallel and is used by large organizations to crunch data problems.

In all this was an extremely engaging 3 hours without break. Guiding the session with real examples by Nishith, Shrikanth and also shared learnings from Navneet and others really helped bring to life Why AI and How AI. This symposium is part of an AI playbooks track was aimed at kickstarting cohorts of startups ready to jump with AI and help them get traction with AI, more will emerge on this shortly.

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10 startups attended this mini-roundtable session – Acebot, Artifacia, Artoo, FusionCharts, InstaSafe, Klove, LegalDesk, Rocketium, Rubique, ShieldSquare.

Thanks to volunteers Rinka Singh and Adam Walker for their notes from the session and Ankit Singh (Mypoolin/Wibmo) for helping coordinate the blog post & note

* All iSPIRT playbooks are pro-bono, closed room, founder-level, invite-only sessions. The only thing we require is a strong commitment to attend all sessions completely, to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

Featured photo by Matan Segev from Pexels https://www.pexels.com/photo/action-android-device-electronics-595804/

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Playing with the new Electricity – AI/ML Playbook Sessions [March Update]

[Update 29-Mar] New April Session Dates – Symposium RT is being scheduled for Bangalore & Chennai (21st & 28th April). 

“Tectonic” market shifts happen every few years creating a change in landscape, market and opportunity. The most recent “tectonic” shift is the emergence of the Artificial Intelligence era. In just the same way electrification in the early 1900s transformed major industries globally, AI, Machine Learning & Deep Learning are poised to transform a multitude of industries, services & products.

It took 100 years from the discovery of electrical generator to electrification of industries. AI is doing this in a span of 70 years (from the time of the Turing Test).

AI/ML has gone through many winters and is now in its eternal spring. It portents a new framework for startups to navigate and evolve from an internet era startup into an AI era startup.


Every new era shift begins with a lot of smoke and hype before it is well understood. iSPIRT ProductNation & Julia are launching a set of AI/ML playbook roundtable & workshop sessions to dispel the hype around AI, and help bring a pragmatic mindset & process change necessary for product startups to leverage AI/ML. We believe AI is not just a technology shift. It is a combination of product, business, and technology shift. Adapting to it requires a new paradigm of thinking to build a viable value strategy. This needs to be done mindfully and in context of the value you offer to the customer, do not rush in with the AI hype.

These multi-step playbooks are for all categories of startups regardless whether they are AI-First or SaaS, and MarTech, FinTech, HealthTech or any other <Domain>Tech category, startups who are looking to deliver a higher order value to their customers by leveraging and applying AI models with their data.

Since AI/ML is still in its early years there aren’t any proven success playbooks. Hence these deep sessions will bring together AI experts, AI Mavens (entrepreneurs who are more ahead in their AI journey), iSPIRT Mavens, and selected startups, to discuss & share their insights, challenges & learnings on the mindset shifts outlined above and best practices adopted. The 2-step playbook roundtable sessions focused on founders (+1 typically CXO) and a hands-on lab workshop are a sequence of:

    • AI/ML Symposium RT (step 1) – An invite-only 3 hour mini-symposium playbook with AI/ML experts, first mover AI leaders & Mavens from our startup community and 10-15 invited startups, focusing on Why AI/ML? What was the higher order value being created? How to identify the opportunities to leverage AI? What do you need to get started with AI (if not already running)? Data needs for AI/ML investments… The shared awareness created in this session, combined with the commitment by startups to articulate their AI/ML opportunity, and detail their approach will lead to the next AI/ML roundtable.
    • AI/ML Playbook RT (step 2) – Startups at similar AI readiness from the Symposium will be invited for a 5-hour deep-dive roundtable discussion on the AI/ML challenges in the context of the startup domain, effectively going through their AI/ML readiness & approach (a review & teardown). Topics would emerge from the Symposium RT and could cover data collection & modeling strategy, AI transformation algorithms, Business model innovation, Success metrics… This session is restricted to 5-6 startups (having similar AI needs) per roundtable and an AI Maven to facilitate the topics & discussion. Possible outcomes for each startup would be to develop an action plan/checklist for next few months of execution. Additionally, startups can identify a tiger tech team to go to the AI/ML Training Lab to get traction for their checklist…
    • AI/ML Training Lab with Julia Sandbox (optional) – A 3+ day workshop intended for the 3-4 person tiger tech teams (CTO, Engg, Data guy, PM…) from each startup. The workshop will help focus on building competency, getting traction & executing implementations related to the checklist developed at the roundtable.

For the first set of these playbooks, we are inviting nominations/applications for startup founders (+CXOs) who are either directly focusing on AI-based opportunity or have started integrating AI/ML as a core strategy for their product growth/success. Please provide your nomination for startups you believe should be part of the first series of the AI/ML playbooks. If you are a startup and interested to be part of this please register below. On final approval, an invite confirmation will be sent via email.

Please submit your nominations here. A registration link will be sent to your nominee.

Dates & Venue for the first of the series:

AI/ML Symposium RT #1 – 10th Mar (Sat) 2p – 5p Done
AI/ML Symposium RT #2 – 21st Apr (Sat) 11a – 2p @ Bangalore TBD
AI/ML Symposium RT #3– 28th Apr (Sat) 10a – 1p @ Chennai TBD
AI/ML Playbook RT – Apr-TBD (Sat) 11a – 5pm @ Bangalore TBD
AI/ML Training Lab w/ Julia – Apr-TBD @ TBD (Bangalore)

While the sessions are in Chennai/Bangalore, we believe this topic is of emergent interest to startups across the country and would invite all to register.

AI Mavens

Ashwin Ramasamy – PipeCandy
Manish Singhal – pi Ventures
Nishith Rastogi – Locus.sh
Shrikanth Jagannathan – PipeCandy

Cost

All iSPIRT roundtables are pro-bono (read below for how that works)

This series of playbooks is being setup by active support from our Mavens & Volunteers – Ankit Singh, Deepak Vinchhi, Karthik KS, Praveen Hari, Ravindra Krishnappa, Sandeep Todi.

P.S. Some great material for pre-reading

I strongly recommend all to go through many of these.

* All iSPIRT playbooks are pro-bono, closed room, founder-level, invite-only sessions. The only thing we require is a strong commitment to attend all sessions completely and to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

* The Julia team is on a social mission to train a large number of people in India to develop grassroot skills and competency with AI & ML.

+Feature image from https://www.flickr.com/photos/gleonhard/34046647175/

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Call for Volunteers: FinTech Leapfrog Council [FTLC]

iSPIRT’s FinTech Leapfrog Council (FTLC) is an initiative designed to help incumbent, government-owned banks make the transition to an era of cashless, presenceless and paperless transactions enabled by India Stack and other emerging technologies.

At iSPIRT, our belief is that banking will change more in the next five years than it has in the last 50 years. For a variety of reasons, the changes happening in India will follow a path that is very different from other countries. Indian Banks, therefore, have two choices: Create a new playbook to deal with these changes, or stick to the old rulebook and risk being disrupted.

Over the last two years, FTLC has been helping SBI, Axis, BOB and IDFC Bank create new playbooks in six orbit shifts that will help banks successfully transform themselves. These six orbit shifts are:

  1. Fee-based Payments to UPI and Payments as a Service
  2. Closed Billing Systems to Bharat Bill Payment System (BBPS) and Billing as a business  
  3. Asset-based lending to (Cash) Flow-Based Lending
  4. Closed Pipe Architectures to Open APIs and Platform Banking
  5. Core Banking Systems to Internet Architecture and Transaction Engines
  6. Data Silos to Consent-based Data Sharing

These FTLC banks have major government shareholding and comprise more than 30 percent of the Indian banking system. Therefore, helping them create these new playbooks is a mission of national importance.

FTLC works with the CEOs and leadership teams of these banks through a series of quarterly workshops and customised workshops in the above-mentioned areas. Some of the industry leaders who spoke at FTLC workshops to facilitate these orbit shifts are:

  • Shamir Karkal, Head of Open APIs at BBVA Bank, Spain, and co-founder of Simple Bank
  • S Ramakrishnan, former Chief Data Officer of Citibank
  • Prof. Saras Sarasvathy of the Darden School of Business
  • Nandan Nilekani, Non-Executive Chairman, Infosys
  • Sharad Sharma, Co-founder of iSPIRT & Ex CEO – Yahoo Inc, R &D. 
  • Sanjay Swamy, Managing Partner of Prime Ventures.

We are looking for an anchor volunteer who can work closely with the FTLC banks to ensure that they are making progress on these orbit shifts, and gradually take my place at FTLC.

For me, being the anchor volunteer for FTLC has been rewarding in many ways. The opportunity to work with other volunteers whose work is reshaping the fundamental nature of banking in India has been very exciting. The opportunity to work with some master strategists who can see the big picture without losing focus on the nitty-gritty details of execution has been awe-inspiring. Seeing young volunteers take on crucial roles and excelling in it has given me great hope for the future of our country. And finally, the fact that iSPIRT’s work is helping India create a world-class digital infrastructure is something that fills my heart with great pride. I had initially signed on as anchor volunteer for FTLC for one year, but the work was so interesting that one year became two before I realised it! We are now looking for a volunteer who can replace me, but start off gradually as a volunteer-in-training.

As you probably know by now, it is difficult to become an iSPIRT volunteer, but easy to cease being one. The arduous process of becoming a volunteer allows each side to feel each other out. We want you to get into volunteering with your eyes open. As part of this counter-intuitive mantra, we let you hibernate without any hesitation. This enables you to make soft promises that you can keep.

If you are interested in being a volunteer for FTLC, contact me at [email protected] or [email protected]