Entrepreneur & Investor (Z47 @z47_vc, Baazee = @eBay India). Family man. Global citizen. Traveler. Adventurer. Seeker.

Mumbai
Joined March 2008
Avnish Bajaj retweeted
If you are a CIO or CISO, pay attention to what @nikesharora just said: "Deploy a second set of eyes to watch your deployments for drift, compliance and verifiability." Human bandwidth cannot remain the last line of defense for enterprise IT and Security. Hybrid patching and modern SOAR only work if the enterprise IT service management layer underneath can actually coordinate, verify and remediate at AI speed without creating new risk as new grants, approvals, requests and changes are deployed. Most teams simply do not have the capacity to do this consistently. That’s the gap. We need AI Workforce for Enterprise IT and Security.
It's been an eventful week. Multiple vulnerabilites in Internet facing software, coding repositories, examples of agent behavior that seem concerning and a flurry of security specialists with solutions that can partially solve your problem. There in lies the challenge. Given the state of IT and security infrastructure, no one solution works. Let's break it down: 1/3 1. Vulnerabilites are being found and will continue to be found as models get more capable, the fragmented nature of the effort denies us the opportunity for a comprehensive find and replace option. 2. Even if all vulnerabilities could be found instantly and patches available - we will be reliant on the ability of enterprises to deploy all these changes at speed. It is not clear what the collateral impact of all these patches will/could be to our infrastructure of deployed en masse. We will need a hybrid patch approach. 3. Virtual patching(VP) is needed in conjunction with direct patching but for a comprehensive (VP) solve you have to be lucky enough to have "modern frontier defenders" (Cyber companies that have vaulted infrastructure that can create patches at speed and push content rapidly to protect their customers) you need them for your network traffic, your traffic to applications on the cloud, your WAF, your end point. 4. There will continue to be patches that will need to be deployed directly but virtual patching will take the heavy load off. 2/3 Medium term solve: Unfortunately token economics and current cyber architectures will not allow for defender swarms to contend with an offensive attack launched using agents. (Some x pundits who aren't steeped in cyber should take heed). Yes, theoretically we should aspire to have these agentic swarms defend us when we are under attack, unfortunately an attack is a sniper moment, chained vulnerabilities, cloaked attack followed by swift exfiltration. It's a speed program not a brute force problem. To solve for this, enterprises need to get their SOC architecture right, logs, feeds, cyber products orchestrated via a modern SOAR for swift response. Only then can we deploy agents to detect and remediate. In addition, enterprises need to modernize and dare I say platformize their perimeter stack to ensure consistency. Unfortunately, enterprises still seem to not see the urgency across the board, decisions are stuck, CIO/CISO's have a lot on their plate. While some honestly have bit seen the scale of such a problem before and it's hard convincing the organization that one needs to open the floodgates on modernizing the IT and security infrastructure. So we will continue to see environments being brought down to patch today it's for PHP, tomorrow it will be for the next one. 3/3 AI deployments are the"wild wild west" - LLM capabilities are expanding faster than we can build products to secure them. Sure an agent will jump across guardrails in a research lab, which is a lesson for all of us to deploy agents securely. But there is a lag between the discovery, the availability of that in a public model and the time needed for the cyber industry to build governance or an antidote. And no, dear frontier lab friends, the world cannot just trust you to build the solve. The infrastructure industry in tech builds and the cyber industry secured and provides assurance to the boards and organizations around security and safety. AI security is the new attack surface. CEOs (present company included) want AI adoption, getting the pace of adoption wrong could be the last decision we make, at the same time "deploying it wrong" could have the same consequence. There are billions of dollars being spent on coding, is your coding harness secure? Start there. If agents can jump guardrails, they can hide stuff in code. Validate business outcomes needed, test your user case and ensure agentic deployments are well guard railed. Deploy a second set of eyes to watch your deployments for drift, compliance and verifiability.
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Avnish Bajaj retweeted
Despite medicine adding decades to our lives, patients still lose weeks to paperwork. Excited for @confidohealth to reimagine healthcare operations. Congrats @mchetanreddy500 and team!
We've raised $22.5M in total Series A funding for Confido Health, including a new $12.5M extension led by @z47_vc. Medicine has added decades to our lives, yet patients still lose weeks to paperwork. We're building AI agents to give healthcare teams more capacity to care.
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Privileged to be leading Confido Health's Series A. Having known Chetan, Vichar and the team for a while, we were impressed with their 15X growth in a year and their impressive word of mouth and win rates vs competition. Their AI agents (Sara, Ryan) now help 1 in 50 Americans, by providing front office staff to US healthcare, and a great example of labour workforce augmentation. Great to see DeVC, @Together_Fund, Blume Ventures and Justin Saks double down alongside us. @avnish , @RajatAgarwal167 , @rbalaraman, @assh2win, @RTinkslinger
We've raised $22.5M in total Series A funding for Confido Health, including a new $12.5M extension led by @z47_vc. Medicine has added decades to our lives, yet patients still lose weeks to paperwork. We're building AI agents to give healthcare teams more capacity to care.
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My salute to the Indian pilot Captain Smit Machchhar for his extraordinary bravery. Despite being stabbed and seriously injured, he fought back, resisted, opened the cockpit door, and enabled passengers and crew to overpower the attacker — preventing a catastrophic mid-air disaster. He saved the lives of 174 people, including Israeli citizens and other nationals. I wish Captain Machchhar a speedy and full recovery. He is a true hero.
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Avnish Bajaj retweeted
A special moment for @Razorpay today. 🇮🇳 Our CPO @khilanharia presented Vulcan - Razorpay’s foundation model for payments to Hon’ble Prime Minister Shri Narendra Modi today. A proud day for everyone who built it. And we’re just getting started. Built in India. 🇮🇳 A lot more to come! 🔥
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Replying to @VikramV23
@VikramV23 @avnish @RajatAgarwal167 @rbalaraman and I are back in the bay this week and hosting our (now almost annual) summer soirée in the city Looking forward to hosting founder and investor friends on 31st August! 🥂 RSVP: luma.com/6j07znxl
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Refreshing catch up with the OG of Indian Saas - now leading SaaSpocalypse response with AI! Great to see the continued drive and energy @mrgirish @shubg @tarun_davda
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The curse of discipline is that every day looks the same. The curse of indiscipline is that every year does.
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Avnish Bajaj retweeted
There’s something a lot of people have been asking us to do since the day we announced our first products 5 years ago! Taking that decision today. We’re opening our sales and service network to dealer partners across India today. We started with our own stores to build EV awareness, establish the brand and created India’s largest EV 2W customer base of more than 10 lakh! Auto retail has a lot of local nuances and as the industry has matured and EV acceptance has risen, we are now evolving our approach. Now over next few months, we will evolve our company stores to focus on brand and product experience, while dealer partners will become the backbone of local sales, service and scale. We have spent the last month engaging with dealers across the country and the feedback is unambiguous: Ola’s product leadership, combined with their local execution, can significantly accelerate both our sales and EV adoption. Their level of interest and energy to partner has been very exciting for us! For partners, the opportunity is powerful - strong brand pull, a large recurring service opportunity from India’s largest EV 2W installed base, and a portfolio spanning scooters, motorcycles and our energy products like Shakti and other upcoming ones. Our model has been designed for strong dealer economics and returns. Given the level of interest, we expect meaningful on-ground scale in time for the Diwali rush! BVR Subbu, former President of Hyundai India and earlier a member of our Board and someone who is a mentor to me, will rejoin as senior advisor and help our team execute this vision. Learn more here and apply at olaelectric.com/partner-with….
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Avnish Bajaj retweeted
I was a solo founder. My advice to most people starting up is: don’t be one. On the 'Unstarted' show hosted by @avnish of @z47_vc, a budding founder asked us whether he should begin alone or find a co-founder. The average startup has 2.3 founders. That data point already tells you two things: one and four are not the right numbers, and the right number is usually closer to 2 than it is to 3. Why do I still recommend having a co-founder? First, you need complementary skills. Second (and more importantly), you need someone to share the emotional burden. I realised this advice is counterintuitive coming from me, because I was a solo founder. So I added more context: 1. The confidence to go solo only came after 17 years of work as an operator, and living through multiple cycles in consumer internet. 2. I was building in education, a domain where I had real alpha. 3. While I was technically a solo founder, I had an exceptionally strong core team on day one. Sharing a short clip from that conversation. Full episode: youtube.com/watch?v=uZTqp-83…
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Avnish Bajaj retweeted
2/2 Training is like a child working through multiplication tables with a teacher. Inference is the same child solving new problems on its own. More than 90% of training happens in the cloud, and inference is now moving to the device: which is where I pushed him. The cloud gets cheaper every year and connectivity keeps getting faster, so who needs edge? His answer runs on four things: 1. Cost: A chip is a one-time investment, against token caps and a bill on every inference call. 2. Latency: A self-driving car or an assembly line can't wait on a round trip to a data centre. 3. Privacy: Your data stays on your premise. 4. Reliability: The chip keeps working when the network goes down. Cost, latency, privacy, reliability. India won't win the training war, and it doesn't need to. AI has a training half and a running half, and the running half, billions of inferences a day on devices, is the one I think India wins. That's the layer this whole conversation turns on. Full video here: youtu.be/1615Co3t5e4
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Avnish Bajaj retweeted
1/2 Can you build a chip company from India and sell it to one of the largest semiconductor companies in the world? Ravi Annavajjhala has done it. Kinara, built out of Hyderabad, was acquired by NXP Semiconductors for $307M. And that story deserves a victory lap and huge learning for us as an ecosystem! People hear "AI chips" and picture one company in California and a GPU the size of a fridge. But that's the training side building the brain. Ravi spent seven years on the other half, inference at the edge, where the model does its job on the device itself. His company Kinara designed those chips out of Hyderabad, and NXP Semiconductors bought it for $307M. He explained the whole concept wonderfully with one analogy.
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Replying to @_sankyy
@_sankyy (Co-founder & CEO, @invideoOfficial) swears by The Mom Test - and this one rule from it: "The solution is your job. The problem is the customer's job." Sanket believes in hardcore execution - Build more prototypes. Ship them. Let the market react, because your differentiation, positioning, and GTM (YES, even your market size!) all trace back to this. 🎧 Full conversation with Sanket Shah on the Unstarted Podcast by @z47_vc and TEAM - tinyurl.com/y9j66byd @avnish #invideo #aivideotools #aivideo #mumbaitech #mumbaitechcommunity #founderstories
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Avnish Bajaj retweeted
203 BITS alumni from batch of 2000 to 2027 attended tonight's mixer at the DeVC office terrace! 67% turnout is the highest we've had to date - Kudos to the BITS alumni community 🙏 Incredible energy 💪 – at Bengaluru, India
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Avnish Bajaj retweeted
Every company is hiring AI-native engineers to move faster. What they actually need is AI-native leadership. Engineering isn’t the bottleneck anymore, leadership is.
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Avnish Bajaj retweeted
4/4 Z47fortyseven is our attempt to keep score - a live index tracking India's listed, venture-backed companies and the evolution of the country's innovation economy. See the full page here: z47.com/z47-forty-seven
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Avnish Bajaj retweeted
2/4 We believe the next two decades of Indian value creation will be founder-led. Today, India's listed VC-backed companies account for less than 5% of the market. We don't think that stays true for long. That's why we built Z47fortyseven.
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Avnish Bajaj retweeted
1/4 For a while now, people have asked us: Why Z47? Because we believe India's biggest value creation is still ahead of us. Today, VC-backed public companies make up <5% of India's market cap. In the US, that number is 41%. That's the thesis behind Z47. And the reason we built Z47fortyseven.
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