Bhavin Turakhia is putting $30 million of his own money into Neo, a new enterprise work platform pitched as an AI-native alternative to Microsoft Office, Google Workspace, and Notion. The 46-year-old founder of Directi, Radix, Titan, and banking software firm Zeta launched Neo internally in April 2026 and plans to begin rolling it out to mid-sized businesses in the coming months. The bet: workplace software designed before generative AI cannot be salvaged by bolting a chatbot onto it.
Neo bundles project management, documents, file storage, and AI into a single product, and is model-agnostic, letting enterprises swap between providers rather than lock into one. The platform has been running inside Turakhia's own companies, including Zeta, for the past few months. The Bengaluru-based startup currently has 45 employees, 18 of them engineers, and expects to reach roughly 100 by the end of the year, with most new hires focused on AI and software engineering.
Turakhia has spent two decades self-funding his companies before bringing in outside capital, and he is doing the same with Neo. His argument for going it alone is that the shift to AI is large enough to justify rebuilding the category from scratch — which requires patience that venture timelines rarely accommodate.
Key facts
- 01Bhavin Turakhia is bootstrapping Neo with $30M of his own capital, extending a two-decade pattern of self-funding companies including Directi, Radix, Titan, and Zeta.
- 02Neo launched internally in April 2026 as a single platform combining project management, documents, file storage, and AI, and is model-agnostic across providers.
- 03The Bengaluru-based startup has 45 employees including 18 engineers, and plans to reach roughly 100 by year-end with most hires in AI and engineering.
- 04Turakhia says Neo's initial platform was built in three months using AI heavily in development — work he estimates would have taken over a year pre-generative AI.
- 05He is targeting 2% to 5% of the global enterprise AI market, a slice he says would exceed the scale of any company he has built before.
The competitive picture is crowded. Microsoft, Google, and Salesforce are embedding AI across their existing workplace suites. Anthropic and OpenAI are pushing agents into enterprise workflows, while Notion and Superhuman are rewriting productivity software around AI features. Turakhia's counter is structural: incumbents are grafting AI onto products designed for a pre-AI world, while Neo starts with AI as the substrate.
The speed argument is central to his pitch. Turakhia says Neo's initial platform was built in three months, with AI used extensively throughout development — work he estimates would have taken more than a year with a much larger engineering team before generative AI. That compression is why he thinks a bootstrapped effort can credibly enter a market dominated by trillion-dollar incumbents.
He is also not alone in self-funding an AI enterprise bet before opening the doors to institutional money. Chamath Palihapitiya launched enterprise AI coding venture 8090 with his own capital before raising a $135 million round this week. The pattern — personal capital first, then a large priced round once the product is real — is becoming a recognizable playbook for operators with the balance sheet to run it.
The initial go-to-market targets knowledge workers at technology, consulting, and professional services firms. That is a deliberately narrow beachhead: mid-sized companies where a single unified platform can displace a stack of point tools, rather than trying to unseat Microsoft inside the Fortune 500 on day one.
The obstacles are real. Distribution in enterprise software is decided by procurement relationships, integrations, and switching costs, not just product quality — and Microsoft and Google have both. Model-agnosticism cuts both ways: it protects buyers from lock-in but also means Neo cannot differentiate on a proprietary model of its own. And the productivity category has a long graveyard of well-designed challengers that never crossed the chasm from early-adopter teams to standard-issue corporate software.
Turakhia's framing is that enterprise software has never been winner-takes-all, and the numbers back him up — even a small share of global enterprise AI spending would build a very large company. Whether Neo is the vehicle that captures it depends less on the product demo and more on whether mid-sized IT buyers are willing to consolidate around a platform from a founder they mostly know from adjacent industries.
The broader signal is that the enterprise AI market is entering a phase where deep-pocketed operators are willing to spend eight figures of personal capital before touching venture money. That changes the competitive dynamic for AI-native productivity startups still stuck raising traditional seed and Series A rounds — the ceiling on what a single founder can self-fund into existence has moved, and the incumbents' window to embed AI into legacy suites before a from-scratch competitor arrives is closing faster than the retrofit roadmap suggests.
Working on something we should cover, or seeing a story we missed? Send leads, documents, or feedback to hello@aichatdaily.com. For sensitive tips, see our secure tips page for Signal and PGP options.
Spotted an error? Email hello@aichatdaily.com with the URL and the issue, or read our full corrections policy.
