Neo: Bhavin Turakhia's $30M AI-Native Alternative to Microsoft Office — Built in Just 3 Months

The Pitch: You Can't Turn a Nokia Into an iPhone

On July 1, 2026, Indian serial entrepreneur Bhavin Turakhia unveiled Neo, a new enterprise work platform he's backing with $30 million of his own money. The premise is simple but pointed: workplace software designed before the AI era can't be saved by bolting on a chatbot — it has to be rebuilt from the ground up.

His analogy is blunt:

"If you want to build an iPhone, you can't take the parts of a Nokia and somehow convert it into an iPhone."

It's a direct shot at Microsoft, Google, and Salesforce, all of which are racing to stitch AI into suites that were architected decades before generative models existed. Turakhia's bet is that an AI-native foundation — where AI is an active participant in daily work rather than a sidebar assistant — will let a newcomer steal meaningful share from incumbents who are structurally disadvantaged by their legacy code.

Who Is Bhavin Turakhia?

At 46, Turakhia is one of India's most experienced enterprise-software founders. Over the past two decades he has co-founded Directi, Radix, Titan, and Zeta (the banking-software company that has become his best-known venture). His signature move is bootstrapping ambitious companies with his own cash and only bringing in outside investors later — and Neo is no exception.

That track record matters here. Launching an Office competitor is capital-intensive, and Turakhia funding the first $30 million himself signals conviction and patience. It also puts Neo in growing company: the same week, investor Chamath Palihapitiya's self-funded enterprise AI coding venture, 8090, raised a $135 million round. Self-funded, AI-native upstarts are having a moment.

What Neo Actually Is

Neo is a single enterprise platform that folds together four capabilities that most teams currently spread across separate apps:

• Project management — tasks, plans, and workflows in one place.
• Documents — collaborative authoring designed around AI from the start.
• File storage — a shared workspace for everything a team produces.
• AI — embedded as a first-class participant that acts on your work, not a chat box you visit separately.

Two design choices stand out for anyone evaluating AI tools. First, Neo is explicitly model-agnostic: enterprises can swap between underlying AI models rather than being locked into a single vendor. In a year when model pricing and quality are shifting every few months, that's a meaningful hedge against lock-in. Second, AI is positioned as something that does work inside your documents and projects, not just something that suggests text — the difference between an assistant and a teammate.

Built in 3 Months — With AI Doing the Heavy Lifting

The speed of Neo's creation is itself the headline. Turakhia told TechCrunch that the initial platform was built in roughly 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 the generative-AI era.

That detail doubles as both a credibility signal and a product demo: if AI-assisted development can compress a year of work into a quarter for Neo's own ~18 engineers, the same leverage is presumably baked into what customers get. The Bengaluru-based company currently employs about 45 people (including 18 engineers) and expects to grow to around 100 by year-end, with most new hires focused on AI and software engineering.

Neo has been dogfooded for months across Turakhia's existing companies, including Zeta, and is now preparing to roll out to mid-sized businesses — initially targeting knowledge workers in technology, consulting, and professional services.

The Competitive Landscape

Neo enters what may be the most crowded category in technology. The incumbents — Microsoft 365 Copilot, Google Workspace's Gemini features, and Salesforce — are embedding AI across mature, deeply integrated suites with billions of users. A second wave of AI-native productivity startups — Notion, Superhuman, and the labs like Anthropic and OpenAI themselves — are racing to redefine how daily knowledge work gets done.

Turakhia's counter-argument is that enterprise software has never been winner-takes-all. Even a modest slice of global enterprise AI spending is an enormous business:

"Even if we end up with 2% to 5% market share, that's larger than anything I've built so far."

The table below captures where Neo sits in the field:

What This Means for the AI Tools You Pick

Whether or not Neo becomes a category leader, its launch signals where the AI productivity market is heading. If you evaluate or buy AI tools, here's the practical takeaway:

The broader signal is unmistakable: the productivity category is bifurcating between "old software with AI added" and "new software designed around AI." Neo is one of the best-funded bets on the latter — and for anyone choosing AI tools in 2026, it's a name worth tracking.

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