Serial Founder Bhavin Turakhia Self-Funds $30M Bet to Rebuild Workplace Software Around AI

Bhavin Turakhia has put $30 million of his own money behind Neo, a Bengaluru-based platform that folds project management, document editing, file storage, and AI assistance into a single workspace. No outside investors, no funding round announcement, just a founder who has done this before deciding to bankroll the bet himself.

Turakhia is not a newcomer chasing a trend. He previously built Directi, Radix, Titan, and Zeta, the last of which is a banking software company that now serves as one of Neo's internal proving grounds. That track record matters here because Neo's core wager is unusually structural: rather than bolting a chatbot onto existing enterprise tools, the platform is built from the ground up to treat AI as a native layer across everything from documents to task tracking, not an add-on feature.

A Ground-Up Redesign, Not a Plug-In

Most enterprise software today retrofits generative AI into legacy workflows, an assistant panel here, a summarization button there. Neo's pitch is the opposite: redesign the workplace stack itself so that project management, storage, and documents all sit inside one environment where AI has context across the whole system, not just a single app.

One deliberate design choice stands out. Neo is model-agnostic, meaning enterprises using it aren't locked into a single AI provider. As the underlying model landscape keeps shifting between OpenAI, Anthropic, Google, and others, that flexibility could matter a lot to large organizations wary of betting their entire workflow on one vendor's roadmap.

Built Internally Before Going External

Neo didn't launch cold. It went live internally in April, and it has already been running across Turakhia's portfolio of companies, including Zeta, before being positioned for the broader market. That internal dogfooding period gives the platform a real-world testing ground that many startups skip in their rush to ship.

The company currently employs about 45 people and expects to nearly double that to roughly 100 by the end of the year, a signal that Turakhia is scaling deliberately rather than pausing to raise capital first. The next phase of growth targets mid-sized businesses in technology, consulting, and professional services, sectors where document-heavy, project-driven work makes an all-in-one AI workspace a natural fit.

Self-funding at this scale is notable in a market where enterprise AI startups routinely raise tens or hundreds of millions from venture backers before proving out a product. Turakhia's approach flips that sequence: build, test internally across a real portfolio of companies, then expand commercially, all without diluting ownership or answering to outside investors in the early stages. Whether that patience translates into traction against well-capitalized rivals building similar "AI-native workspace" pitches will be the real test as Neo moves beyond its founder's own companies.