Bhavin Turakhia has a simple analogy for the current state of enterprise software: you cannot turn a Nokia into an iPhone by simply swapping out the battery.

Turakhia, the 46-year-old Indian serial entrepreneur behind firms like Zeta and Directi, is betting $30 million of his own capital that the world’s office software is fundamentally broken. His new venture, Neo, is an attempt to build a workplace platform from the ground up, specifically for the age of generative AI. He isn't just adding a chatbot to a document editor. He is rethinking the document editor itself.

The Problem With 'Bolt-On' AI

Most enterprise incumbents are currently retrofitting AI into legacy architectures. Microsoft, Google, and Salesforce are all embedding generative features into products designed decades ago. Turakhia argues this is a structural trap. If the underlying data structure wasn't built to be queried or manipulated by an LLM, the AI will always feel like an external add-on rather than a core engine.

Neo aims to integrate project management, file storage, and document creation into a single, AI-native environment. By making the AI an active participant in the workflow—rather than a sidecar—Turakhia believes he can capture a slice of the market that legacy giants are currently missing. It’s a bold claim. It’s also a massive gamble.

A Model-Agnostic Approach

One of Neo’s primary differentiators is its model-agnostic architecture. While Microsoft is tethered to OpenAI and Google to its own Gemini suite, Neo allows enterprises to swap between different AI models. This flexibility is a direct response to the rapid pace of innovation in the LLM space. If a better model emerges tomorrow, Neo’s users won't be locked into a single provider’s ecosystem.

Turakhia is no stranger to self-funding. He has historically bootstrapped his ventures before seeking outside capital, maintaining control while proving the product-market fit. His track record includes building successful companies in banking software and domain registration. This time, however, the competition is fiercer. He is entering a market where every major tech player is already fighting for dominance.

What This Means for Knowledge Workers

For the average professional, the shift toward AI-native software could mean the end of context switching. Instead of moving between a project management tool, a chat app, and a word processor, Neo envisions a unified workspace where the AI handles the heavy lifting of data synthesis across all three.

Turakhia claims the initial platform was built in just three months. He credits this speed to the very technology he is selling—using AI to write and test code. With a current team of 45, he plans to scale to 100 employees by year-end. The focus is clear: engineering and AI development.

Key Takeaways

  • Built from scratch: Neo is an AI-native platform, rejecting the "bolt-on" approach used by legacy office software providers.
  • Model-agnostic: The platform allows enterprises to switch between different AI models, avoiding vendor lock-in.
  • Market strategy: Turakhia is targeting a 2% to 5% market share, which he believes would result in a company larger than any he has built to date.

The Road Ahead

Turakhia is currently rolling out Neo to mid-sized firms in the consulting and technology sectors. The real test begins now. Can a startup, even one backed by $30 million, convince enterprises to abandon the entrenched ecosystems of Microsoft and Google?

He doesn't need to win the whole market. He just needs to prove that his version of the "iPhone" is better than the modified "Nokia" everyone else is using. The next six months will determine if that bet pays off.