Serial Indian entrepreneur Bhavin Turakhia is investing $30 million of his own capital to build Neo, an enterprise AI platform that aims to replace traditional workplace software with an AI-native system combining project management, document collaboration, and file storage.

  • Neo is designed from ground up to embed AI across workplace tasks.
  • Turakhia is personally bootstrapping $30 million for initial development.
  • Neo targets knowledge workers in tech, consulting, and professional services.

What happened

Bhavin Turakhia, a prominent Indian serial entrepreneur, has announced a $30 million investment from his personal funds to develop Neo, a new enterprise software platform incorporating AI throughout its architecture. The platform integrates project management, document handling, file storage, and AI capabilities in a unified product.

Neo launched for internal use within Turakhia’s companies in April 2026, serving as a testing ground before its planned public release to mid-sized businesses. The initiative stems from Turakhia’s conviction that existing enterprise productivity suites like Microsoft Office and Google Apps were never designed for AI and thus require complete redevelopment to leverage generative AI effectively.

Why it matters

Neo embodies a strategic bet on AI's transformative potential to reshape enterprise software, emphasizing a model-agnostic AI infrastructure allowing customers to switch between different AI services. This is significant as industry giants like Microsoft, Google, and Salesforce embed AI into their established products, intensifying competition in the enterprise AI market.

Turakhia’s approach is grounded in experience, having founded several technology companies over two decades. His confidence that even a small share of the global AI enterprise market could surpass any of his past ventures highlights the untapped opportunities in evolving workplace productivity beyond legacy platforms.

What to watch next

Neo is currently staffed with about 45 employees, including 18 engineers, with plans to expand headcount to approximately 100 by year-end, focusing primarily on AI and software development talent. The company aims to begin customer onboarding shortly, targeting sectors reliant on knowledge workers such as technology, consulting, and professional services.

Observers should monitor Neo’s market reception as it competes against entrenched incumbents and emerging AI-first startups. How well Neo’s AI-native design translates into productivity gains and operational efficiency will be key in determining its ability to capture market share in the increasingly competitive enterprise AI software landscape.

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