Bhavin Turakhia has invested $30 million of his personal funds to launch Neo, an AI-native work platform designed to compete with Microsoft 365 and Google Workspace. Unlike simply integrating AI features into existing office suites, Neo seeks to reconstruct the entire office software stack around generative AI technology, aiming to transform the way companies manage projects, documents, and collaboration.
The platform unites project management, document editing, file storage, and AI-powered assistance in a single application. Turakhia emphasizes that Neo’s architecture is model-agnostic, allowing businesses to switch between different AI providers rather than being locked into one, encouraging flexibility and adaptability in enterprise environments.
Neo has already been tested internally across Turakhia’s other ventures, including Zeta. Its initial commercial focus targets mid-sized companies, particularly knowledge workers in sectors like technology, consulting, and professional services. The company plans an official external launch in August, followed by a public release early next year.
The biggest challenge Neo faces is persuading enterprises to move away from the deeply embedded Microsoft and Google ecosystems. Office software is intertwined with email, calendar, storage, security, and internal workflows, creating significant switching costs. Enterprise customers will expect Neo to demonstrate strong credentials in security, control, and reliability before entrusting core operations to a new platform.
Turakhia views even a modest market share of 2% to 5% as a major achievement, given the dominance of the incumbents. Microsoft recently reported billions in revenue from its productivity segments and tens of millions of Microsoft 365 subscribers, while Google is generating substantial cloud revenue and annual revenues exceeding $400 billion.
Despite the challenge, Turakhia believes generative AI opens a rare opportunity to reimagine office software from the ground up, rather than modifying legacy products. Neo’s success depends on convincing users to adopt a new AI-first workspace instead of layering AI tools onto trusted, existing systems.