The ‘Nokia to iPhone’ Bet: Bhavin Turakhia Puts $30M Into AI-Native Workplace Software
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Rebuilding the Office from Scratch
Bhavin Turakhia is placing a $30 million personal bet that the current era of enterprise software is fundamentally broken. The 46-year-old serial entrepreneur has launched Neo, a new venture predicated on the belief that adding AI chatbots to legacy software is akin to trying to build an iPhone using Nokia parts.
While giants like Microsoft, Google, and Salesforce are aggressively embedding generative AI into existing suites via Copilots and Gemini, Turakhia argues that these incumbents are hindered by their own architecture. According to Turakhia, software designed in the pre-AI era cannot be simply ‘upgraded’ to meet the demands of a generative world; it must be redesigned from the ground up to make AI an active participant rather than a sidecar assistant.
Turakhia, who has previously co-founded companies such as Directi, Radix, Titan, and the banking software firm Zeta, is following his established playbook by bootstrapping the project with his own capital before seeking external investment. This move mirrors a broader trend among high-conviction tech investors, such as Chamath Palihapitiya, who recently self-funded the enterprise AI coding venture 8090 before securing a $135 million funding round.
The Architecture of an AI-Native Platform
Launched internally in April, Neo is positioned as an integrated enterprise work platform. Rather than offering fragmented tools, it consolidates project management, document creation, file storage, and AI intelligence into a single cohesive environment. The goal is to eliminate the ‘toggle tax’—the cognitive load and time lost switching between different apps to perform a single business process.
Crucially, Neo is designed to be model-agnostic. This is a strategic pivot away from the ecosystem lock-in seen with Microsoft (OpenAI) or Google (Gemini). By allowing enterprises to switch between different underlying AI models, Neo provides a layer of flexibility that is particularly attractive to risk-averse firms concerned about model drift, pricing volatility, or the specific strengths of different LLMs for different tasks.
The speed of development itself serves as a proof of concept for the product’s philosophy. Turakhia notes that Neo’s initial platform was built in just three months. By utilizing generative AI extensively during the coding process, the lean team achieved a milestone that Turakhia estimates would have taken over a year and a significantly larger engineering staff in the pre-AI era.
Entering the Enterprise AI Battlefield
The ambition is high, but the competitive landscape is crowded. Neo isn’t just fighting the legacy behemoths; it’s entering a fray with AI-first productivity tools like Notion and Superhuman, as well as the foundational labs like Anthropic and OpenAI, which are increasingly moving up the stack to provide direct-to-consumer and direct-to-business applications.
Despite the odds, Turakhia views the enterprise market as uniquely fragmented, arguing that it is rarely a “winner-take-all” scenario. He suggests that even a modest capture of the global enterprise AI spend would result in a company larger than any of his previous ventures. “Even if we end up with 2% to 5% market share, that’s larger than anything I’ve built so far,” Turakhia stated.
Currently operating out of Bengaluru with a team of 18 engineers, Neo has spent the last several months in internal testing across Turakhia’s portfolio companies, including Zeta. The startup plans to expand its workforce to approximately 45 employees by the end of the year, with a heavy emphasis on AI research and software engineering. The commercial rollout is expected in the coming months, targeting mid-sized businesses and knowledge workers within the consulting, professional services, and technology sectors.
