Bhavin Turakhia Launches Neo With $30 Million Bet on AI-First Work Software
Updated
Updated · TechCrunch · Jul 2
Bhavin Turakhia Launches Neo With $30 Million Bet on AI-First Work Software
1 articles · Updated · TechCrunch · Jul 2
Summary
$30 million of Bhavin Turakhia’s own money is funding Neo, a Bengaluru-based enterprise platform that combines project management, documents, file storage and AI in one product.
Neo was built on the view that pre-AI workplace software cannot be retrofitted with chatbots; Turakhia says enterprises need systems redesigned from scratch and able to switch between AI models.
April marked Neo’s internal launch across Turakhia’s companies, including Zeta, and the startup plans to start selling to mid-sized technology, consulting and professional-services firms in coming months.
45 people currently work at Neo, including 18 engineers; Turakhia expects headcount to reach about 100 by year-end after building the initial platform in three months with heavy AI-assisted development.
The launch lands in a crowded enterprise AI race dominated by Microsoft, Google and Salesforce, but Turakhia argues even 2% to 5% of global spending could build his biggest company yet.
How did one startup use AI to build an entire enterprise platform in just three months?
Can a bootstrapped AI startup outmaneuver tech giants by rebuilding workplace software from scratch?
Is completely redesigning software for AI the future, or can existing platforms simply evolve to compete?
Neo’s $30M AI-Native Work Platform: Bhavin Turakhia’s Bid for 2–5% of Global Enterprise AI Spend
Overview
Neo is an AI-native enterprise work platform launched by Bhavin Turakhia, who invested $30 million of his own funds. The platform aims to revolutionize how organizations manage information by centralizing knowledge and context, allowing AI agents to operate efficiently without needing multiple software integrations. Neo’s core philosophy is to make AI an active participant in collaborative work, not just a tool. This design lets humans interact directly with AI agents alongside their work, streamlining workflows and boosting productivity. By unifying collaboration and AI-driven execution, Neo addresses the productivity gaps found in fragmented enterprise systems.