Summary: Per a July 1, 2026 TechCrunch report, the Indian serial entrepreneur Bhavin Turakhia is staking $30 million of his personal wealth on Neo, an AI-native work platform that takes aim at Microsoft Office and Google Workspace. Drive serves as the file repository, built as a spot where “humans and agents can co-work.” For enterprise buyers, a pair of design choices deserve attention.
Per a July 1, 2026 TechCrunch report, the Indian serial entrepreneur Bhavin Turakhia is staking $30 million of his personal wealth on Neo, an AI-native work platform that takes aim at Microsoft Office and Google Workspace. It counts as his fifth startup, with Directi, Radix, Titan, and the banking software company Zeta behind him, and it sticks to his usual playbook: get the product built with his own money first, and let outside funding wait until the business has shown what it can do.
Where Neo sits is simple to describe: one product holding project management, documents, file storage, and AI together, built from the ground up for the AI era instead of brushing a fresh AI finish over legacy software. The company’s own tagline compresses the ambition: AI as “a first-class participant in work, not a tab beside it.”
The Founder Staking His Own Money
Turakhia, 46, sits among India’s most recognizable serial founders, with a record of committing his own capital before outside money enters the picture. Why start again? His answer is blunt: the shift AI represents is big enough that workplace software deserves a total rewrite. His line to TechCrunch: “If you want to build an iPhone, you can’t take the parts of a Nokia and somehow convert it into an iPhone.”
Market share gets the same unsentimental treatment. Enterprise software, he points out, has never been winner-takes-all. “Even if we end up with 2% to 5% market share, that’s larger than anything I’ve built so far,” he said — a telling remark from someone whose past companies include a banking infrastructure business operating at scale.
Four Products Under the Neo Roof
As it stands, Neo ships as four products. Tasket covers AI-native work management, letting teams mix internal members with free external guests in unlimited numbers — a conscious departure from per-seat pricing conventions. Friday acts as the assistant and agent layer embedded across the other products, reaching email, calendars, CRM, HR systems, applicant tracking, and ERP through upwards of 1,000 integrations. Studio takes care of AI-native documents, spreadsheets, and diagrams, with collaboration spanning teams, projects, and personal spaces. Drive serves as the file repository, built as a spot where “humans and agents can co-work.”
For enterprise buyers, a pair of design choices deserve attention. One: the platform is model-agnostic by design, so organizations can swap the underlying models rather than stay chained to a single vendor. Two: agents live inside the work surface itself, not in a separate chat window, so the AI takes in the task, the file, and the conversation as a single context.
Three Months From Nothing to Launch
Neo switched on internally in April 2026, and the first version of the platform came together in roughly three months, with AI doing a heavy share of the development work. By Turakhia’s own math, the same job would have eaten up more than a year and a considerably larger engineering team in the days before generative AI. His group companies now run on the platform day to day — Zeta included — making them its first customers and its proving ground at once.
Over the coming months, the go-to-market motion begins with mid-sized businesses, with knowledge workers in technology, consulting, and professional services as the first target. The company sits in Bengaluru, employs about 45 people — 18 of them engineers — and aims to be at roughly 100 by year’s end, hiring mainly for AI and software engineering roles.
The Wager and the Opposition
No one would call this fight easy. On the other side sit Microsoft, Google, and Salesforce, the labs Anthropic and OpenAI, and productivity specialists of the Notion and Superhuman stripe. Turakhia’s counter: every one of those incumbents is gluing AI onto software that predates agents, and the gap that leaves is exactly where a fresh architecture fits.
Charging into enterprise AI on self-funded rails has a precedent: Chamath Palihapitiya bankrolled his AI coding startup 8090 on his own before closing a $135 million Series A and taking the CEO seat himself. Neo’s bet shares that spirit while stretching further. The moment AI stops being a plug-in and settles in as a native resident of the work platform, the office suite has to be redrawn — and an architecture designed for that world from day one can, on paper, outrun anything converted from the old one. Can a bootstrapped challenger hold that ground against the biggest software companies on the planet? That part is still an open question.