Meta AI director Rohit Patel leaves to build Ndoc, a challenge to Office and Workspace

TechCrunch reported exclusively on October 27 that Rohit Patel, a director of AI at Meta, has left the company after eight years. His work there centered on AI evaluations and reinforcement learning, two areas that sit at the engineering core of how large models are trained and aligned.

Patel's next move is his own company. The startup is called Ndoc, and TechCrunch frames its ambition as taking on the Microsoft Office suite, placing it in the same competitive arena as Google Workspace. That puts a new entrant into document, collaboration and productivity software, a category whose hierarchy has been stable for years.

The notable part is not another executive departure but where the expertise is going. Someone who has owned evaluations and reinforcement learning understands how models are measured and optimized; that knowledge has mostly stayed inside labs, and carrying it into office software shifts the contest from whether a model can write to whether its output is reliable and checkable inside a workflow.

Office work is exactly the setting that tests this. Documents need traceable sources, spreadsheets need review, and collaboration needs an audit trail. The report does not disclose Ndoc's product form, launch timing, team size or funding, so what can be confirmed today is only the direction: AI-native office tools aimed at two incumbents that have already embedded assistants deep into their products.

For Microsoft and Google, the threat may not come from a single feature but from the possibility of redesigning the entry point. If drafting, review and routing are rebuilt around AI rather than bolted onto existing menus with an assistant button, the incumbents' moat has to be recalculated.

That is also why talent movement in office software is worth tracking. Model capability gaps are narrowing, and what is genuinely hard to copy is the set of judgment calls that puts capability inside a real process: when to refuse, when to degrade, when to hand the work back to a person.

Three things are worth watching: whether Ndoc ships a publicly available product, whether it starts with a point tool or a full suite, and how it answers enterprise demands for consistency and compliance. Until then, this is a signal about talent and direction rather than a validated product challenge.