344
Productivity & Workflow355
Automation & Workflow225
Software Development251
Marketing & Growth193
AI Infrastructure & MLOps176
Writing & Content Creation204
Photography & Imaging156
Data & Analytics142
Design & Creative170
Customer Support133
Sales & Outreach125
Education & Learning131
Voice & Speech135
Operations & Admin87
Rohit Patel is leaving Meta after eight years to build Ndoc, a new AI-first workspace meant to replace parts of Microsoft Office and Google Workspace.
In short: Rohit Patel is leaving Meta and has started Ndoc, a new work app that aims to be an AI-first alternative to Microsoft Office and Google Workspace.
TechCrunch reports that Rohit Patel, a former director at Meta Superintelligence Labs, has left Meta after eight years. He worked on AI evaluations and reinforcement learning, which is a way to train AI using trial and error, like practicing a task and learning from mistakes.
Patel has launched a startup called Ndoc. He is pitching it as a replacement for the mix of tools many teams use today, like Word, Excel, PowerPoint, and separate AI chat tools where people copy and paste answers back into documents.
Ndoc groups work into three parts. “Stage” is for outputs people present, like slide decks, dashboards, or small apps. “Narrative” is for written explanations with citations and charts. “Model” is for the underlying data and Python code, which is a programming language often used for data work.
A key idea is that users can check how the AI got its results. For example, someone could ask the AI to explain a script and point to the line that contains a formula.
Patel says Ndoc is running an enterprise pilot and offering a limited alpha via a wait list. Sign-up is free, but customers will pay based on usage. He hopes to release a beta in the coming weeks, with a full launch planned for next year.
Many companies already rely on Office and Google Workspace for everyday work. If Ndoc can combine writing, spreadsheets, presentations, and AI in one place, it could reduce the back and forth that wastes time, and it could make AI-made work easier to double-check before people use it for decisions.
Source: TechCrunch AI