Rohit Patel’s Bold Move: Reinventing Workplace Productivity with AI
After an impactful eight-year tenure at Meta developing advanced AI technologies, Rohit Patel is stepping down from his role as director at Meta Superintelligence Labs. According to an exclusive report by TechCrunch, Patel has launched a promising startup named Ndoc, which aims to revolutionize the way businesses interact with productivity software. Positioned as an AI-native alternative to the established Microsoft Office Suite and Google Workspace, Ndoc offers a unified platform that seeks to simplify and enhance enterprise workflows.
Patel’s departure comes amid a wave of high-profile exits from Meta, including Chief Global Affairs Officer Joel Kaplan, AI researcher Andrew Tulloch, and Head of Product for AI-for-Work Emily Dalton Smith. Patel’s exit reflects a broader trend of AI talent moving toward entrepreneurial ventures focused on transformative workplace solutions.
A Unified Workspace Designed for Modern Enterprise Needs
Ndoc is more than just another AI tool integrated into existing office suites; it is designed to replace the fragmented approach currently seen across tools like Excel, Word, PowerPoint, Tableau, Replit, and the common “ChatGPT copy-paste” method. Patel’s vision centers around creating a single workspace accessible to all collaborators, regardless of whether they have an Ndoc account, fostering seamless teamwork and transparency.
The platform organizes work into three core components: the Stage tab, which houses presentations, dashboards, simulations, and mini-apps; the Narrative tab, which contains detailed analyses, numbered citations, and generated figures explaining the data; and the Model tab, dedicated to underlying datasets and Python scripts. This structure reflects Patel’s deep expertise in reinforcement learning and his commitment to trustworthy AI outputs.
“Even if you don’t know any Python, you can ask [the AI chat] to explain, ‘Hey, what does this script do? Which line has my formula?’ And you can verify that formula,” Patel explained. “There’s nothing hidden behind the curtain here.” This emphasis on transparency addresses a significant challenge in AI adoption: ensuring users can audit and trust the AI-generated content that influences critical business decisions.
Leveraging Open Source and Cost Efficiency
Unlike some AI platforms built on costly frontier models, Ndoc is fine-tuned using a blend of open-source AI models. This approach reduces operational expenses substantially while maintaining high performance. While Patel initially believed cost savings would excite his early adopters, he found that users were more enthusiastic about having all aspects of their workflow consolidated in one place.
Moreover, Patel’s ambition extends to reinventing the traditional document format. Ndoc documents can be exported as a single “.ndoc.html” file, which can be opened in any web browser. He plans to open source this format to empower developers to build interoperable apps without locking users into proprietary ecosystems, challenging the long-standing dominance of Microsoft and Google.
This commitment to open source was a key factor in Patel’s decision to leave Meta. He noted that at a large corporation, reaching consensus on an open format would be slowed by numerous stakeholders. “Humans can only move at human pace, whereas…I can move at the pace of what AI can do,” Patel remarked, underscoring the agility startups have in innovating rapidly.
Competing in a Crowded AI Enterprise Space
Ndoc faces stiff competition from AI initiatives by industry giants such as OpenAI, Anthropic, Meta, SpaceXAI, and Google. These companies have integrated AI capabilities directly into existing productivity suites, aiming to enhance tools like Google Docs, Microsoft 365, and others. Notably, OpenAI recently launched Space, a shared workspace within ChatGPT that closely rivals traditional office apps.
Patel recognizes the challenge but critiques the current approach: “Companies are basically attaching AI to spreadsheets and it fills your cells for you. It just sort of kills my soul. This is like if you just figured out electricity, and then you decided the best use case is to put lights on my bulls that till my soil. No. Get a tractor.” His metaphor emphasizes the need for fundamentally rethinking workflows rather than merely automating existing tasks.
Understanding the difficulty of changing entrenched workplace habits, Patel built connectors that allow Ndoc users to import data from tools they already rely on. His personal standards for the product are high: “I’m not going to release anything I don’t love using. I have very optimized AI workflows for everything I do. If I start using this tool, and I keep going back to my workflows, I haven’t built a good enough tool…I have a graveyard of tools that did not meet that bar.”
Looking Ahead: Growth and Execution
Patel has adopted a measured approach to funding, choosing to validate product-market fit before seeking investment. Currently, Ndoc is conducting an enterprise pilot and offering an alpha version to a limited user base through a waitlist. While signing up is free, customers will eventually pay based on usage and token consumption. A beta release is expected in the coming weeks, with a full launch planned for 2027.
For Patel, rapid execution outweighs waiting for perfection. “Execution is extremely cheap…so go execute on a suboptimal plan and worry about it later,” he said. “By the time you make the best plan, the execution will be done by somebody else.” This philosophy aligns with Silicon Valley’s embrace of iterative development and agile startups driving innovation in AI-powered productivity.
Rohit Patel’s journey from Meta to founding Ndoc illustrates the ongoing evolution of AI in the workplace. With a clear focus on transparency, seamless collaboration, and open standards, Ndoc could become a significant player in redefining how enterprises manage knowledge and decision-making.
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