MCP, Agents & the $40M Bet on Multiplayer AI
About this episode
Stanislas Polu discusses the enterprise AI agent platform Dust and its implications for the future of work.
Stanislas Polu is Co-Founder & CTO of Dust — the enterprise AI agent platform used by 51,000 workers at 3,000+ companies. Before Dust, he spent three years on OpenAI's research team under Ilya Sutskever, working on mathematical reasoning in language models, and prior to that was an engineer at Stripe. He brings a rare combination of frontier AI research and product-building experience to the enterprise agent space. MCP, Agents & the $40M Bet on Multiplayer AI // MLOps Podcast #384 with Stanislas Polu, Co-Founder & CTO of Dust 🤖 What is Dust? — How Dust enables teams to build and deploy AI agents powered by internal company data, and why the "multiplayer AI" model is winning in enterprise. 🧠 From OpenAI Research to Startup Founder — Stanislas's journey from studying mathematical reasoning in LLMs under Ilya Sutskever to co-founding an enterprise AI company in Paris with Gabriel Hubert. 🔗 MCP & Standardization — Why the Model Context Protocol matters, what's trivial vs. what's transformative about MCP, and how Dust integrates MCP-compatible servers for enterprise workflows. 🚀 The $40M Series B — What Dust is building with fresh funding, the bet on…
Topics covered
- AI agents
- enterprise AI
- multiplayer AI
- Model Context Protocol
- human-agent collaboration
- funding in AI startups
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