Project Laplace builds agents that live inside your company. Every task they work on, every decision they observe, every problem they help solve — it all compounds into a knowledge graph that belongs to you. When something hard hits — an engineering failure, a market shift, a technical crisis — specialist agents are called in. They arrive already knowing your company. They debate, collaborate, and work autonomously until the problem is resolved. The longer they work with you, the more powerful they become.
A real employee gets better every year they work with you. They understand the institution, the blind spots, the unwritten rules. No current AI can do this. We are building the infrastructure to change that.
Most AI tools forget everything when the session ends. Project Laplace agents do not. They work alongside your team daily, absorbing your processes, your culture, your institutional knowledge. That knowledge becomes the foundation for everything. When a hard problem needs solving, specialist agents deploy that foundation — collaborating, debating, and working autonomously across days until the job is done. No other AI system can do this because no other system has spent months learning who you are.
Our system operates across four layers: a Memory Substrate that never resets, a Reasoning Engine that deliberates continuously, an Agentic Cohort of specialized collaborators, and a Human Interface built on review primitives rather than chat bubbles.
We work in closed cohorts with a small number of research partners. Each cohort runs for a minimum of twelve months. The agents that emerge from that period carry institutional knowledge no prompt can replicate.
Engineer by profession, builder by obsession. I spend most of my time teaching machines to think, designing AI products, and convincing computers to do things they probably shouldn't. Passionate about AI, startups, and building technology that feels a little magical.