Intelligence is no longer the bottleneck. Coordination is. Enterprises are rapidly deploying AI agents to manage logistics, resolve exceptions, and execute workflows across systems. Yet when those systems disagree, coordination still breaks down—spilling into emails, spreadsheets, and manual judgment.
We founded Summoner to solve the space between systems. While much of the industry focuses on making individual agents smarter, Summoner focuses on coordination itself—enabling agents to discover counterparts, negotiate state, and execute decisions across organizational boundaries in a governed, reusable way.
For autonomous systems to operate at scale, probability isn't enough. Decisions must be executable, inspectable, and enforceable.
To transform isolated AI tools into coordinated agent economies. Summoner treats coordination as first-class infrastructure. We are building the execution substrate where decisions don't just happen—they persist, evolve, and compound. We envision a future where execution is reliable, trust is earned through behavior, and autonomy expands human capacity.
Built by operators, systems researchers, and AI engineers who have shipped trusted infrastructure at scale — MetaMask, Mozilla Firefox, MIT, BNY, and EY. We've scaled products to tens of millions of users and built AI systems for production environments where trust and auditability aren't optional. Summoner exists because agent coordination isn't just a model problem — it's a product, infrastructure, security, and workflow problem.
