Supremum

Your agent topology is a design decision you never made.

We treat multi-agent architecture as a search problem. Evolutionary discovery finds what intuition can't.

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Every multi-agent framework ships a default topology. Flat hierarchy. Broadcast communication. Consensus assembly.

That default is silently determining your output quality, your token spend, and your failure modes. Most teams never test it — because until now, there was no way to.

We built an engine that searches the space of organizational architectures.

Not prompt tuning. Not model selection. The structural layer underneath both — how agents coordinate, what information flows where, how decisions get made, who does what. The architecture itself.

We don't just find better structures. We tell you which decisions are load-bearing and which are decorative.

Causal ablation on every architectural choice. Multi-perspective evaluation that eliminates single-model bias. Statistical validation, not vibes.

Backed by a pre-registered experimental protocol

Organizational Architecture Search: Evolutionary Discovery of Optimal Multi-Agent Team Structures

Robinson & Magnus, 2026. 5 falsifiable claims. 15 tasks. 63 runs. Explicit refutation conditions.

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Private Beta — San Francisco, 2026

We're looking for teams deploying multi-agent systems in production.

If you're making topology decisions by intuition and wondering what you're leaving on the table — we should talk.

contact@supremum.io