Named after the physics Adinkra — graphical structures that encode the hidden symmetries of reality. We build systems that expose the hidden structure in how AI agents operate: cost dynamics, failure modes, orchestration patterns. Six systems under development. Twenty-one published briefings. Open infrastructure.
Each system addresses a structural gap in how autonomous AI agents are built, governed, and deployed. We publish the research. We open-source the infrastructure.
Long-form briefings on industry dynamics, infrastructure bets, and what we're learning from building.
Long-form thinking, built to be shown. Full-bleed slide decks and visual artifacts from work in flight — the case as we make it to reviewers, funders, and partners.
In theoretical physics, Adinkra are graphical representations introduced by Sylvester James Gates that encode supersymmetric algebra — the mathematical relationships between fundamental particles. They reveal hidden structure in the equations of reality. Gates called them "symbols of power." We build systems that expose the hidden structure in how AI agents operate — the cost dynamics, failure modes, and orchestration patterns that determine whether autonomous systems succeed or collapse.
We're looking for people building in agent governance, model routing, edge inference, and compliance automation. If you're working on something that overlaps — or want to integrate with any of our systems — reach out.
We respond to every serious inquiry. Tell us what you're building and where the overlap is.
alex@adinkralabs.com →