coherent
collective intelligence
When emitters fall into phase, they radiate together — and the burst scales as the square of their number. Superradiant builds agents on the same principle: systems that improve one another, then emit far more than the sum of their parts.
Superradiant offers Superradiance, a hosted software platform available as a service for developing, training, and operating artificial intelligence agents; a platform as a service for AI software; and research and development in the field of artificial intelligence. Sign up to build on Superradiance.
Superradiance: develop, train, and operate AI agents
Superradiance is Superradiant's software as a service for the whole life of an agent — from the first scaffold to a fleet running in production. It is offered as a hosted platform: nothing to install, one workspace, every run recorded.
- Develop. Agent scaffolding, a versioned prompt system, a run-directory format, and a trajectory model that captures every prompt, context, score, and execution log.
- Train. Self-improvement loops on hosted compute: a meta-agent writes and revises a target-agent, the target-agent runs the task, an evaluator reads the trajectory and proposes the next generation. Each generation makes the next one better.
- Operate. A sandboxed runtime with capability allow-lists and an explicit threat model, benchmarks and parity checks on every release, and observability into what your agents are doing — because their output is itself executable code.
research and development in artificial intelligence
Superradiant is also a research lab. We study self-improving systems: how a population of agents can improve one another, how to capture the signal that drives that loop, and how to keep the result faithful, auditable, and safe to run.
That research ships in Superradiance. The platform is where the lab's methods for building, training, and operating agents are put to work: every run recorded, every result auditable, and every agent kept within explicit limits.
- LabSpine.ai. Before Superradiance there was LabSpine, a lab-automation agent launched at the AGI House × Google DeepMind event on May 30, 2026. From a plain-language assay description it designs a heterogeneous workcell, compiles a real Opentrons protocol, validates it against the Opentrons simulator, repairs its own errors, and traces each sample across robots, LIMS, and bioinformatics to find where a run broke. Its core is open source on GitHub at github.com/micahstubbs/labspine; Superradiant provides the hosted solution built around it.
open research on self-improving systems
We work in the open: a faithful, auditable core; honest engineering seams instead of overclaimed results; every not-yet-evaluated component marked as future work. The lab is small and the surface is large.
Work with ussign up for Superradiance
Create your account to get access to Superradiance — Superradiant's software as a service for developing, training, and operating artificial intelligence agents. We will email you a link to confirm your account; your workspace is set up from there.
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