For heads of platform · AI engineers
Your platform was built for humans. The agents arrived anyway.
Isochronic gives platform teams the primitives they would have built themselves, if they had a quarter to spare — identity for agents, versioning for skills, evals that travel with the work.
The day-to-day
You already know where it hurts.
No inventory of agents in prod.
Service accounts, agent identities, and ad-hoc API keys accumulate in places your IAM tooling was never built to see. By the time someone asks the obvious question, the answer is a Slack search.
Policy enforcement is bespoke per workflow.
Every team writes its own guardrails. The good ones get copied; the rest decay. There is no shared surface for saying what an agent can and cannot do across the org.
Skills and prompts scattered across providers.
Your best context lives in a Claude project, an OpenAI assistant, a Notion doc, and three private GitHub gists. Versioning is whoever edited last.
Model swaps break workflows silently.
A vendor ships a new default and an agent starts behaving subtly differently in production. Nothing fails loudly enough to catch in CI.
What we’re building
A neutral place for the work agents do on your behalf.
We are model-agnostic on purpose. The bet is that your organisation will run agents on Claude, GPT, open-weights, and whatever ships next — and that your skills, evals, and approvals should not live inside any of them. The primitives are deliberately small: an identity for every agent, a versioned home for every skill, evals that run on the way in and on the way out.
Working with us
We are looking for a small number of design partners.
We work alongside your platform team — not over the wall. The first engagement is short, scoped, and ends with you owning a real inventory of the agents and skills running in your stack, whether or not you keep using us afterwards. If you have agents in production and feel the gap, we should talk.