Autonomy isn't bought.
It's earned, one proven step at a time.
We build the harness that makes an agent reliable, and the evidence that it's ready to run without a human watching it.
Autonomy isn't bought, it's earned, one proven step at a time. Everything starts from the same place, the harness, and we get there pragmatically, in stages, not in one leap.
Wherever you're starting from, an early prototype or nothing built yet, that's the normal starting point, not a deficiency.
Dark software factory
We configure a coding assistant properly: skills, hooks, MCPs, so the agent is genuinely useful in a real codebase. From there we add automations across CI/CD, and only once that's proven does the line run unattended.
- Agentic engineering
Skills, hooks and MCPs configured around the coding assistant you already use, tuned to your codebase, conventions and review standards. Evals prove the setup holds up on real tickets before anything moves further.
- Agentic SDLC
The proven setup is wired into CI/CD: branching, testing, review and deployment steps the agent can trigger and respond to, not just code it writes in isolation. Coverage grows ticket type by ticket type, each one gated on its own eval.
- Dark software factory
Once enough of the pipeline is proven end to end, the line runs unattended: agents pick up tickets, ship code and escalate only what needs a human. Growth from here means widening what the factory is trusted to touch, not changing how it works.
Company OS
We start from specific use cases a human currently handles. We build the harness around each, prove it with evals, and grow coverage until proven agents share context and run continuously within guardrails.
- Use cases
We pick one concrete piece of work a person does today, a support queue, a finance reconciliation, a sales workflow, and build a harness around it: context, tools and a verification loop specific to that job.
- Harness + evals
Each use case is measured against a benchmark built on your own tasks before it's trusted with real work. As more use cases pass, they start sharing context and tooling instead of running in isolation.
- Company OS
Proven agents operate continuously within guardrails on a propose-then-approve basis, a human signs off on anything with real risk or cost. Growth means adding proven use cases, not loosening the guardrails.
Companies, direct
We embed, we build the harness, eval and graduation path for your own operation, and hand over something you can run and extend without us. No retainer required to keep it working.
Agencies, as a technical partner
Co-branded, where we're named alongside you, or anonymous, entirely behind your name. Either way, you keep the client relationship; we build and stand behind the engineering underneath it.
We're framework agnostic, the harness is built around what a client already runs. In practice, we reach for these often.