Production AI · Agentic systems · Edge assistants
Production AI you can audit
Cosinara builds agentic systems and edge assistants that verify their own work, ask before they act, and leave a record of everything they did.
Built for the moment AI is trusted with real work
Every Cosinara system is designed around the same three questions: was it checked, who approved it, and can we show what happened?
Verified, not trusted
Agent output is treated as a claim to check. Our systems run their own tests, policies and solvers instead of taking the model's word for it.
Humans approve
Anything that changes code, data or machines waits for an explicit, recorded approval from the right person — with deadlines.
Every action on the record
Decisions are logged with the rule that allowed them and the evidence behind them, so you can replay and explain what happened.
Runs where you need it
Self-hosted control planes, on-site hubs and on-device assistants. Bring your own model provider; keep your data where it belongs.
Products
Three platforms, one governance model — from codebases to knowledge to machines.
Agent control plane
Orbit Harness
Put AI coding agents to work on real codebases — without handing over the keys.
Learn moreEdge assistant platform
Cosinara Operator
Talk to your machines. Nothing moves without approval.
Learn moreVerified knowledge kernels
Hornbeam
Knowledge your agents can stand on — every answer cites checked evidence.
Learn moreEngineering you can inspect
- 13,000+automated tests across our platforms
- Lean 4formal proofs of safety rules in our work
- Any modelbring your own provider — no lock-in
- Self-hostedby default — your data stays with you
Services
We help teams take agentic AI from prototype to production — and keep it accountable once it is there.
Production agentic systems
From prototype to production: we design and build agentic systems whose work is verified independently, bounded by budgets and approved by people before it lands.
Agent governance & evaluation
Already running agents? We assess what they can touch, build evaluation suites that measure what matters, and add the guardrails and audit trail you will be asked for.
Edge AI assistants
Assistants that live where the work happens — on devices, terminals and on-site hubs — with local speech, offline resilience and the same approval and audit model as our software agents.
Formal assurance for AI systems
For the rules that must never be broken, tests are not enough. We specify safety properties formally, prove them, and check that production code conforms.
Case study · Quantitative research (in-house)
A verifiable research and execution platform
How we built an in-house research platform where AI agents run reproducible experiments, and where nothing reaches execution without passing risk controls whose safety rules are formally proved.
- 4,697execution-engine tests passing, 0 failures
- 22local quality and security gates on every change
- Lean 4proofs of core safety rules with conformance fixtures
Frequently
asked questions
Three things. The system checks the AI's output itself (tests, policies, solvers) instead of trusting the model's report; consequential actions wait for an explicit human approval; and every action is logged with the rule and evidence behind it, so it can be explained and replayed.
Our platforms are model-neutral. You can bring your own provider, run several side by side, or switch later without rebuilding the controls around them.
Yes. Our products are self-hosted or run on an on-site hub by default; data and audit logs stay with you.
We are explicit about maturity: Orbit Harness is in early access (alpha), Hornbeam is a research preview and Cosinara Operator is offered through a design-partner programme. We will tell you exactly what has been proven and what has not.
With a short discovery conversation, then a fixed-scope assessment or pilot on one real workflow.
Have a workflow that needs an accountable agent?
Tell us what you want automated and what can't go wrong. We'll tell you honestly what is possible today.