Your data stays yours
Clar.OS runs against your systems without your data leaving your control. We don't sell it, and we don't use it to train models for anyone else.
Our agents touch financial records, customer conversations and the systems that run your operations — data that demands real safeguards, not a checkbox. Here's how Clar.OS and every agent built on it are architected around that.
Not a policy document bolted on after the fact — decisions made in how the platform is built.
Clar.OS runs against your systems without your data leaving your control. We don't sell it, and we don't use it to train models for anyone else.
Agents connect to only the systems and scopes a given workflow needs — nothing is wired up "just in case."
What an agent saw, decided and did is recorded and traceable — so a security review has something real to look at.
Every consequential action passes hard rules before it happens — not a judgment call left to a language model.
VerifiedYou decide which actions need a person to sign off. Agents earn more autonomy only as results prove them out.
Human-in-the-loopEvery decision traces back to what the agent observed and why — inspectable by your team, not just ours.
ExplainableWe hold ourselves to enterprise security practices from day one, and we're formalizing that into the certifications larger teams look for.
We're building our formal certifications now as we take on larger customers, and we'll share progress as it happens. In the meantime, every engagement starts with a direct conversation about your specific security and data requirements.
Tell us your requirements — data residency, review process, whatever's on your checklist. We'll tell you honestly where we stand.