Osora is built to be trusted with how your company actually works. It watches without touching, isolates every tenant, and proves every action it takes back to the human who authorized it.
Osora watches and listens during a recording and never acts, touches, or changes anything — least privilege from the first frame.
Osora creates no hidden bot identities and silently tracks no attendees — what is captured is what was recorded and shared.
Your company memory stays isolated, so your recordings, graph, and skills never mix with anyone else's.
Model calls run zero-retention, so the inference layer keeps none of your content and trains on none of it.
Every rule traces to a human and a moment, and every action ties to the rule that authorized it — audit builds itself.
Osora states exactly what it does and does not do, and the DPA and trust center spell out every specific.
API keys, tokens, and sensitive fields in a recording are detected and painted over before the frame is ever uploaded — Hotjar-style masking, applied at capture time rather than after the fact.
You don't reconstruct an audit after an incident. Because every rule is bound to a recording and every action to a rule, the trail already exists — queryable, complete, and tied to real human decisions.
Data processing & trust center.
Sub-processors, data handling, and the full DPA.
Provenance, isolation, and masking — built in, not bolted on.