Request BriefingData · Governance · Oversight
The standards law enforcement requires — engineered into the platform, not layered on top of it.
The Principle
Consumer AI wasn't built for law enforcement. The way data flows, where models run, who can see what, how outputs are governed — none of it was designed for agencies operating under CJIS, state open-records statutes, or active oversight. ORION was. Every architectural decision was made with that reality as the starting point, not a compliance checklist.
Data Handling
ORION runs entirely inside AWS GovCloud. Your agency's data — CAD records, body cam metadata, LPR feeds, RMS pulls — never leaves the GovCloud boundary. No staging environments outside, no commercial cloud fallback, no analytics pipelines routed through other regions. The boundary is the boundary.
Each agency's environment is logically and cryptographically isolated. Your data doesn't train anyone else's model. It doesn't feed a shared corpus. It doesn't surface as inference signal in another agency's command view. The agent layer reasons inside your tenant and nowhere else.
End-to-end encryption is the default and the only configuration. SSL validation at every connection point. Key management is federal-grade. There is no unencrypted path in or out of the ORION environment.
Every query, every agent action, every command view event is logged against an authenticated user. Role-based access controls map to your agency's chain of command. Full audit trails are exportable for internal affairs, prosecutors, and open-records response.
Model Governance
Every agent reasons on a frontier foundation model, accessed through AWS Bedrock. The model runs inside GovCloud. No consumer AI infrastructure. No third-party inference endpoints.
Every agent output carries the source data it reasoned from. A BOLO hit cites the camera, the plate, the dispatch channel. An investigations thread cites every record it pulled. Command staff can always see why an agent surfaced what it surfaced.
Agents surface intelligence and recommend actions. They don't dispatch units. They don't authorize warrants. They don't make legal or use-of-force determinations. The command view is an operator's tool; the operator acts.
Agents refine against your live data environment and your command staff's confirmed outcomes. Refinement logs are auditable. You can inspect — and roll back — any change to agent behavior.
Your data is not used to train foundation models. Not the model provider's. Not anyone's. It stays inside your tenant boundary and is used solely to refine the agents that serve your agency.
Oversight
Internal affairs, civilian oversight boards, prosecutors, open-records officers — they have legitimate reasons to understand how an agentic platform operates inside your agency. ORION is built to be explainable to them.
Agent outputs cite the records, feeds, and timestamps they reasoned from. Nothing is a black box to the oversight function.
Every user action — search, command view event, agent interaction — is logged. Logs are tamper-evident and exportable in formats oversight bodies already work with.
Your agency sets the rules: which data sources agents may reason over, which roles see which outputs, which actions require secondary authorization. We enforce; you define.
Want the technical write-up?
The architecture diagram, the data-flow specification, the governance controls document — all available under NDA to qualifying agencies.
Request Founding Cohort Briefing