The category
Algorithmic Liability Infrastructure.
The control, evidence, and accountability layer for autonomous AI actions.
GeoClear fits your existing systems. It does not replace them, and it does not require rip-and-replace.
Core capabilities
Authorization Records
Evidence that the AI action followed the approved policy path. Reduces black-box action risk.
Denial Records
Evidence that the system held or rejected an unsupported action. Shows this is active control, not just logging.
Evidence-Required Execution
The receiving system checks the record before accepting the action. Moves trust before the action, not after.
Offline Verifier
Verification still works if GeoClear is offline. Critical for federal, audit, and long-lived records.
Customer-Held Evidence
The customer keeps the record, evidence commitments, policy bundle, trust material, and verification reports.
Three Deployment Modes
Customer-computed, GeoClear-managed minimized evaluation, or customer-controlled or authorized integrator-managed enclave. Works with your architecture, not against it.
Three deployment modes, one record output
Customer-computed
Customer computes the policy result locally; GeoClear binds and signs the result into a record.
Managed minimized evaluation
GeoClear evaluates minimized customer-approved attributes and issues the record.
Customer-controlled or authorized integrator-managed enclave
GeoClear software runs inside the customer-controlled or authorized integrator-managed boundary and evaluates locally.
Customer-held evidence and offline verification
The customer keeps the record, policy bundle, evidence commitments, trust material, and verification reports. Customers can verify retained records and bundles without requiring GeoClear servers in the audit path. Location remains one evidence profile among many, not the boundary of the platform.