Operational knowledge that remains usable, reviewable, and accountable.
Mnemos connects maintenance records, procedures, inspections, failures, compliance evidence, and field expertise around each asset—then turns that context into traceable decisions.
A working model of how industrial knowledge becomes defensible.
The interface is intentionally simple. Underneath it, Mnemos resolves identity, retrieves across multiple stores, verifies evidence, routes specialist reasoning, and retains the complete execution trail.
Reconstruct the asset story before forming a conclusion.
Mnemos aligns work orders, inspections, procedures, expert notes, and graph relationships into one chronological evidence view.
Depth where trust depends on it.
Mnemos is designed around failure modes that matter in industrial systems: stale evidence, incorrect identity, hidden contradictions, unbounded tool use, and actions taken without authority.
Asset-centred memory
Identity, events, documents, failures, and expert knowledge are resolved around the equipment teams operate.
Hybrid retrieval
Vector, lexical, structured, graph, and multi-hop retrieval are fused before evidence reaches the reasoning layer.
Claim verification
Answers preserve supporting evidence, contradictions, source revision, confidence, and missing information.
Durable orchestration
Checkpoints, idempotency, audit events, and approval state survive process interruption and retry.
Governed tool use
Agents operate through scoped tools with allowlists, timeouts, budgets, and retained trajectories.
Human authority
Critical RCA, compliance, and knowledge actions pause for authorised review rather than auto-approving.
Follow an investigation from evidence retrieval to a reviewable decision.
The public workspace uses synthetic operational records and remains read-only. Private workspaces are available after authentication.