Platform
AMIS connects multi-modal perception with agentic orchestration, giving operators and engineers clear, auditable recommendations in real time.
A simple loop that moves from signal to action without losing context.
Fuse video, telemetry, and text into consistent system state.
Evaluate intent, constraints, and confidence before recommending action.
Coordinate playbooks, agents, and human approval in one flow.
Capture outcomes, update policies, and improve future decisions.
Planner, executor, and evaluator roles align every decision pathway.
Builds a mission-aware plan with clear dependencies and guardrails.
Runs stepwise actions and calls integrations with precise context.
Validates outcomes, explains confidence, and recommends adjustments.
Vision, language, and time-series signals share one reasoning layer.
Stream cameras, drones, or inspection feeds with contextual memory.
Interpret SOPs, tickets, and handoffs with grounded citations.
Correlate telemetry and logs with operational timelines.
Built for streaming signals, change detection, and fast coordination.
Continuous ingestion from sensors, logs, and system events.
Automated escalation based on confidence, severity, and policy.
Operator approval gates for sensitive actions and escalations.
Transparent metrics for every agent, tool call, and decision.
Track latency, token usage, and accuracy by workflow step.
Surface model confidence and data drift before they escalate.
Immutable decision logs for compliance and root-cause analysis.
Walk through the platform architecture, integrations, and governance layers with our team.