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Product · Orion.Scan

Move beyond alerts and explain the situation

Orion.Scan brings abnormal behavior and abnormal incidents into one reasoning layer, aiming to give operators enough context to prioritize action quickly.

The product follows a zero-shot-oriented posture and lightweight VLM strategy to reduce infrastructure burden.

Explainable alerts
Behavior + incident
Zero-shot oriented

2-in-1

behavior + incident reasoning

Zero-shot

deployment-oriented inference posture

24/7

operational stability target

Orion.Scan

Explainable alerts for anomalous behavior and incidents

Overview

Operators need more than event/no-event classification. Scan is designed to surface why something matters and what kind of response it may require.

  • One product for abnormal behavior and abnormal incident reasoning
  • Description-first outcomes instead of binary alerts
  • Phased rollout through plugins or connectors into existing environments

What it solves

Teams lose time replaying clips just to understand whether an alert deserves attention. Scan pushes more context into the alert stage itself.

  • Reduces repetitive replay and review work
  • Helps operators prioritize action faster
  • Adds context needed for downstream response and reporting

Key capabilities

The feature set is centered on making alerts understandable and immediately actionable.

Behavior reasoning

Explainable alerts for fights, falls, and other behavior-based anomalies.

Incident reasoning

A single flow for fires, floods, collapses, and other scene-level incidents.

Lightweight inference strategy

A practical inference posture shaped by operational and infrastructure limits.

Deployment model

Scan is designed as an independent product that can coexist with existing VMS and command environments, especially in security-sensitive on-premise settings.

  • Plugin or connector-based integration
  • Internal-network and air-gapped awareness
  • Lightweight model strategy to reduce oversized server assumptions

Performance and scale

Operational scale can grow with the environment, while quality and performance are tuned against field validation criteria.

  • Stable explainable alerts for large-scale environments
  • Lower infrastructure overhead through lightweight VLM direction
  • Field-driven tuning for quality and throughput

Integration

Explainable alerts become more valuable when they flow straight into the tools operators already use.

  • Event, metadata, and alert result integration
  • API and webhook-based delivery
  • Compatibility with SSO, RBAC, and logging controls

Use cases

A strong fit for teams that need fast prioritization and defensible communication.

  • Unified anomaly reasoning in public control centers
  • Fast situation sharing with field response teams
  • Safer, more consistent reporting and handoff workflows
Product next step

Design the right rollout for Orion.Scan

Share your operating environment, incumbent systems, and validation goals and we will help define the right deployment path.