OpCopilot

OpCopilot

The intelligence layer for critical operations. Connects your sensors, systems, and teams. Deployable in sovereign, air-gapped environments.

Search & Rescue Border Control Maritime Domain Awareness Defense Weather Observation Emergency Services

An Intelligence Layer Over Your Sensors and Systems

OpCopilot ingests data from your sensors and existing systems, applies multi-model AI analysis, and surfaces actionable intelligence to operators in real time.

OpCopilot does not replace your existing infrastructure. It connects to it.

Radar, AIS, satellite feeds, COSPAS-SARSAT beacons, weather stations, CCTV, C2 systems, incident management platforms: OpCopilot ingests data from all of them. Multiple AI models work in parallel: anomaly detection, pattern recognition, natural language processing, and computer vision. The result is a unified operational picture with AI-generated insights your operators can act on immediately.

Your organization's SOPs and best practices are embedded into the system. OpCopilot does not just process data. It processes data through the lens of how your team actually operates.

Sensor-Agnostic Integration

Connect radar, AIS, satellite, thermal, CCTV, weather stations, and beacon systems through a single platform.

Multi-Model AI Analysis

Multiple AI models run in parallel: anomaly detection, NLP, computer vision, and pattern recognition. Each optimized for specific data types.

Your Best Practices, Embedded

Ingest your organization's SOPs, operational procedures, and domain expertise. OpCopilot highlights what matters to your team, not generic alerts.

Operator-Centric

AI recommends. You decide. Built to enhance human judgment, not replace it.

Operational Domains

Deployed across critical operations where sensor integration and real-time intelligence determine outcomes

Search and Rescue

AI-assisted coordination aligned with IAMSAR methodology. Integration with COSPAS-SARSAT beacon systems, drift modeling, and multi-asset search planning.

  • COSPAS-SARSAT beacon ingestion and alert processing
  • Drift modeling with real-time environmental data
  • Search pattern optimization across multi-asset deployments
  • Past-mission decision recall for similar incident types

Border Control

Persistent surveillance intelligence across land and maritime borders. Sensor fusion and anomaly detection for border management agencies.

  • Radar, thermal, and CCTV sensor fusion
  • Anomaly detection on movement patterns
  • Integration with existing border management systems
  • Automated incident reporting with evidence chain

Maritime Domain Awareness

Unified maritime picture from distributed sensor networks. Multi-source correlation for vessel tracking and threat assessment.

  • AIS, radar, and satellite data correlation
  • Vessel behavior analysis and track anomaly detection
  • Multi-source intelligence overlay
  • Integration with VTS and port management systems

Defense Operations

C2 system integration for sovereign defense environments. Designed for classified networks with full air-gapped deployment.

  • Air-gapped deployment in classified networks
  • Hardware sensor network integration
  • Multisite coordination with local AI processing
  • Decision memory across operational shifts

Weather Observation

Intelligence layer over meteorological sensor networks. Automated ingestion, anomaly detection, and alert generation for observation centers.

  • Automated weather station data ingestion and correlation
  • Anomaly detection against historical baselines
  • Alert generation based on organization-defined thresholds
  • Integration with WMO-standard observation systems

Emergency Services

Real-time decision support during multi-agency incident response. AI-assisted triage, resource coordination, and collaborative awareness.

  • Incident triage with AI-assisted prioritization
  • Resource optimization across distributed teams
  • Collaborative situational awareness between agencies
  • Automated incident report generation

Built for Sovereign Deployment

Architecture designed from the ground up for air-gapped, high-security environments. Not adapted. Purpose-built.

Air-Gapped Ready

  • Zero cloud dependencies
  • No external network calls
  • Classified-environment ready
  • Operates on isolated networks

Multi-Model AI

  • On-premise model deployment
  • Multiple models per data type
  • RAG for operational documents
  • Agent orchestration on local compute

Real-Time Processing

  • Event-driven architecture
  • Sub-second response times
  • Live data streaming
  • Matches operational tempo

Open Integration

  • RESTful APIs for any system
  • Sensor-agnostic connectors
  • C2, VTS, SCADA, ERP compatibility
  • Standard protocols (NMEA, CAP)

Data Sovereignty

  • 100% of data stays on your infrastructure
  • No telemetry, no external dependencies
  • Full audit trail on local storage
  • Compliant with national data residency requirements

Platform Capabilities

Eight capabilities that turn sensor data and system inputs into operational intelligence

Multi-Model AI Engine

Multiple AI models run in parallel, each optimized for specific data types and analytical tasks.

  • Anomaly detection, NLP, computer vision, pattern recognition
  • Models selected per data source for accuracy
  • New models deployable without platform changes

Organization Best Practices

Your SOPs, operational procedures, and institutional knowledge become part of the AI's reasoning.

  • Ingest existing documentation (PDFs, manuals, SOPs)
  • AI highlights deviations from your procedures
  • Reduces onboarding time for new operators

Sensor & System Integration

Connect any sensor or existing system through open APIs. Vendor-agnostic by design.

  • Radar, AIS, satellite, thermal, CCTV, weather stations, beacons
  • C2, VTS, incident management, ERP, SCADA
  • Bidirectional data flow with webhook support

Intelligence Layer

AI-generated insights overlaid on raw sensor data and system outputs. Context, not just data.

  • Correlates data across sources automatically
  • Surfaces patterns invisible in single-system views
  • Prioritizes alerts based on operational significance

Decision Memory

OpCopilot remembers past decisions and their outcomes to guide operators facing similar situations.

  • Recalls similar past incidents and resolutions
  • Surfaces what worked (and what did not) in comparable scenarios
  • Institutional knowledge persists across shift changes

Collaborative Operations

Operators share situational awareness in real time through a shared operational workspace.

  • Shared annotations and assessments on live data
  • Team discussion threads tied to specific incidents
  • Role-based views with unified operational picture

Automated Reporting

Generate incident reports, shift summaries, and KPI dashboards from current operational state.

  • Reports generated from live data, not manual entry
  • 5 minutes to review instead of 2 hours to build
  • Exportable in standard formats for chain-of-command reporting

Sovereign Deployment

Runs entirely on your infrastructure with zero external dependencies.

  • Air-gapped: no internet, no cloud calls
  • On-premise AI models: no data leaves your network
  • Classified-environment ready

Platform Access

Three ways to interact with OpCopilot: operate, collaborate, integrate

Operator Interface

  • Chat-centric design: Natural language interaction in 20+ languages
  • Real-time displays: Live data visualization with context-aware alerts
  • Decision memory: Past decisions and outcomes surfaced for similar incidents
  • Web application: Accessible across all devices, no installation required
  • Configurable workflows: Matched to your operational procedures

Collaborative Workspace

  • Shared operational picture: All operators see the same live data
  • Incident-linked discussions: Threaded conversations tied to specific events
  • Annotation and assessment: Mark up live data with team observations
  • Role-based views: Commanders, analysts, and field operators each see what matters
  • Shift handover: Full context transfers automatically between shifts

API Integration

  • RESTful APIs: Bidirectional integration with existing systems
  • Sensor connectors: Radar, AIS, satellite, thermal, weather stations
  • Enterprise systems: C2, SCADA, ERP, VTS, incident management
  • Webhook support: Event-driven notifications and triggers
  • Vendor-agnostic: Open architecture, no lock-in

Team Experience

OpCopilot is built by a team with direct operational experience in critical environments

20+

Real Missions Supported

5+

Years in Operations

24/7

Operational Availability

100%

Sovereign Deployment

Our team's hands-on experience across SAR coordination, maritime surveillance, and defense operations directly shapes how OpCopilot is designed. Every feature reflects real operational needs, not assumptions.

See OpCopilot in Action

If you operate in SAR, border control, defense, maritime surveillance, weather observation, or emergency services and need an intelligence layer that runs in sovereign environments, let's connect.