Live event ingestion
Sensor data becomes a structured, classified event in real time.
OpCopilot
The intelligence layer for critical operations.
Autonomous reasoning built for critical infrastructure, defense, and sovereign environments.
A team of agents reasons over your feeds and ConOps. The operator decides.
The agent team
A watch team for the machine-speed part of the operation.
OpCopilot agents subscribe to live feeds, apply the organisation's ConOps and doctrine, correlate events across sources, and hand structured insight to the operator.
Not a chatbot
Not a dashboard
Not a replacement for operators
Not automated decision-making
See it running
From incoming event to operator-ready report.
The demonstration follows one event through ingestion, classification, insight generation, and reporting.
AI-generated insights
The insights panel builds the operational picture automatically.
Reporting in seconds
A formatted SITREP is produced from live data, not written by hand.
Read the silent demo transcript
00:00–00:20 / Sign-in and guardrails. An operator signs in, asks what the assistant can do, and receives a summary of maritime awareness, operational calculations, search-and-rescue support, weather, reporting, and information-fusion capabilities. The assistant states that it will not make command decisions, interpret rules of engagement, or task assets autonomously.
00:20–00:35 / Operational source material. The document workspace shows operational files available to the assistant, followed by a real-time event table summarising incoming data and processing status.
00:35–00:55 / Live feed awareness. A maritime room receives successive radar-tracking insights for Target 001. The insight rail preserves each timestamped source event as the reported range decreases.
00:55–01:30 / Correlation and report drafting. The assistant reasons over the track updates and drafts a structured SITREP covering the situation, track history, threat assessment, missing environmental and asset data, outstanding actions, and decisions requiring operator authorisation.
01:30–02:05 / Updated operational picture. The event-processing view shows new insights and recommended checks as the target continues closing. The operator requests a SITREP from the latest insight; the resulting report records confidence, CPA/TCPA uncertainty, observed changes, an urgent close-quarters risk, data gaps, and actions for operator review.
Capability pillars
Sense. Reason. Act with the operator.
The same capability model runs across Edge, Server, and Plugin.
01 / Sense
See the whole signal.
- Multi-model engine
- Sensor and system integration
- Cross-source correlation
02 / Reason
Apply operational doctrine.
- ConOps and doctrine ingestion
- Operational intelligence layer
- Decision memory across shifts
03 / Act with the operator
Keep judgment in the loop.
- Collaboration rooms
- Automated report drafting
- Human approval before action
Reporting
The operational picture, already structured.
OpCopilot drafts reports from live and historical data against the formats and priorities the operation already uses.
5 minutes to review, instead of 2 hours to build by hand.
SITREP / Illustrative
TRACK-X17
IMMEDIATE
URGENT
SHORT-TERM
CONTINGENCY
Unscheduled movement under operator review
- Sources
- Synthetic radar and CCTV
- ConOps class
- Verify before escalation
- Decision
- Pending operator approval
Team intelligence
The shift changes. The operational memory does not.
Collaboration rooms preserve questions, findings, decisions, and source context across watches. New operators learn the ConOps by working alongside the agents and experienced colleagues.
Editions
One reasoning layer, deployed three ways.
The reasoning is identical across all three editions. What differs is where it runs and how many people it serves.
| Edition | Edge | Server | Plugin |
|---|---|---|---|
| Form factor | Compact AI appliance | Data-centre software | Skills and MCP connectors |
| Scale | Single station or vehicle | 50+ concurrent users | Your agent platform's scale |
| Where it runs | At the surveillance station | On-premise or private cloud | Inside your existing agent stack |
| Data residency | At the site | On customer-selected infrastructure | Inside the existing deployment boundary |
| Best for | On-scene and single-station operations | Cross-station correlation and shared command | Organisations with an approved agent platform |
Integrations
Connect the systems already in the operation.
OpCopilot adds an intelligence layer without replacing command, traffic, sensor, or incident-management systems.
Sensors
RadarAISSatelliteCCTVThermalWeatherBeacons
Enterprise systems
C2VTSSCADAIncident management
Protocols
NMEAAISCOSPAS-SARSATCAPNATO STANAGRESTWebhooks
Containerised microservices deploy on customer-selected bare metal or private cloud infrastructure.
Technical evaluation
Common deployment questions.
Does OpCopilot need internet access?
No. OpCopilot supports air-gapped operation with local models and no external dependencies. Other deployment tiers can use controlled external services where policy allows.
Can it run on classified networks?
OpCopilot supports air-gapped and on-premise sovereign deployment. Accreditation remains within the customer's security process and environment.
Does it replace an existing C2 or VTS?
No. It connects to existing systems and adds an intelligence layer over the operational picture.
How does an organisation load its ConOps?
Procedures, thresholds, escalation paths, report formats, and reasoning patterns are encoded as versioned skills, often through a forward-deployed engagement.
What happens when a model is wrong?
Recommendations remain traceable to their sources, tool calls are visible, and an operator approves actions before execution.
What hardware is required?
Edge runs at a station, Server runs on customer-selected data-centre infrastructure, and Plugin runs on an existing customer-deployed agent platform.
How long is a deployment?
Deployment timing is confirmed for each operational scope.
How is OpCopilot licensed?
Commercial terms are confirmed during the briefing.