SYS / Platform
Nine layers. One cognitive stack.
From the physical-world ontology at the foundation to fleet-scale coordination at the top, each layer a product surface in its own right; together, the cognitive infrastructure for autonomous systems.
SYS / The nine layers
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01
Physical World Ontology
An extensible ontology of the physical world, assets, sensors, people, organizations, zones, airspace, missions, hazards, batteries, weather, infrastructure, with relationships, capabilities, states, constraints, and history. Every agent knows exactly what every object means.
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02
Multi-Agent Intelligence
Specialized reasoning agents, mission planning, navigation, fleet coordination, sensor fusion, logistics, maintenance, energy, risk, scheduling, simulation, compliance, each expert in a domain, all sharing the same ontology and operational context.
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03
Unified Sensor Intelligence
Heterogeneous fusion of RGB, thermal, radar, LiDAR, GNSS, RF, telemetry, weather, and satellite inputs into one semantic representation, not an object at coordinates, but a damaged vehicle in Zone B with conditions raising failure probability.
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04
Dynamic World Model
A living representation of reality, continuously updated: asset locations and states, mission progress, resources, environment, predicted failures, and operational risks, the reasoning substrate for every autonomous decision, not a dashboard.
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05
Digital Twin Intelligence
Every physical asset has a living twin; the system continuously simulates degradation, battery health, utilization, bottlenecks, and mission outcomes, moving operations from reactive to predictive to autonomously optimized.
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06
Autonomous Decision Engine
Coordinated action from ontology, world model, simulation, and agent reasoning: a drone runs low on battery, a ground robot takes over the inspection, routes update, the operator is notified, automatically, with human approval where required.
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07
Memory & Continuous Learning
The platform remembers missions, equipment performance, maintenance history, operator decisions, and environmental patterns, every future decision informed by accumulated operational experience.
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08
Fleet Intelligence
Coordination of thousands of heterogeneous assets, aerial, ground, marine, fixed, with task allocation, resource optimization, health monitoring, and human oversight at scale.
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09
Vertical Intelligence Modules
Domain applications on one platform: Fleet, Sensor, Logistics, Manufacturing, Infrastructure, and Digital-Twin Intelligence, each vertical a product, all reusing the same ontology, reasoning engine, and world model.
SYS / Capabilities
Built for mixed fleets from the first line of code.
Hardware-agnostic adapters
Any vendor's drone, robot, sensor, or vehicle connects through adapters that lift its data and capabilities into the shared ontology, integration measured in hours, not months.
Shared semantic world model
One continuously updated representation of assets, environment, missions, and risks that every agent and every asset reasons over, the end of per-vendor silos.
Heterogeneous mission execution
Missions planned against capabilities, not vendors: the platform assigns tasks to whichever assets can do them, and hands off between asset types mid-mission.
Simulation-gated autonomy
Coordinated plans run in the digital twin before touching reality; operators approve outcomes, not hope.
Operator command deck
One human commanding many systems: live world model, mission board, approval queue, and full decision audit. See the workspace.
Deployment sovereignty
Cloud, on-prem, edge, and disconnected, including fully air-gapped deployments for classified and critical-infrastructure environments.
SYS / What sets it apart
Reasoning, not just prediction.
Because relationships are explicitly modeled, this drone belongs to that warehouse, requires a battery, and the battery depends on an unavailable charger, the platform derives conclusions no standalone model reliably can: the mission cannot continue; select an alternative asset or delay.
Ontology-grounded interoperability
Incompatible vendor APIs meet in one semantic layer, the first time a mixed fleet genuinely shares an understanding of the world rather than exchanging translated messages.
Semantic sensor fusion
Fusion at the meaning level, not the pixel level: every detection lands in the ontology as an entity with relationships, history, and implications.
Accountable autonomy
Every autonomous decision carries its reasoning chain through the ontology, inspectable, auditable, and explainable by construction: the legal precondition for deploying autonomy in defense and critical infrastructure.
Everything, as one picture
Assets, zones, hazards and detections are not layers drawn over a map; they are objects in the graph with relationships you can follow. Select a survey zone and you get the facility it belongs to, the sensor watching it, and every detection recorded inside it.
Work moves between machines, not just between assets
The mission was planned against a capability, so when an aircraft cannot finish, a ground robot can take the rest of the route. The energy projection, the re-allocation, the recovery vehicle and the spare battery all follow from one decision, and every step of it is on the record.
Weather and ground are inputs, not background
Rehearsal runs against the wind that is actually blowing, and an execution profile's altitude becomes a clearance checked against real terrain along the whole route. A sortie that would fly into a hillside is refused at planning time, with the height it would have needed.
SYS / The platform today
Launch scope
| Surface | What ships |
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| Wedge product | Heterogeneous inspection & monitoring: mixed drone and ground-robot fleets, unified mission planning, automatic cross-asset task handoff, unified sensor picture. |
| Asset classes | Commercial UAV platforms and ground robots via the adapter SDK; fixed cameras and environmental sensors as world-model inputs. |
| Deployment | Cloud and on-prem; edge, disconnected, and air-gapped deployment on the defense-hardening roadmap. |
| Integration surfaces | Adapter SDK for hardware vendors, mission API, world-model query API, and the operator command deck. |