Ravn Robotics develops embodied AI software that enables robots, drones, and unmanned systems to perceive their environment, reason through uncertainty, coordinate across fleets, and act in real time at the edge.
Explore the Technology
Real-time scene understanding from cameras, LiDAR, radar, thermal, and inertial sensors.
Context-aware decision logic that adapts to changing conditions and unexpected inputs.
Closed-loop autonomy for navigation, manipulation, and physical task execution.
Multi-agent intelligence for fleets, swarms, and distributed sensor networks.
Human-in-the-loop command, audit, and override built into every layer.
Autonomous reconnaissance, unmanned systems, perimeter monitoring, target tracking, and degraded operations.
Adaptive arms, collaborative robots, machine tending, quality inspection, and flexible manufacturing.
Drone navigation in GPS-degraded environments, object tracking, inspection, and multi-drone coordination.
Persistent robotic monitoring for energy sites, ports, mines, rail networks, and logistics hubs.
Disaster zones, hazardous site assessment, search and rescue support, and remote evaluation.
Distributed sensing with shared situational awareness and live operator context.
Task planning and execution when terrain, lighting, targets, or networks change.
Dashboards, live telemetry, alerts, override, compliance, and audit records.
Ravn is not a robot. It is the intelligence that runs inside one. The stack runs on the machine, not in the cloud, and integrates with robots, drones, and industrial systems already in operation.
View the StackCameras, LiDAR, radar, thermal, IMU, GPS, acoustic, and industrial telemetry feed a common interface.
Object detection, tracking, segmentation, environment mapping, and anomaly detection.
Task planning, decision ranking, intent inference, and environmental adaptation.
Navigation, manipulation, path planning, obstacle response, and mission execution.
Swarm coordination, shared situational awareness, and distributed mission logic.
Operator dashboards, live telemetry, alerts, override, compliance, and audit records.
The goal is not to replace hardware. The goal is to make it mission-capable under real conditions, with humans in command.
Autonomy runs on the machine. Decisions do not wait for a server.
Ravn integrates with existing robots, drones, sensors, and industrial systems.
Every capability is built for uncertainty, supervision, and coordinated action.
Latency, bandwidth, and connectivity stop being single points of failure when decisions run on the machine.
Ravn is platform-agnostic software that makes deployed robots, drones, sensors, and industrial systems smarter without replacing them.
Autonomous actions are observable, explainable, and overridable through command interfaces and audit records.
The stack is built for fleets, swarms, and mixed teams of machines that share context and act in concert.
Ground robots, aerial systems, manipulators, sensor networks, and industrial automation platforms.
Defense, industrial robotics, aerial autonomy, critical infrastructure, and public safety response.
