FOVEA / Mission + edge software

FOVEA

Every sensor. One trusted picture. Even when the network is cut.

FOVEA turns the radars, cameras, radios, drones and reports a unit already has into one shared picture of what is moving, at every node. It keeps that picture working through network outages, shows where every piece of information came from, and helps put the right asset on the right target.

FOVEA C2 / Simulation

From first detection to dispatch.

A full search-and-rescue walkthrough run end to end in FOVEA's simulation harness: cooperating nodes, fused tracks with their sources, and tasking that shows its reasoning, including every option it rejected and why. Every track, node and event shown is simulated.

FOVEA product walkthrough: a direction-finding position fix on a distress beacon in a simulated Monterey Bay search-and-rescue scenario.
SIMULATED SCENARIO / NOT OPERATIONAL DATA IMAGERY © ESRI AND ITS DATA PROVIDERS
Close-up of the simulated track picture: civil air traffic with velocity leaders, maritime contacts, a person-in-water heat signature, an RF emitter fix, controlled airspace, and a UAV waypoint being dispatched.
TRACK PICTURE / SIMULATED IMAGERY © ESRI
FOVEA decision view for a simulated UAV dispatch: utility over time, the chosen move with its utility gain and leg length, and rejected options labeled with reasons such as legs exceeding maximum range, paths through a wildlife no-go zone, and controlled airspace.
DECISION VIEW / SIMULATED REJECTED OPTIONS SHOWN

How it works

Sense. Normalize. Fuse. Coordinate.

Whatever a sensor reports, FOVEA translates it into one common language, combines it with everything else into single tracks that keep their sources, and shares the result with the people, systems and assets that need it.

Connects to: radar, RF and direction finding, EO and thermal cameras, acoustic arrays, LiDAR, drone payloads, software radios, ADS-B, AIS, drone Remote ID, TAK / ATAK, operator reports and partner sensor networks. New sensors join through FOVEA's open sensor kit without changes to the core.

REPRESENTATIVE LOGIC FLOW DISTRIBUTED / MODULAR / SENSOR-AGNOSTIC

Key features

Built for the edge, not the lab.

01

Any sensor, one picture

Radar, RF, cameras, thermal, acoustic, LiDAR and cooperative reports combine into single tracks instead of separate screens.

02

Works disconnected

Every node keeps sensing and deciding through network outages, then rejoins the shared picture automatically. There is no central server to lose.

03

Trust you can audit

Every track shows which sources contributed and when. Every tasking decision shows its reasoning and the options it rejected.

04

Anything can cue anything

A detection from any source, whether a sensor, an operator or a TAK report, can point another sensor or asset to find, confirm and track the target.

05

Keeps working without orders

Uncrewed assets that lose contact with command keep up useful coverage within set limits, then return.

06

Automatic alerts

Flags keep-out intrusions, loitering, impossible movement and likely spoofing, so operators see what matters first.

07

Fits existing systems

Feeds TAK and Anduril Lattice in standard military map symbols, so the picture shows up where crews already work. Security and supply-chain controls are designed in.

08

Runs where the mission is

Rugged edge computers, including NVIDIA Jetson-class hardware, standard servers, Android radio nodes and fully air-gapped sites.

Status, stated plainly

Pre-production. See it run.

NowA production software build: multi-sensor fusion, disconnected operation, cueing, tasking, alerts, and live output to TAK and Lattice, tested end to end in simulation.
NextBench testing with real cameras, acoustic arrays, LiDAR and radar, then field demonstration with external observers.
Not yetNo field deployments and no authority to operate. Tactical data link interfaces are still in development.