Modern conflict is won at the speed of decision. Orbit3D is being built for exactly that edge.
It is growing up fast, from a payload viewer into a full tactical payload-intelligence system: a real-time digital twin and decision-support layer for autonomous defense. The core principle is simple. An agentic AI framework runs the heavy compute and the technical programs, so human operators stay at the speed of relevance. Maximum efficiency, maximum precision, zero wasted seconds.
What the agents orchestrate:
- Multi-sensor data fusion across EO/IR, radar, RF/SIGINT, and LiDAR feeds, using Extended and Unscented Kalman track fusion to hold a single, deconflicted air-and-ground picture.
- Non-cooperative target recognition (NCTR) and threat classification at the tactical edge - GPU inference next to the sensor, not in a data center 800 miles away.
- Emitter geolocation via time-difference-of-arrival (TDOA) and angle-of-arrival (AOA) multilateration, with a circular error probable (CEP) estimate attached to every fix.
- Payload and fire-control solutions - ballistic and trajectory computation, mass-properties and center-of-gravity modeling, and effects optimization against a prioritized target list.
- Counter-UAS (C-UAS) track-to-engage workflows behind a strict human-on-the-loop authorization gate.
It is built on a Modular Open Systems Approach (MOSA), so it plugs into existing C2 and JADC2 pipelines, and every recommendation is fully auditable: precise, explainable, fast.
This is the lane the new wave of autonomous-defense software lives in. Orbit3D is my entry, and it is aimed at the top.
See the system in the portfolio → Orbit3D Viewer