ParallaxOS is a hardware‑agnostic operating system that aggregates data from radar, RF, EO/IR, acoustic sensors and effectors into a single real‑time common operating picture. It uses AI‑driven multi‑sensor fusion to correlate tracks and classify threats with sub‑10 ms latency, while presenting human‑in‑the‑loop engagement recommendations via a unified interface and standard NATO protocols.
Funding
Funding not disclosed
Founders
Product
Problem
Counter‑UAS operators must monitor and control ten or more disparate sensor streams—radar, RF, EO/IR, acoustic—and separate effector systems, each running on its own interface. The lack of a unified operating picture forces manual correlation, introduces latency, and can cause engagement decisions to lag behind fast‑moving drone threats.
Solution
ParallaxOS is a software‑only operating system that aggregates data from any radar, RF detector, EO/IR camera, acoustic array, and effectors into a single, real‑time common operating picture. The platform is hardware‑agnostic and natively supports NATO‑standard protocols such as SAPIENT (AEDP‑4869), Link 16, Cursor on Target, and NATS, enabling plug‑and‑play integration with existing defense stacks. AI‑driven multi‑sensor fusion performs autonomous track correlation and threat classification with millisecond‑scale latency, while a human‑in‑the‑loop workflow presents engagement recommendations that require operator authorization. Results are delivered on a consolidated screen and exposed via APIs for downstream command‑and‑control (C2) systems, reducing decision time and eliminating vendor lock‑in.
Target Audience
Primary customers are military air‑defense units and defense agencies responsible for protecting airspace, as well as commercial security operators protecting critical infrastructure such as airports, ports, and large venues.
Features
- Hardware‑agnostic integration layer that ingests data from any radar, RF sensor, EO/IR camera, acoustic array, or effectors without custom drivers.
- Standards‑native connectivity to NATO SAPIENT, Link 16, Cursor on Target, NATS, and other legacy C2 protocols out of the box.
- AI‑powered multi‑sensor fusion engine delivering autonomous track correlation, classification, and prioritization with sub‑10 ms latency.
- Human‑in‑the‑loop engagement module that generates actionable recommendations while requiring operator authorization for weapon release.
- Single‑screen common operating picture consolidating all sensor feeds and effector status, with customizable layer controls.
- Secure, role‑based API suite for real‑time effector command, data export, and integration with existing mission‑planning tools.
- Scalable architecture supporting distributed deployments across air‑defense sites, with built‑in telemetry for performance monitoring.