QLUUos offers an AI‑driven software platform that converts existing edge radar, RF, and optical sensors into a real‑time counter‑UAS defense system for critical infrastructure. The solution runs locally in Docker/Kubernetes containers, providing predictive 2–5 second trajectory forecasting and automated response planning with sub‑second decision times, all without cloud connectivity. It integrates via open APIs with SCADA and security‑operations tools and is licensed on a subscription basis.
Funding
Funding not disclosed
Founders
Product
Problem
Critical infrastructure operators lack reliable, real‑time detection and autonomous response capabilities against low‑cost, off‑the‑shelf drones that can breach power substations, water treatment facilities, and airport airspace. Existing solutions are hardware‑centric, cloud‑dependent, and require lengthy installation cycles, leaving many sites with zero situational awareness and no coordinated mitigation plan.
Solution
QLUUos delivers a sovereign AI software platform that transforms any existing edge sensor network into a continuous counter‑UAS defense system. The platform runs locally in Docker/Kubernetes containers, eliminating cloud latency and exposure while maintaining full air‑gap isolation for classified environments. An AI‑driven World Model forecasts drone trajectories 2–5 seconds ahead, and a War Planner Agent generates ranked, risk‑aware response options in under a second, enabling autonomous neutralization or operator‑guided intervention. Continuous learning from simulated and live engagements refines detection accuracy and response efficacy without additional hardware. The solution is deployable in hours, provides a 5 km detection perimeter, and integrates with standard security workflows through open APIs.
Target Audience
Primary customers are operators of critical infrastructure—electric utilities, natural‑gas pipelines, water and wastewater treatment facilities, and airport or transit authorities—who require autonomous, low‑latency counter‑UAS protection. Government security agencies responsible for protecting national critical assets also constitute a key market segment.
Features
- Edge‑native deployment on existing radar, RF, and optical sensors; no proprietary hardware required.
- Dockerized, Kubernetes‑ready architecture for rapid scaling and container orchestration across heterogeneous networks.
- AI World Model that performs predictive trajectory forecasting (2–5 s horizon) and real‑time classification of authorized versus hostile UAVs.
- War Planner Agent that computes ranked courses of action with associated risk metrics in ≤ 320 ms, supporting autonomous or supervised mitigation.
- Continuous self‑learning loop that ingests after‑action reports and simulation data to improve detection confidence and response selection.
- 99.7 % system uptime with built‑in health monitoring and remote diagnostics.
- Zero‑cloud, air‑gapped operation ensuring data sovereignty and compliance with high‑security environments.
- Extensible REST/GRPC APIs for integration with SCADA, SOC, and incident‑response platforms; FIPS‑compliant encryption for all data in transit and at rest.
- Optional Intelligence‑as‑a‑Service assessments delivering vulnerability mapping, sensor‑gap analysis, and strategic hardening roadmaps.