AmbixOS is a unified operations platform for critical infrastructure that ingests data from any sensor or equipment via open standards and applies model‑based reinforcement learning to provide real‑time anomaly detection, predictive maintenance alerts, and automated response recommendations. The system centralises monitoring across sites, offers fully explainable AI decisions, and operates with up to 80 % less data, making it hardware‑agnostic, scalable, and suitable for telecom towers, utilities, ports, and defence installations.
Funding
Funding not disclosed
Founders
Product
Problem
Operators of critical infrastructure such as telecom towers, utilities, ports, and defence sites often manage heterogeneous sensors and equipment with fragmented monitoring tools, leading to delayed anomaly detection, costly downtime, and limited automated response capabilities.
Solution
AmbixOS provides a unified operations platform that acts as a “nervous system” for critical sites. It ingests data from any sensor or equipment using open standards, then applies model‑based reinforcement learning to generate real‑time anomaly detection, predictive maintenance alerts, and automated response recommendations. The platform delivers fully explainable AI decisions, allowing operators to understand the reasoning behind each recommendation. By centralising monitoring and prioritising alerts across all locations, AmbixOS enables faster, data‑efficient deployment—requiring up to 80 % less data than traditional solutions—while remaining hardware‑agnostic and scalable to any environment.
Target Audience
Primary customers are operators and managers of critical infrastructure—including telecommunications tower networks, utility grids, ports, logistics hubs, and defence installations—who need unified, intelligent monitoring and automated response capabilities.
Features
- Open‑standard integration layer that connects any sensor or equipment without hardware replacement
- Real‑time anomaly detection and predictive maintenance powered by model‑based reinforcement learning
- Automated security monitoring and incident response for perimeter and infrastructure threats
- Full explainability of AI decisions with clear, actionable reasoning for each recommendation
- Centralised dashboard that aggregates and prioritises alerts across all sites and systems
- Federated learning framework that shares insights across sectors while preserving data privacy