xneural.ai provides a distributed sensor network that turns drone detection into a subscription-based service for critical infrastructure operators. The platform fuses data from multiple sensor nodes into a single, AI-classified drone track, delivering real-time alerts and a continuous operational picture of lower airspace. It offers early warning and total observability without requiring customers to own detection hardware.
Funding
Funding not disclosed
Founders
Product
Problem
Authorized, non-authorized, and dark drones are increasingly operating around valuable sites and critical infrastructure, yet responders rely on manual observation, isolated sensors, or incident-driven tools that fail to create a continuous operational picture. Owners of critical infrastructure are also being pushed by regulators to integrate drone response into their security processes, but existing detection solutions are often costly and complex to deploy.
Solution
xneural.ai provides a distributed network of sensors that turns drone detection into a scalable, subscription-based service. Each deployment aggregates nearby sensor nodes to produce clutter-free, reliable drone tracks while reducing required network bandwidth. A sovereign cloud engine orchestrates the sensor nodes and fuses different detections into a single data stream for live views, incident response, and analytics. Alerts flow directly into security operations and customer command & control systems through a dedicated API, delivering a clear operational picture of lower airspace without the cost and complexity of owning detection infrastructure.
Target Audience
Primary customers are owners and operators of critical infrastructure, such as power plants, data centers, and other valuable sites, along with security operations teams that need continuous drone detection and response capabilities.
Features
- Distributed sensor network providing 24/7 wide-area coverage of lower-airspace activity
- AI-based drone classification and threat assessment that detects both cooperative and non-cooperative drones
- Fusion of overlapping detections into a single movement trail with useful context
- Sovereign cloud engine that orchestrates sensor nodes and fuses tracks into one data stream
- Dedicated API for delivering alerts into security operations and command & control systems
- Subscription-based Detection as a Service model that avoids high upfront investment