The Intelligence Layer for Distributed Sensing. A production-proven AI platform that transforms multi-sensor networks into unified, real-time Extended Intelligence: running locally, operating autonomously, and placing confidence-scored, actionable awareness in the hands of it’s human operators.
At each node, XIcore Engine runs AI inference models optimized for constrained compute. Acoustic signatures, RF patterns, seismic waveforms, gas concentrations, and optical inputs are classified and filtered locally, only meaningful, confidence-scored events consume network bandwidth.
Across the network, XIcore Engine's swarm intelligence layer correlates detections from multiple nodes to produce information no single node could generate. Time-difference-of-arrival (TDOA) algorithms triangulate the precise location of events.
The output of XIcore Engine is structured for human decision-making. Target tracks with position, heading, velocity, and confidence tier. CBRN plume maps with source location and dispersion vectors.
On hardware embedded nueral networks.. Audio, passive RF spectral baseline, acoustic triggers
Swarm Intelligence, Cross node TDOA triangulation, chemical plume maps
Decision-ready outputs, confidence scores, multi-modal evidence, C2 delivery.
Most sensing systems generate data. XIcore Engine generates decisions. The difference is the intelligence layer that sits between raw sensor input and operator display: processing, correlating, classifying, and tracking in real time, without waiting for a cloud connection or a human analyst.
XIcore Engine is architecture-agnostic. It runs on edge compute hardware inside our own platforms, but it is equally deployable inside third-party sensor nodes, fixed infrastructure systems, vehicle-mounted arrays, or any distributed sensing network that requires on-device Extended Intelligence.
Directional arrays classify rotor harmonics, engine profiles, footfall cadence, and blast signatures. Cross-node TDOA provides precise source geolocation. Acoustic data also serves as a proxy sensor for traffic state and ultra-fine particle pollution.
Wideband SDR captures C2 uplinks, video downlinks, telemetry, and ambient RF emissions including power line signatures and cellular infrastructure. Anomaly detection flags malfunctioning grid assets, active jammers, and novel emitters.
Ground-coupled sensors detect personnel, vehicles, and blast overpressure through terrain blocking acoustic propagation. Seismic and acoustic fusion tightens geolocation estimates for kinetic events and moving targets
Scentroid's multi-compound gas sensing detects CW agent precursors, toxic industrial chemicals, explosive precursors, and tracer gases, including HF as an early indicator of hazards. Distributed nodes map plumes in 3D with source geolocation
EQ/IR Sensors provide traffic analyiss, land-use and industrial activity classification, and UAS positive identification. Visual confirmations cross-cue other modalities and controbute to the cross-modal self retraining pipeline.
XIcore engine operates across LoRaWAN, satellite, 5G/LTE, direct point to point radio, and on-premise Modbus, adapting to whatever connectivity the environment supports. MANET mesh networking is on the XIcore roadmap for forward deployed and fully infrastructure free operation.
Technical Highlights:
Processes complex mechanical frequencies. Compares signatures to threat database to classify military aircraft vs utility helicopters. Feeds spatial coordinates within 1.5 seconds of trigger.
All inference and fusion runs on-device and within the node network. Fully operational with zero external connectivity requirements.
Disciplined oscillator protocols and inter-node time transfer maintain TDOA accuracy in jammed, subterranean, or heavily canopy-covered terrains.
Validated in heavy traffic stadium ranges with tens of thousands of consumer gadgets transmitting simultaneously.
Decentralized coordinate allocation balances compute burdens and degrades gracefully. Losing partial nodes does not break core surveillance.
Structured role sensitivity levels separate low-clearance community feedback from elite security alarms inside the primary software layers.
Uses cross-modal neural self-learning techniques to automatically re-label target data on co-located sensors with zero human manual typing.
Communicates via LoRaWAN, satellite transceiver feeds, cellular 5G, or fixed local Modbus. MANET infrastructure-free networks are currently on the tactical roadmap.
Deliverables directly conform to NATO STANAG, ATAK interface frameworks, and common defense C2 APIs.
XIcore Engine is not exclusively embedded in XIcore’s own hardware platforms. We offer the intelligence layer as a licensable technology for integration into third-party sensor networks, fixed infrastructure systems, vehicle-mounted arrays, and custom programme architectures.
If you build sensing hardware or platforms, XIcore Engine provides the Extended Intelligence layer your customers need, without building the AI from scratch. We provide SDK access, integration support, and API documentation for qualified programme partners.
If you are procuring a sensing capability for a specific operational requirement, XIcore can scope a deployment architecture around your sensor inventory, communications infrastructure, and threat picture. We work directly with DND/CAF, allied nation programme offices, and prime contractors.
Stouffville, Ontario, Canada
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PROUDLY CANADIAN · DUAL-USE TECHNOLOGY