Atlas is the intelligence layer behind the sensors. It turns a whole network of nodes into one picture: classifying what each node hears and feels, resolving on one channel what is ambiguous on another, and handing the operator a short list of calls worth acting on with the evidence attached. It runs at the edge, offline, in the dark, and feeds the command tools operators already have in front of them.

Atlas turns a network of sensors into decisions.

Acoustic, seismic and magnetic signatures are classified on the node and fused across the network into a single picture. Every detection arrives with a confidence figure and a provenance trail, then flows straight into ATAK or a standards-based feed. No cloud round-trip, no bandwidth dependency, and nothing that stops working when the link goes down.

Core Capabilities

Classification

Threat identification from raw sensor data, on the node itself. Acoustic signatures: gunshots, explosions, vehicles, drones, rotorcraft. Seismic and magnetic confirmation. The decision is made where the signal is, not in a datacentre somewhere else.

Fusion

Multi-source correlation. Acoustic, seismic and magnetic detections fuse into one picture, so a signature that is ambiguous on one channel is resolved by another. Every call carries the reason behind it, and false-alert rates are measured against the thresholds you set.

Calibrated confidence

Every detection carries a confidence figure that means something, and the system is built to abstain when the evidence is thin rather than guess. An alert from Atlas is one worth acting on.

Integration

Atlas publishes Cursor-on-Target for ATAK-class tools and a plain JSON stream for everything else. The output lands in the command chain you already run rather than in another screen to learn, and standards alignment is verified on your interface.

Technical Architecture

Edge Processing

Intelligence generated at the source. No cloud round-trip. No bandwidth dependency. Operates in contested, denied, and disconnected environments.

Distributed Computation

No single point of failure. Nodes operate autonomously and share processing load. Network degrades gracefully under attack.

Sensor Fusion

Integrates heterogeneous inputs: acoustic arrays, seismic and magnetic sensors, into a single operational picture. Correlates signals across time and space so one node’s uncertainty becomes the network’s certainty.

Built for the real world

Evaluations run on background activity, hard calls and rights-cleared recordings, not clean laboratory audio. The hard part of sensing is the day it rains, and that is what we test against.

Human in the loop

Atlas recommends, a person decides. Every output is built to be reviewed: what was detected, how confident the system is, and the evidence behind it. Built for operators who are accountable for the call they make.

Evidence Provenance

Every output traces back to its source data. Extraction method, confidence score and relationship chain are all recorded. Built for environments where an output has to survive scrutiny: military command, procurement review, regulatory bodies.