Distributed AI Engine for VPX Mission Computers

HEX connects VPX mission computers into a distributed processing system that runs large-scale AI models across multiple nodes. Each unit processes local sensor inputs and exchanges only the relevant feature-level data needed by other nodes, keeping inter-node traffic compact enough to stay synchronized even when links are intermittent. This eliminates dependence on reach-back processing and enables target recognition, sensor fusion, and autonomous coordination to run in real time directly on tactical platforms.

/ FEATURE 1

Scale beyond the single-box ceiling

HEX distributes inference across multiple VPX nodes so the platform behaves like one coordinated compute fabric. Instead of constraining models to what fits on a single mission computer, HEX allows large-scale AI workloads to span the network, unlocking higher-capability perception and reasoning at the edge.

/ FEATURE 2

Feature-level exchange keeps traffic compact

Each node runs local processing on its own sensor inputs, then shares only intermediate features that other nodes need. This reduces inter-node traffic compared to raw video or sensor streaming, helping the system stay synchronized and useful even when bandwidth drops or connectivity is intermittent.

/ FEATURE 3

Designed for intermittent links and real-time synchronization

HEX is built to keep multi-node AI operating when tactical links degrade. Because nodes exchange compact, relevant features rather than raw data, the system can maintain coordination and timing under jitter, loss, or disruption, rather than failing when the network is imperfect.

/ USE CASES

See how HEX delivers capability under real constraints

Distributed target recognition on tactical platforms

Run target recognition directly across mission computers on vehicles, aircraft, or unmanned systems. Each node processes local sensors and shares features to improve detection quality and consistency without streaming raw feeds.

Multi-sensor fusion at the point of need

Fuse EO/IR, radar, and other sensor modalities across nodes in real time. HEX enables sensor fusion pipelines that remain operational without reach-back, supporting faster classification and higher-confidence tracks on-platform.

Autonomous coordination across multiple assets

Enable cooperative autonomy where multiple platforms share only what they need to coordinate. HEX supports synchronized perception and decision pipelines across nodes to improve teaming, deconfliction, and shared situational awareness.

Contested-connectivity edge AI operations

Maintain AI capability when comms are constrained or intermittent. HEX’s feature-level exchange reduces bandwidth demands and helps preserve multi-node timing and usefulness even when links cannot support raw data streaming.

Run large-scale AI at the point of need with HEX

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