Twelve years building what the Department of Defense and the Department of Energy ask for and cannot buy. Machine learning, cybersecurity, hyperspectral imaging, synthetic aperture radar, signal processing, metamaterials and hypersonics.
Federal program offices bring us problems that have no answer yet. The work spans radar and signal processing, machine learning, cybersecurity and materials — find an answer, then engineer it into something that survives contact with the real world. In government work you cannot be a single-focused company.
Real-time network defense and source-code vulnerability detection
2 programsHyperspectral detection of UAVs and concealed contraband
2 programsElectrochemical recovery and low-flammability composites
2 programsMetamaterial surfaces for infrared beam control
2 programsMulti-sensor object detection and tracking
1 programGround-based detection on neuromorphic hardware
1 programVerification and validation of fielded models
1 programWeapons separation evaluation toolsets
1 programReal-time synthetic aperture radar simulation
1 programReal-time network defense on a hybrid deep learning engine, deployable on CPU, GPU or low-power neuromorphic silicon.
A second layer of defense that runs alongside the tools already in place, built to reduce the likelihood of an intrusion succeeding and to surface the ones that do sooner.
One product line, from real-time network defense through to source code.
Real-time network intrusion detection on a hybrid supervised and unsupervised deep learning engine, deployable on CPU, GPU or neuromorphic silicon.
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Automated HPC-scale network anomaly monitoring and autonomous threat mitigation.
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AI-driven source code vulnerability detection, trained on mission-critical repositories.
Read more →Major programs running with the Navy, the Air Force, DARPA, the Missile Defense Agency, Homeland Security and the Department of Energy, alongside Lockheed Martin and the national laboratories.
Recovers gold, copper and other constituents of value from electronic waste electrochemically and at room temperature. 25% higher recovery, 75% less chemical reagent, 30% lower water and electrical cost, and no toxic emissions. Commercialised as E-RECOV.
Idaho National Lab · Colt Refining
A simulator that generates synthetic aperture radar imagery in real time, so detection and classification models can be trained and evaluated against scenarios that are impractical or too expensive to fly.
Lockheed Martin · Dr. Andrew Willis
The programme CyberNeuro-RT came out of. A hybrid supervised and unsupervised deep learning ensemble for network intrusion detection, ported to neuromorphic silicon so inference runs at a fraction of the power a GPU needs.
Pennsylvania State University
Static and learned analysis of source repositories to surface exploitable defects before code ships, trained against mission-critical codebases. Commercialised as CNRT CodeLens.
Lockheed Martin · U. Wisconsin–Madison
Detects and classifies small uncrewed aircraft from hyperspectral imagery, using spectral signature rather than shape, so targets that defeat conventional optical tracking are still resolved.
Lockheed Martin · Bodkin Design
Methods for establishing that a trained model behaves within specification before it is fielded, addressing the assurance gap that keeps machine learning out of safety-critical defence systems.
North Carolina State University
Detection and tracking of hypersonic threats from ground-based sensors, with inference on neuromorphic hardware to hold the latency budget that the closing speeds demand.
Lockheed Martin · University of Florida
Identifies concealed contraband by spectral signature at ports of entry, with on-sensor neuromorphic inference so screening runs at the speed of the queue.
Lockheed Martin · Bodkin Design
Engineered metamaterial surfaces on micromirror arrays that steer and shape infrared beams without moving bulk optics, reducing the size, weight and power of the assembly.
Duke University
A sensor that performs part of the recognition task in the optics themselves, using metamaterial elements, so less computation is required downstream of the focal plane.
Lockheed Martin
Fuses several dissimilar sensors into a single track picture, holding identity across handoffs where any individual sensor loses the object.
Dr. Raktim Bhattacharya
Modelling tools for evaluating store separation from an aircraft, replacing part of a test campaign that is otherwise flown.
Dr. Raktim Bhattacharya
A curated database and learned models relating composite formulation to flammability, so candidate materials can be screened before they are manufactured and burned.
Richard E. Lyon
A multifaceted operation. In government work you cannot be a single-focused company.
Quantum Ventura Inc.
Operations
Quantum Guru · Unit R40, Burjuman
Distribution and support
Engineering
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