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.
Real-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.
Three programs in RF sensing, navigation and radar autonomy.
A compact onboard sensing package that locates and identifies radio-frequency emitters from unmanned aircraft, holding its accuracy in cluttered signal environments.
A compact phased-array system that uses existing radio transmissions as navigation references, giving fast-moving vehicles an independent source of position data.
A low-cost radar sensing approach that gives autonomous vehicles perception and navigation where cameras and lidar fall short, in darkness, dust and poor light.
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.
An automated screening campaign that searches high-entropy alloy compositions for high-temperature strength and oxidation resistance together, narrowing a very large candidate space down to a shortlist worth making and testing.
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
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.
Electrochemical recovery and low-flammability composites
3 programsReal-time network defense and source-code vulnerability detection
2 programsHyperspectral detection of UAVs and concealed contraband
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 programRadar and signal processing, real-time synthetic aperture radar simulation
1 programA 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
We reply from San Jose, usually within two working days.
