Quantum Ventura

Multi-domain AI/ML R&D from inception to commercialization.

An AI research company. 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.

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CyberNeuro-RT

Real-time network defense that learns your network instead of memorising someone else's.

Discovium

Placeholder. Materials discovery for high-entropy alloys.

One product line, end to end.

Real-time network defense through to source code, plus the materials and mobile-security work that came out of the same research floor.

Flagship · Network defense

CyberNeuro-RT

Real-time network defense that learns what ordinary traffic looks like on your network, then tells you the moment something stops fitting that picture.

Detection as traffic arrivesScored on the way through rather than in a batch hours later, so a response can still matter.

Runs in the core or at the edgeOne engine, whether it sits in a datacentre or on a low-power sensor at a remote site.

A second layer, not a replacementWorks alongside the perimeter tools already in place and catches what gets past them.

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CyberNeuro-RT · Sensor 04

LIVE

Throughput1.41Gb/s sustained

Anomaly score0.02Within baseline

Sensor draw4.1Watts, neuromorphic

Traffic, last 5 minutes Learned envelope

Event stream

ReconOutbound volume within learned envelopeCLEARED

FlowFlow to egress agrees with learned profileCLEARED

ModelModel checkpoint rolled forwardUPDATED

EdgeEdge sensor reported inSYNCED

Runs a scripted detection and containment

Mass file-encryption pattern

Segment B · host 10.4.22.8

Contained

Detected13:42:00.774

Files touched1,284

Encrypted0

ActionIsolated

Why it was flagged

A single host began reading and rewriting files across three shares at a rate no user on this network has ever produced. No signature was involved. The host was isolated before any file was written back in an encrypted state.

Deviation from profile96%

Against 41 days of learned behaviour

Analyst confirmation18%

Awaiting review of the contained host

On mass-encryption patternIsolate host, lock shares

On credential reuseAlert analyst, no automatic action

On unknown destinationRate-limit, then alert

Analyst overrideAlways available

Containment runs on detection for patterns you have marked automatic. Everything else waits for a person. The policy is yours, not ours.

DevSecOps · Source analysis

CNRT CodeLens

Finds the defects in your source that an attacker could actually reach, and puts that short list in front of the people who have to fix it.

Ranked by what is reachableTwo exploitable findings beat two hundred theoretical ones nobody will work through.

Reads a repository like a reviewerFollows how the code is actually called rather than pattern-matching on syntax.

Fits the pipeline you already runNo new process to adopt and no separate system to keep in step.

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CNRT CodeLens · auth/session.c

READY

auth/ session.c token.cnet/ parse.c frame.c

208 size_t need = hdr->len + sizeof(tag_t);

209 if (need > cap) {

210 cap = need;

211 }

212

213 memcpy(buf, hdr->body, hdr->len);

214 buf[hdr->len] = 0;

215

216 return finalize(buf, need);

217}

Reachable

Unchecked bounds on copy path

Length comes from the caller and is used to write before it is compared against the destination size.

213line Highseverity 2call sites

Nine stages, resumable

1Index repositoryqueued

2Resolve dependenciesqueued

3Build call graphqueued

4Multi-lens detectionqueued

5Cluster candidatesqueued

6Verify findingsqueued

7Rank by reachqueued

8Draft remediationqueued

9Export reportqueued

A crash costs one stage, not the scan. An interrupted run resumes from its last checkpoint rather than starting again.

auth/session.c:213

Proposed change, for your review

212

213 - memcpy(buf, hdr->body, hdr->len);

213 + if (hdr->len >= cap) return E_RANGE;

214 + memcpy(buf, hdr->body, hdr->len);

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Detection stops here. Nothing is written to your repository unless you choose it, finding by finding.

Materials discovery

Discovium

Placeholder. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco.

Twelve federal programs, twelve years.

All 12 programs Twelve years of federal work, agency by agency

Major programs running with the Navy, DARPA, the Missile Defense Agency, Homeland Security, the Army and the Department of Energy, alongside Lockheed Martin and the national laboratories.

NAVY

Imaging

Hyperspectral detection of uncrewed aircraft

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.

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A slotted waveguide radar antenna panel on a precision positioner inside an anechoic chamber lined with absorbing foam wedges

NAVY

Synthetic aperture radar

Real-time synthetic aperture radar simulation

Generates radar imagery as fast as it would arrive in the field, so detection and classification models can be trained against scenarios that are impractical or far too expensive to actually fly.

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An electrochemical recovery cell on a bench, copper plating onto an electrode in dark electrolyte beside a tray of shredded circuit board

DOE

Materials

Electrochemical recovery of metals from electronic waste

Recovers gold, copper and other constituents of value from electronic waste electrochemically and at room temperature, with no smelter and none of the emissions handling one needs. Commercialised as E-RECOV.

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Our joint venture

Vulcan Ventura

Three programs in RF sensing, navigation and radar autonomy.

A small fixed-wing unmanned aircraft on a bench with a radio-frequency sensing pod mounted beneath the fuselage

Air Force

RF Emitter Location

A compact onboard sensing package that locates and identifies radio-frequency emitters from unmanned aircraft, holding its accuracy in cluttered signal environments.

A flat phased-array antenna panel, a grid of square copper patch elements with coaxial connectors along one edge

Navy

RF-Referenced Navigation

A compact phased-array system that uses existing radio transmissions as navigation references, giving fast-moving vehicles an independent source of position data.

A compact radar sensor mounted on the chassis of an autonomous ground vehicle in low light and airborne dust

NASA

Compact Radar for Autonomy

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.

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Partnerships