AI systems that survive contact with production.
We build computer vision, voice and agent systems end to end — training the models ourselves where it matters, holding them to the discipline automotive safety work demands, and staying deployed alongside your team until the thing is live and load-bearing.
Selected clients
Capabilities
Ten disciplines, one team.
The range is deliberate. Perception, speech, control, safety and the software they live inside are the same problem seen from different sides — and shipping one usually means owning the others.
- 01
Computer Vision
Detection, segmentation, tracking and multi-camera perception built for the conditions they actually run in — poor light, motion blur, cheap sensors. Trained, quantised and shipped to the edge, not left in a notebook.
Detection & segmentationMulti-object trackingVLMsEdge & TensorRT - 02
Foundation Models
Pre-training new architectures from scratch when the domain has no good base model, and fine-tuning open weights when it does. Data strategy, tokenisation, training runs, evaluation harnesses and distillation down to something you can afford to serve.
Pre-trainingFine-tuning & LoRADistillationQuantisation - 03
Voice AI
End-to-end custom voice systems: streaming speech recognition, speaker diarisation, and text-to-speech in a voice you own rather than rent. Built for real-time conversation, with latency budgets held under barge-in and interruption.
Real-time ASRCustom TTS voicesDiarisationTelephony pipelines - 04
Robotics Platforms
Wheeled and mobile robots taken end to end — chassis and drivetrain bring-up, sensor fusion, SLAM, navigation and the autonomy stack on top. One team from the motor controller to the fleet dashboard.
SLAM & localisationNavigationSensor fusionROS 2 - 05
ADAS & Perception
L2+ driver-assistance perception: camera and radar pipelines, free-space and lane estimation, object and VRU detection, and the optimisation work needed to fit all of it inside an automotive-grade compute budget.
Camera & radar fusionLane & free-spaceVRU detectionEmbedded inference - 06
Automotive Safety & Compliance
Functional-safety engineering for systems that carry people. Hazard analysis and risk assessment, ASIL decomposition, safety cases and the traceability that survives an audit — applied to machine-learning components, not just classical software.
ISO 26262ASIL decompositionHARA & safety casesSOTIF - 07
Testing & Validation
Proving the system works before the field does it for you. Scenario libraries, replay and regression on recorded drives, hardware- and software-in-the-loop rigs, and metrics that reflect failure modes rather than leaderboard scores.
HIL & SILScenario coverageData replayRegression suites - 08
AI Agents & Agentic Workflows
Agents that do enterprise work instead of demoing it: tool use against real systems, multi-step workflows with checkpoints a human can inspect, guardrails, evaluation, and a cost profile that stands up at production volume.
Tool-using agentsWorkflow orchestrationEvaluationGuardrails - 09
Enterprise Knowledge Graphs
Turning scattered company data into a graph that answers questions. Entity resolution across systems, relationship modelling, and retrieval that agents and people can both query — so the answer comes with its provenance attached.
Entity resolutionGraph modellingHybrid retrievalGrounded answers - 10
Software & Forward-Deployed Engineering
Full-stack product engineering around the models: web and mobile apps, enterprise back ends, e-invoicing and accounting systems with the compliance detail handled. Delivered forward-deployed — embedded with your team until it is live and load-bearing.
Full-stack appsEnterprise back endsE-invoicingAccounting systems
How we work
Four commitments we don’t bend.
Own the weights
Where it matters, we train the model rather than renting someone else's. You keep the weights, the data and the ability to switch providers.
Ship to the constraint
A model that misses the latency, VRAM or unit-cost budget has not shipped. The constraint is part of the spec from day one, not a surprise at integration.
Safety-critical habits
Traceability, hazard analysis and validation rigs come from automotive work. We bring those habits to systems that never see a car.
Forward-deployed
We sit inside your workflow until the thing is live, load-bearing and understood by the people who now own it.
Have something that needs to actually work?
Tell us the constraint you’re stuck against — the latency budget, the accuracy floor, the compliance gate. We’ll tell you honestly whether we’re the right team for it.