PHYSICAL AI · INDUSTRIAL AI · QUANTUM
We build end-to-end AI systems for physical industries, and bring quantum computing within reach of MSMEs.
THE iQ EQUATION
Two disciplines, one lab. Put the halves together and the result is already spelled out.
Artificial Intelligence
Frontier models applied to machines, lines and fleets — not slide decks.
Quantum
Hybrid and quantum-inspired methods an MSME can run on real workloads.
Engineered Intelligence
One accountable team across sensors, silicon, models and cloud.
TWO VERTICALS, ONE LAB
One side makes machines perceive and act. The other makes hard planning problems tractable. Both ship as working systems.
WHAT WE BUILD
Each starts with a measured baseline and ends with a system your own team can run.
Perception and decision-making that run on the device: smart cameras, robots, drones and machines. Sensor fusion feeds a model; the model closes a control loop in milliseconds.
Outcomes
END-TO-END CUSTOM AI
Six stages, one accountable team. No handoff between a data vendor, a hardware shop and an integrator.
Scroll sideways to see all six stages.
IN THE FIELD
Schematics of the systems we build. Photographs from live engagements replace these as approvals land.
INDUSTRIES
Eight sectors we know well enough to argue with your engineers about.
Qu · QUANTUM FOR MSMEs
The hard planning problems in mid-sized industry are exactly the shape these methods target. Access is now a cloud bill, not a capital project.
Cloud QPUs are rentable by the minute, and quantum-inspired solvers already run on classical hardware. You can test the approach without buying anything.
Mid-sized manufacturers and logistics firms sit on exactly the combinatorial problems these methods target — and plan them in spreadsheets today.
Hybrid quantum-classical pipelines, quantum-inspired algorithms, and cloud QPU access. The classical fallback always stays in the loop.
Eight questions about your planning problems, your data and who would own the result. You get a readiness band and a concrete next step — in your browser, nothing sent anywhere.
ON THE BENCH
Client engagements are under NDA until a reference is approved. Our own R&D is not — here is what is running now.
How small can a usable defect classifier get before accuracy falls off a cliff?
Quantisation and distillation experiments targeting vision MCUs, profiled on-device rather than estimated. The accuracy-versus-power curve is being written up.
Can a cheap microphone array replace a contact vibration sensor for early fault detection?
Bench rig with induced bearing faults, comparing acoustic and accelerometer baselines across load conditions. Rig design and dataset to follow.
Can synthetic defects cut the labelled data a new SKU needs?
Procedural and generative defect synthesis, evaluated by how much real labelled data it displaces at fixed accuracy. Results in review.
WHY aiQu
No channel partners, no reseller margin, no model you cannot inspect after we leave.
Sensor selection, board design, firmware, models, edge runtime and cloud — under one roof. Fewer vendors, fewer integration gaps, one throat to choke.
We benchmark before we build and publish the numbers internally. If a classical method wins, we ship the classical method and say so.
Scoped pilots with a fixed price and a decision gate at the end. Cloud QPU access and existing plant hardware instead of capital purchases.
You keep the models, the weights, the source and the data. No per-seat lock-in, no black box you cannot open after we leave.
TECH ECOSYSTEM
Vendor-neutral by default. We pick the board, framework and solver that fit the constraint, then document why.
Embedded SoCs, NPUs, vision MCUs, industrial cameras, vibration and thermal sensors
Quantised model runtimes, firmware, OTA update paths, offline buffering
Vision, time-series, sensor fusion, grounded LLM agents, hybrid and quantum-inspired solvers
PLC and SCADA, MES, historian, CMMS, ERP, MQTT and OPC-UA
Training pipelines, drift monitoring, fleet management, cloud QPU access
NEXT STEP
Bring us a line, an asset or a planning headache. We will tell you honestly whether AI, quantum, or neither is the right tool.