PHYSICAL AI · INDUSTRIAL AI · QUANTUM
Frontier AI and Quantum, engineered for the real world.
We build end-to-end AI systems for physical industries, and bring quantum computing within reach of MSMEs.
- Sensor to cloud, one team
- Edge-first, offline-capable
- Benchmarks before claims
THE iQ EQUATION
The name is the thesis.
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
Two halves of the same engineering problem.
One side makes machines perceive and act. The other makes hard planning problems tractable. Both ship as working systems.
WHAT WE BUILD
Five build types, one delivery model.
Each starts with a measured baseline and ends with a system your own team can run.
Physical AI & Edge
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
- 01Inference on-device, no cloud round-trip
- 02Deterministic latency budgets you can audit
- 03Runs on the hardware your plant already has
Physical AI & Edge
TODO: final artwork
END-TO-END CUSTOM AI
We own the stack from sensor and silicon to cloud.
Six stages, one accountable team. No handoff between a data vendor, a hardware shop and an integrator.
Scroll sideways to see all six stages.
INDUSTRIES
Built for places where downtime has a price per minute.
Eight sectors we know well enough to argue with your engineers about.
Qu · QUANTUM FOR MSMEs
Quantum computing, without buying a quantum computer.
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.
Why now
Cloud QPUs are rentable by the minute, and quantum-inspired solvers already run on classical hardware. You can test the approach without buying anything.
Why MSMEs
Mid-sized manufacturers and logistics firms sit on exactly the combinatorial problems these methods target — and plan them in spreadsheets today.
How it works
Hybrid quantum-classical pipelines, quantum-inspired algorithms, and cloud QPU access. The classical fallback always stays in the loop.
Start with the readiness assessment
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.
- Cloud QPU access, billed by usage
- Quantum-inspired solvers on your existing servers
- Classical fallback always in the loop
PROOF & LABS
Work in the field, and work on the bench.
Case studies below are placeholders until client approvals are in writing. Labs tracks are real and ongoing.
Surface defect inspection on a high-speed press line
TODO: replace with real case study. Edge vision system on existing line cameras, classifying four defect classes at line rate.
TODO: replace with real case study
Vibration-based early warning across a pump fleet
TODO: replace with real case study. Retrofit sensor kit plus per-asset anomaly models feeding the existing maintenance system.
TODO: replace with real case study
Hybrid quantum solver for multi-depot route planning
TODO: replace with real case study. Quantum-inspired optimisation benchmarked against the incumbent planner on historical orders.
TODO: replace with real case study
WHY aiQu
Four reasons engineering teams pick us.
No channel partners, no reseller margin, no model you cannot inspect after we leave.
Full-stack, silicon to software
Sensor selection, board design, firmware, models, edge runtime and cloud — under one roof. Fewer vendors, fewer integration gaps, one throat to choke.
Engineering-first
We benchmark before we build and publish the numbers internally. If a classical method wins, we ship the classical method and say so.
Built for MSME budgets
Scoped pilots with a fixed price and a decision gate at the end. Cloud QPU access and existing plant hardware instead of capital purchases.
Own-your-IP delivery
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
We work across the stack, not around it.
Vendor-neutral by default. We pick the board, framework and solver that fit the constraint, then document why.
- L1
Silicon & sensors
Embedded SoCs, NPUs, vision MCUs, industrial cameras, vibration and thermal sensors
- L2
Edge runtime
Quantised model runtimes, firmware, OTA update paths, offline buffering
- L3
Models
Vision, time-series, sensor fusion, grounded LLM agents, hybrid and quantum-inspired solvers
- L4
Integration
PLC and SCADA, MES, historian, CMMS, ERP, MQTT and OPC-UA
- L5
Cloud & MLOps
Training pipelines, drift monitoring, fleet management, cloud QPU access
Technology partners
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TODO: replace with real partner marks once agreements are signed
NEXT STEP
Have a hard problem in the physical world? Let's engineer it.
Bring us a line, an asset or a planning headache. We will tell you honestly whether AI, quantum, or neither is the right tool.