aiQu Labs

WHERE WE WORK

Eight industries where physics sets the deadline.

Our work lives next to machines, vehicles and supply chains. Pick a sector to see concrete starting points.

Talk to an Engineer

  • Manufacturing

    Discrete and process plants where yield, takt time and scrap rate decide the quarter.

    ai · starting points
    • In-line visual inspection and defect classification
    • Cycle-time analytics from machine and PLC data
    • Predictive maintenance on presses, CNCs and conveyors
    • Operator copilots over SOPs and machine manuals
    Qu · starting points
    • Production scheduling across shared machines
    • Cutting-stock and nesting for sheet and coil
    • Changeover sequencing to cut setup time

  • Automotive & EV

    Tier-1 and Tier-2 suppliers, battery lines and vehicle systems with tight tolerance and traceability needs.

    ai · starting points
    • Weld, seal and paint inspection at line rate
    • Battery cell and module defect detection
    • In-vehicle perception and driver-monitoring models
    • Torque and fastening anomaly detection
    Qu · starting points
    • Supplier and inbound logistics optimisation
    • Battery material candidate screening
    • Line balancing across mixed-model assembly

  • Energy & Utilities

    Generation, transmission and distribution assets spread across geography, with long repair lead times.

    ai · starting points
    • Pump, turbine and transformer health models
    • Drone and fixed-camera inspection of lines and panels
    • Thermal and acoustic anomaly detection
    • Load and generation forecasting
    Qu · starting points
    • Unit commitment and dispatch optimisation
    • Grid maintenance crew scheduling
    • Storage charge/discharge planning

  • Logistics & Warehousing

    Yards, docks and warehouses where throughput depends on sequencing decisions made every few minutes.

    ai · starting points
    • Pallet, carton and label reading with OCR
    • Dock and yard occupancy from camera feeds
    • Damage detection at inbound and outbound
    • Dimension and volume estimation
    Qu · starting points
    • Multi-depot vehicle routing with time windows
    • Slotting and put-away optimisation
    • Container and trailer load planning

  • Smart Infrastructure & Security

    Campuses, roads and facilities where cameras already exist but the footage is only reviewed after an incident.

    ai · starting points
    • PPE and safety-zone compliance monitoring
    • Intrusion and loitering detection at the edge
    • Vehicle and licence-plate recognition
    • Crowd density and flow analytics
    Qu · starting points
    • Sensor and camera placement optimisation
    • Patrol and inspection route planning
    • Post-quantum crypto inventory for IoT fleets

  • Agriculture

    Field and post-harvest operations where decisions are weather-bound and labour is the constraint.

    ai · starting points
    • Crop and weed discrimination for targeted spraying
    • Grading and sorting on packhouse lines
    • Livestock monitoring from fixed cameras
    • Yield estimation from drone imagery
    Qu · starting points
    • Harvest and transport scheduling
    • Irrigation and input allocation planning
    • Cold-chain routing for perishables

  • Pharma & Chemicals

    Regulated batch processes where documentation is as important as the product.

    ai · starting points
    • Vial, blister and label inspection
    • Batch record anomaly detection
    • Deviation triage assistants over SOPs
    • Soft sensors for process variables
    Qu · starting points
    • Molecular and formulation candidate screening
    • Reaction pathway exploration on simulators
    • Batch and campaign scheduling

  • Textiles

    Spinning, weaving, dyeing and garmenting, where defects compound down the chain.

    ai · starting points
    • Fabric defect detection on looms and inspection frames
    • Shade and colour consistency checks
    • Stitch and seam quality inspection
    • Machine stoppage and breakage analytics
    Qu · starting points
    • Marker making and fabric nesting
    • Dye-lot batching and sequencing
    • Order allocation across plants

NEXT STEP

Your sector not listed? Describe the process.

The engineering is transferable. If the physics and the constraints are similar, so is the approach.

Talk to an EngineerExplore ai