Intelligence that works
Preparing your next perspective
Compress, quantize and containerize models so they run at full FPS on low-power hardware.
Sensor rate, memory pressure, thermal behaviour and connectivity determine what a field deployment can sustain.
Sensor rate, memory pressure, thermal behaviour and connectivity determine what a field deployment can sustain
Bring useful inference onto constrained devices, balancing model quality with latency, memory, power and reliable field operation.
Profile capture, preprocessing, model execution and downstream actions before choosing a compression technique
Measure the entire path from sensor input to output on target hardware, including preprocessing, inference and postprocessing.
Evaluate quantisation, pruning and runtime choices against an agreed quality baseline.
Plan packaging, updates, rollback and observability for the device fleet and its connectivity constraints.
Measure, adapt, integrate and test on the target device rather than extrapolating from a development machine
Profile the unoptimised model and identify actual bottlenecks.
Compare model and runtime changes against quality and device budgets.
Connect sensors, inference and downstream actions on the target device.
Test sustained operation, failure modes and update recovery.
Deliver the model, runtime settings and maintenance procedures as one operating capability
An optimised artefact with evaluation against the original baseline.
Inference code, build settings and deployment instructions for the target hardware.
Device health signals, update steps and rollback procedures.
Measure quality and responsiveness after the device has warmed up and when dependencies disappear
Run sustained workloads to expose throttling, memory growth and power limits. Compare the optimised model with the original on the same evaluation set. Exercise sensor interruptions, full local storage and loss of connectivity, including recovery after restart.
Plan local operation, safe updates and visibility into devices that are not continuously connected
Separate the functions that must work offline from synchronisation, remote configuration and fleet reporting. Define safe behaviour when sensor input becomes stale or unavailable.
Version model and runtime packages together. Stage rollouts across devices, observe health, and test recovery from a failed or interrupted update before expanding deployment.
Hardware samples and realistic sensor streams reveal constraints that a specification sheet can miss
Resolve a performance bottleneck, bring a model to a new device or prepare a repeatable fleet release
Locate the bottleneck and compare realistic optimisation options before rebuilding the runtime.
Adapt a model and its processing path for a specified device, accelerator and operating system.
Package releases, device diagnostics and staged update procedures for repeatable field operation.
Leave technicians and platform owners with version visibility, diagnostics and recovery instructions
Ask the maintaining team to identify a device version, install a new package and recover an interrupted update using the supplied instructions.
Set expectations through measurements on representative data and target hardware
Where the workflow permits it, local inference can operate without a continuous network connection. Synchronisation and updates are designed separately.
It depends on the model and hardware. We measure trade-offs on representative data rather than assume a fixed reduction.
Profile capture, preprocessing, model execution and downstream actions before choosing a compression technique.
Python
ONNXHardware samples and realistic sensor streams reveal constraints that a specification sheet can miss
Provide the target device and sensor interfaces. Define latency, memory, power and temperature constraints.
Measure quality and responsiveness after the device has warmed up and when dependencies disappear.
Ask the maintaining team to identify a device version, install a new package and recover an interrupted update using the supplied instructions.
Intelligence that works
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