Applications

Six industries with the same problem in different clothes

Most problems are forced onto hardware that was never shaped around them. Fixed power budget. Unreliable or absent network. A decision that has to land before the next control cycle. Wherever those three meet, moving weights across a bus stops being affordable.

What the six have in common

No cloud in the loop

Inference completes on the device. There is no upload path to secure, no telemetry to disclose, and no service to keep paying for.

Nothing to reload on wake

Weights are non-volatile and live in the array. A node can sleep for days and be ready on the first sensor event.

Degrades, does not die

Work is distributed across many small arrays. A damaged region costs precision in one place instead of taking the system down.

Sits beside what you have

The engine is a co-processor on your existing MCU or SoC. It takes the perception workload; your host keeps the application.

Automotive

Perception that stops when the connection stops is not perception.

Perception that keeps working when the link does not

Sensor fusion, driver monitoring and predictive diagnostics that run inside the ECU on a power budget a vehicle can actually spare, with a wake-up that costs nothing, because the weights never left the array.

The binding constraint
Thermal and power headroom in a sealed enclosure, plus a hard real-time control loop.
What changes
Inference stays inside the vehicle: no upload, no round-trip latency, no connectivity assumption.

Four streams, one decision, one enclosure

The decision, leaving for the actuatorFour sensor channels, each at its own rate
Animation of four sensor channels entering a sealed enclosure from the left, each sending at its own rate. Their readings travel down their own lanes and converge on a single hub, which pulses as each one lands and sends one decision onward to an actuator. Nothing crosses the boundary of the enclosure.
  • Camera and radar front-end perception
  • In-cabin driver and occupant monitoring
  • Predictive maintenance from vibration and current signatures
  • Always-on wake-word and anomaly detection

Aerospace & Defence

Bandwidth is narrow, latency is long, and the connection may be jammed or gone.

Autonomy for platforms that are on their own

On-board processing for airborne and orbital systems where the downlink is narrow, contested or absent, and where a single-event upset must degrade the answer, not end the mission.

The binding constraint
Severe power and mass budgets, radiation environment, no operator in the loop.
What changes
Distributed tiles degrade gracefully instead of failing hard, and nothing needs to be transmitted to be understood.

A strike, and the answer that survives it

The answer, degraded rather than endedA single-event upset, arriving
Animation of a five-by-five grid of tiles computing together, their brightness rising and falling. Three times, a particle streaks in from off-frame and strikes a tile, which flares and then goes dark for good. A bar beneath the grid shows the answer: it dips at each strike and settles slightly lower, and never falls to nothing.
  • On-board image triage before a constrained downlink
  • Guidance, navigation and terrain-relative perception
  • RF and acoustic signature classification
  • Health monitoring across long unattended deployments

Robotics & Physical AI

A robot that has to ask a server what it is looking at reacts too late.

A control loop that closes in the robot

Reflex-rate perception and control for manipulators, mobile robots and drones, where a decision that arrives 200 ms late is not a decision at all.

The binding constraint
Battery-limited duty cycle and a control loop measured in milliseconds.
What changes
Perception, adaptation and actuation share one low-power fabric on the robot itself.

The gap, closed every cycle

The correction, and the error it leavesThe target, moving on its own
Animation of a target moving along a wandering path with an effector following it closely. A short line between the two shows the gap being closed, and a trace along the foot of the frame shows that gap over the last few seconds, staying near the baseline with small rises when the target changes direction.
  • Tactile and proprioceptive sensing at reflex rates
  • Visual servoing and obstacle avoidance
  • On-device adaptation to wear, payload and surface change
  • Multi-agent coordination between fleet members

Healthcare & Medical Devices

A monitor that uploads a patient in order to decide has already made the decision somewhere else.

Continuous monitoring that never uploads a patient

Wearable and implantable devices that classify physiological signals on the device, where privacy is a property of the architecture rather than a clause in a policy document.

The binding constraint
Years of battery life, strict biocompatible thermal limits, and regulated data handling.
What changes
Raw physiological data never leaves the patient, which removes an entire class of compliance surface.

Classified where it is measured

Every beat classified, and the reserve it costsThe signal, which never leaves
Animation of a physiological waveform scrolling steadily across the frame, with each heartbeat marked by a small dot above it as it is classified. At the right, a tall bar shows the remaining energy reserve, marked off in years, and it barely moves over the whole sequence.
  • ECG, EEG and EMG classification on-device
  • Continuous glucose and vitals trend detection
  • Hearing and prosthetic signal processing
  • Point-of-care diagnostic instruments

Industrial & Energy

Most of what a sensor sends is routine. Only the exception matters.

Condition monitoring on machines that were never networked

Retrofit intelligence for factory floors, grid assets and remote infrastructure. Nodes that run for years on a harvested or battery supply and report an event, not a stream.

The binding constraint
No reliable network, no maintenance access, and a decade of expected service life.
What changes
The node ships a conclusion over a narrow link instead of hauling raw signal to a data centre.

A sideband, where there was none

The conclusion, and the narrow link it takesThe signature, watched continuously
Animation of a vibration spectrum drawn as a row of bars, with a strong fundamental and its harmonics. A bar beside the fundamental grows from nothing until it crosses a dashed threshold line, at which point single marks travel from it to a narrow channel at the right edge. Only those marks make the journey; the rest of the spectrum stays where it was measured.
  • Vibration, acoustic and thermal anomaly detection
  • Motor and bearing failure prediction
  • Quality inspection at the machine
  • Grid and pipeline edge telemetry

Consumer & IoT

A device that senses continuously is judged not only by how fast it responds, but by how efficiently it waits.

Always-on intelligence inside the device

Wake-word, presence, gesture and context awareness that stay on continuously without the power draw or the privacy cost. Because the array is transparent, it can sit behind the display.

The binding constraint
Bill-of-materials pressure, tiny thermal envelope, and unforgiving battery expectations.
What changes
Features that previously required a cloud round-trip become local, instant and private.

Sensing through the screen in front of it

The array, lit through the displayPresence, arriving from outside the glass
Animation of a screen with faint content on it and a grid of array cells visible behind the whole of it. A hand approaches from beyond the right edge; the cells nearest it brighten through the screen as it comes closer, and an indicator in the corner of the screen lights once it is seen.
  • Always-on keyword and audio scene detection
  • Presence, gesture and gaze sensing
  • On-device personalisation that never syncs
  • Display-integrated sensing

Not on the list

Your application probably still fits the same shape

If your workload is dominated by matrix-vector products, runs continuously on a constrained supply, and cannot depend on a network round-trip, it belongs in this set. Whatever the industry is called. An evaluation will tell you within weeks, including when the answer is no.

Working at the limits of conventional computing? Discuss your workload.

Tell us what the workload has to do, and where it has to run. An evaluation starts there, with your power envelope and your deadline, not with a datasheet.