Intelligence you can deploy, not just demo.
AI becomes valuable when it is attached to a sensor, a decision and an action. We build the surrounding system so the model has good data to work with and a useful job to do.
The problem on the ground.
We start with what goes wrong today, not with the technology.
Models without a job
Impressive notebooks that never reach a device or a decision.
Cloud costs and latency
Every call back to a data centre adds cost and delay.
Data that does not look like your site
Stock datasets fail in local light, local objects and local noise.
What we design around.
— Models sized to the target hardware.
— Local data collection and labelling.
— Offline-capable by default where the use case allows.
— Measured, reported accuracy with false alarms and misses included.
Relevant systems and projects.
Each one carries its real status, so you know what is built, trialled or still an idea.
AI computer vision
Detection, classification and monitoring on edge hardware.
Explore ↗DEVELOPMENTLocal-AI smart home (RAIVA)
Language-model control that runs on the home hub, not in the cloud.
Explore ↗OFFEREDCustom AI and automation
AI-enabled workflows and applications for business operations.
Explore ↗How we work in this sector.
Understand the operation
We visit, observe and listen before we specify anything.
Prototype against reality
Early builds go into the real environment, with its heat, dust, power and people.
Measure and report
Results are documented, including what did not work.
Prepare for use
Documentation, serviceability and a clear statement of what production would need.