Solutions

Real-world AI

AI that sees, reads, predicts and acts inside your operation, connected to the cameras, sensors, documents and systems you already have. Every solution starts as a four-week pilot on your own data.

Vision & inspection AI

Cameras plus models that check parts, read labels and gauges, count and sort, and send a pass or fail signal to the machine that needs it.

Where it's used

  • Spotting defects on parts, boards and packaging
  • Reading meters, gauges, serial numbers and labels (OCR)
  • Counting, sorting and measuring
  • Safety zones around machines and vehicles

Built on our work in: embedded prototypes, camera and OpenCV projects, relay and control boards

AI on machine & sensor data

Models that watch the data your instruments, PLCs and sensors already produce, and tell you when something is drifting before it fails.

Where it's used

  • Flagging abnormal vibration, temperature or pressure
  • Predicting maintenance before a breakdown
  • Catching quality drift during test runs
  • Forecasting energy use and load

Built on our work in: a modular LabVIEW data acquisition platform, PLC/SCADA operator screens, signal processing

Document & engineering AI

Pipelines that read the engineering paperwork your team wades through and turn it into structured, checked data, with a person approving the result.

Where it's used

  • Building material lists from submittals and spec sheets
  • Checking documents against standards and requirements
  • Extracting data from drawings and STEP/CAD files
  • Summarising test reports and logs

Built on our work in: a STEP CAD analysis library for .NET, commercial plumbing submittals, Sage 100 reporting

AI agents for operations

Assistants that do real work inside the tools you already use, such as email, ERP and internal systems, with a person approving anything that matters.

Where it's used

  • Sorting and answering routine email and requests
  • Drafting quotes and reports from your own records
  • Answering staff questions from internal documents
  • Updating records with an approval step and a log

Built on our work in: Outlook customisation, Sage 100 reporting, custom business software

AI infrastructure & private models

The plumbing under AI: fast GPU processing, models deployed where your data lives, and costs you can predict.

Where it's used

  • Running models on your own servers or edge devices
  • Speeding up processing with CUDA
  • Sealed appliances that run AI on site
  • Setting up GPU machines on Azure or AWS

Built on our work in: CUDA and Go GPU processing for an AI company, a locked-down Linux appliance, an Azure GPU setup

Start a project

Not sure which one fits?

Describe the problem, not the technology. We'll tell you whether AI is the right tool, what a pilot would prove, and what it would cost.