AI and automation, scoped and measured.

We help businesses use AI where it earns its place: reading documents, answering from company knowledge, moving work between systems and inspecting with cameras. Every project starts with one clear problem and a way to measure success.

What we buildBook a call
A typical AI pilotAbout 4 weeks
  1. Week 1BaselineMeasure how the process works today
  2. Weeks 2 to 3BuildOne process, on your real data
  3. Week 4TestAgainst a fixed set of real cases
  4. ThenDecideGo or no-go, based on the numbers
OutcomeA measured result, not a demo

What we build

If a simple rule, a better form or a small integration solves your problem, we will tell you. AI is used only where it beats the simpler option.

  • Document processingRead invoices, forms, contracts or reports, pull out the fields you need and send exceptions to a person.
  • Knowledge assistantsAnswer staff or customer questions from your own documents and data, with a link to the source.
  • Workflow automationMove work between your systems, route approvals and handle the routine steps, with people approving what matters.
  • Computer visionInspect, grade or count from camera images, to make quality checks faster and more consistent.
How a pilot runs

Small, measured, then decide.

A pilot takes about four weeks when we have timely access to data, people who can answer questions, and agreed acceptance criteria. Complex integrations can take longer, and we will say so up front.

  1. BaselineWe measure the process as it works today: time, errors and cost.Week 1
  2. BuildA small working version on one process, using your real data.Weeks 2 to 3
  3. TestChecked against a fixed set of real cases, with the results written up.Week 4
  4. DecideA clear go or no-go. If it is a go, we plan the full rollout.After the pilot
Safeguards

Built in, not bolted on

The AI features we build follow the same rules as the rest of your software.

  • People approve what mattersPayments, records and anything customer-facing wait for a person to approve them.
  • Answers show their sourceAssistants link to the document they answered from, so people can check.
  • Same access rulesThe AI can see only what the person using it is allowed to see.
  • Tested before releaseEvery version is checked against the same fixed test set before it goes live.
  • Running costs watchedWe track usage costs and set limits, so there are no surprise bills.
  • Your data, your termsWhich providers and settings are used is agreed with you, in line with your security and data policies.
Relevant experience

Computer vision for seed quality

From a team member's previous role. See more on the Work page.

Agriculture, applied AI

Computer vision that grades seed quality

The problem
Inspectors sorted seeds by eye, slowly and inconsistently.
Our contribution
Computer vision engineering. Built a camera rig that photographs both sides of each seed and trained a model to separate pure from impure seed, and discoloured from broken.
  • ~92% accuracy
  • 50,000+ labelled images
  • ~60% less manual inspection
Relevant capabilitiesImage capture, model training and evaluation, inspection workflows

Have a process AI could help with?

Describe it in a few lines. We will tell you honestly whether AI is the right tool, and what a measured pilot would involve.

Book a 30-minute callSee what we build