Custom AI Models

When Off-the-Shelf
Will Not Do

Some problems are too specific for a general model — your terminology, your edge cases, your formats. We tune on your examples and hold back a test set, so accuracy is measured rather than claimed.

Tuned On Your Examples Accuracy Measured, Not Claimed Deployed Where You Want It
A team building a model around one business and its language
Bespoke

When Off-the-Shelf Will Not Do

Some problems are too specific for a general model — your terminology, your edge cases, your formats. We tune on your examples and hold back a test set, so accuracy is measured rather than claimed.

  • Tuned on your own labelled examples and domain language
  • Measured against a held-out set you can inspect
  • Deployed where it belongs — your cloud or ours
  • Retrained on a schedule as your data shifts
Your data Tuning epochs Your model 96.4% on held-out set

How It Runs In Your Business

How a model is trained and proven, what the first month with us looks like, and where a bespoke model earns its keep in your sector.

How it works

  1. The problem is framedWhat counts as right, what counts as wrong, and what level of accuracy is worth paying for.
  2. Your examples are labelledA training set is built from your data, with a test set held back and never trained on.
  3. The model is tuned and measuredReported against that held-out set, class by class, so weak spots are visible rather than averaged away.
  4. Deployed and watchedIn your cloud or ours, with drift monitoring and a retraining schedule.

How we deploy it in your business

  1. Feasibility Week 1An honest read on whether your data can support the accuracy you need.
  2. Labelling Weeks 2–3Done with your subject experts, because only they know the edge cases.
  3. Train and evaluate Weeks 4–6Iterated until it clears the bar you set — or we tell you it cannot.
  4. Deploy with monitoring OngoingVersioned, logged and retrained on a schedule as your data shifts.

What it looks like in your industry

Mining and resourcesDefect and grade classification from inspection imagery.
AgricultureYield and quality grading from field and sensor data.
ManufacturingVisual inspection tuned to your own defect classes, not a generic set.
Specialist servicesDocument classification in your own terminology and formats.

A Model That Speaks Your Language

Bring us the problem a general model keeps getting wrong. We will tell you whether fine-tuning is the answer, how many examples it would take, and how we would prove it works.