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Machine Learning & Computer Vision · Portfolio

Machine learning measured on data it has never seen.

We train prediction models and computer vision systems, test them honestly on unseen data, and deliver them as simple tools, reporting where they are strong and exactly where they fail.

For teams that want to predict, classify or detect something, and need to trust the answer.

projects
6projects
live online
4live online
industries
3industries

01Selected work

Work we've shipped.

The strongest projects first. Each opens a case study with the problem, what we built, screenshots and results.

In-house buildVerified

Multi-disease risk screening model

MAUK R&D · applied machine learning

Risk scores for ten conditions from 25 routine measurements, trained on 281,000 records and private enough to run on the patient's own device.

  • Ten conditions scored at once, each with a confidence figure
  • 25 inputs across demographics, vital signs, lab results and lifestyle
  • Five ready-made patient profiles for quick testing

86.88%accuracy on patient records the model never saw

Read the case study
  • ResearchVerified

    Road-scene object detection on BDD100K

    MAUK R&D · computer vision

    A road-scene detection model trained from scratch on 70,000 images with a laptop GPU, and an honest account of where it struggles.

    0.575detection accuracy (mAP50) on 10,000 unseen images

    Machine learning

    View project
  • Live
    In-house buildVerified

    SpamShield email classifier

    MAUK R&D · applied machine learning

    A spam classifier built from first principles that explains every verdict it gives.

    83.8%accuracy on 920 emails the model never saw

    Machine learning

    View project
  • In-house buildVerified

    Exam score prediction system

    MAUK R&D · applied machine learning

    From a student dataset to a working predictor: two models compared honestly, and the one that won shipped.

    0.617fit on students the model never saw (R²)

    Machine learning

    View project
  • Demo buildVerified

    CLAW & CO. AI virtual try-on

    MAUK showcase store for beauty & nail brands

    Shoppers see the set on their own hand before they buy.

    AI agents · E-commerce · Machine learning

    View project
  • Live
    Demo buildVerified

    Customer purchase likelihood demo

    MAUK demo build · retail conversion scoring

    A retail scoring interface that shows its reasoning: five sub-scores, one verdict, and the customer signals behind each.

    Machine learning · Custom software

    View project

02Problems we solve

Sound familiar?

If any of these describe your week, the work above is the proof we can fix it.

  1. 01

    You have data but no way to turn it into predictions

  2. 02

    A single accuracy figure hides the mistakes that matter

  3. 03

    Images or video still have to be checked by hand

  4. 04

    Running a model costs more than it should

03What you get

What a project with us includes.

  • Prediction & scoring models

    Models that score risk, predict outcomes or classify messages.

  • Computer vision

    Detection and tracking in images and video, tested in hard conditions.

  • Explainable results

    Every prediction comes with the reasons behind it.

  • Honest evaluation

    Accuracy reported on unseen data, broken down by the cases that matter.

Industries this work has shipped in

Prior work

Our engineers have also delivered.

Systems our engineers built in earlier roles. The clients are confidential, so there are no screenshots, and these are not presented as MAUK client projects.

  • Prior work · client confidential

    Computer vision

    The client's system is not shown

    Prior work

    Sports ball-tracking computer vision

    Prior work · national cricket body (confidential)

    Computer vision that follows a small, fast ball across broadcast frames.

    Machine learning

    View project

How we work

From first call to working software.

Technical detail on any project above is shared in a call, once we understand what you're building.

  1. 01

    Discover

    We learn your business and your constraints, and find where software or AI will pay off first.

  2. 02

    Design

    We shape the solution with clear milestones and success measures, agreed before the build starts.

  3. 03

    Develop

    We build in short cycles and show working software as we go, so there are no surprises at the end.

  4. 04

    Deploy & scale

    We launch, watch how it is used, and keep improving it with you as the business grows.

Start a conversation

Tell us what you want to predict or detect.

Tell us what you're trying to build. We'll reply with how we'd approach it, and which of the projects here are closest to it.

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