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Services

Four disciplines,
one standard of rigour.

We design, train and test machine learning models for startups, research labs and small teams. Every engagement has a defined metric and a written result.

01

Custom Model Builds

  • Tabular prediction
  • Computer vision
  • Time series & biosignals
  • Small LLM fine-tuning
02

Testing & Evaluation

  • Benchmark design
  • Bias & robustness checks
  • LLM evals & red-teaming
  • Audit reports
03

Research & Prototyping

  • Literature reviews
  • Paper reproduction
  • Baselines
  • Feasibility studies
04

AI-Native Features

  • RAG over your documents
  • Agents & automation
  • Model APIs
  • Data pipelines

Approach

Why teams
work with us.

  1. /01

    Research first, then engineering.

    We read the papers and set a baseline before building anything, so every improvement is measured against something real rather than a demo.

  2. /02

    We tell you what we really think.

    If your data can't support the model you want, or a simpler approach would work better, we'll say so during scoping while changing course is still cheap.

  3. /03

    Testing is part of the build.

    Held-out evaluation, failure analysis and robustness checks come with every model. You get the numbers, including the ones you won't like.

  4. /04

    You own everything.

    Code, weights, notebooks and documentation are handed over at the end. No lock-in, no black boxes.