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AI & Machine Learning

AI is most useful when it is embedded in a product people already use. We build AI-assisted features and automation that save real time, and we approach research questions with the same engineering discipline as any other system.

What we do

What’s included

  • AI-assisted product features

    Drafting, review, summarisation and search inside your application, as in our ContractOven work.

  • Conversational AI

    Agents tailored to a business or campaign, connected to your CRM and channels.

  • Workflow automation

    Multi-channel messaging, lead handling and back-office tasks automated with AI in the loop.

  • Applied machine learning

    Model selection, training and evaluation for classification and prediction problems.

  • Interpretable models

    Explainability techniques so people can understand and trust what a model decides.

  • Integration & guardrails

    Prompt design, evaluation, fallbacks and human review for dependable output.

$ stack --list

Tools we reach for

  • Python
  • OpenAI
  • FastAPI
  • Machine learning
  • AWS Lambda
  • Node.js

How it runs

Three steps, no surprises

  1. 01

    Find the right problem

    We test whether AI genuinely beats a simpler approach.

  2. 02

    Prototype and evaluate

    Quick experiments measured against real examples.

  3. 03

    Productionise safely

    Monitoring, guardrails and human oversight.

Good questions

AI & Machine Learning: FAQ

  • Do we need AI for this?

    Sometimes a rules engine or a better search is enough. We tell you plainly and only recommend AI where it earns its place.

  • How do you handle sensitive data?

    We minimise what is sent to models, choose providers with appropriate terms, and design review steps for high-stakes output.

  • Can you add AI to an existing product?

    Yes. Most of our AI work is adding a focused capability to an existing application.

Let’s talk

Have a project in mind?

Tell us what you want to build, when you need it and what it can cost, and we will say honestly whether we can help.