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    Models, pipelines, MLOps.

    AI & Machine Learning

    We take AI from notebook to production: trained, monitored, and earning its keep on real workloads.

    Last reviewed 03 November 2026

    Overview

    What we deliver.

    Production Artificial Intelligence (AI) and Machine Learning (ML) — from data pipelines to model serving — engineered for accuracy, latency, and cost.

    Capabilities

    What you can ask us to build.

    Predictive models

    Forecasting, classification, and recommendation systems.

    Computer vision

    Detection, segmentation, and document understanding.

    Natural language

    Retrieval-Augmented Generation (RAG), summarisation, semantic search.

    MLOps

    Experiment tracking, model registry, monitoring, and continuous training.

    Process

    How we work.

    01

    Frame

    Define the prediction, success metric, and the cost of being wrong.

    02

    Baseline

    Simple model first — earn the right to use the complex one.

    03

    Productionise

    Serving layer, latency budgets, drift monitoring.

    04

    Evolve

    Retraining cadence, evaluation harness, human-in-the-loop.

    Tech stack

    Tools we reach for.

    PythonPyTorchTensorFlowLangChainHugging FaceVector databasesKubeflow

    Outcomes

    What good looks like.

    • Model performance documented and reproducible
    • Production latency within product budgets
    • Drift detection and retraining automated

    Talk to our team

    Scope your AI & Machine Learning project.

    Share a few details and we will reply within one working day with a shaped scope, indicative timeline, and the team we would put on it.

    Headquarters
    London, United Kingdom
    Response time
    Within one working day

    Prefer to book a time?

    Goals, timelines, links — anything that helps.0/5000

    How the intro call works

    Everything you need to know before booking

    Thirty focused minutes with a senior engineer — no slide decks, no sales pitch. Here's how we make it useful.

    1. 30 minutes over Google Meet. We'll send a calendar invite with the link once you book.

    Still have questions? Book the slot — we'll answer everything live.