Machine learning that solves a real problem and runs in production.
We build applied AI systems: classification, forecasting, document understanding, recommendation and retrieval-based generative features. We start from the business question, measure against a baseline and deploy with monitoring, not a notebook demo.
Start a conversationWhat you get
Applied machine learning and generative AI: data pipelines, model evaluation, retrieval systems and production deployment for real business problems.
Data readiness
We assess what data you have, clean it and build pipelines that keep it usable.
Model selection and evaluation
Pretrained, fine-tuned or classical models compared on your own test data, with clear success metrics.
Retrieval and RAG
Search over your documents so language models answer from your sources and cite them.
Deployment and monitoring
APIs, batch jobs and dashboards that track quality and drift after launch.
How the work runs
A short, predictable process with a review at every stage, so nothing arrives as a surprise.
- 01
Frame the problem
Define the decision the model supports and how we will know it works.
- 02
Prototype
Fast experiments against a baseline to see whether the data supports the idea.
- 03
Build the pipeline
Production data flow, evaluation harness and guardrails.
- 04
Deploy and monitor
Release behind a feature flag, then watch quality and cost.
Common questions
Straight answers to what people ask before we start. Anything else, just ask us.
Do we need a lot of data?
Not always. Many useful features use pretrained models plus your documents. We check what is realistic before you commit budget.
How do you handle sensitive data?
We minimise what is sent to third-party models, redact personal data where needed and can use providers with zero-retention terms.
Can AI results be guaranteed?
No honest vendor can promise accuracy upfront. We agree an evaluation set and a target, and report against it.
Related services
Services that are often combined with this one.
AI Integration
Add AI to your existing software and workflows: language model features, document processing and automation connected safely to your systems.
Custom AI Assistants
Custom AI assistants and chatbots trained on your content: customer support, internal knowledge search and sales help on web, WhatsApp and apps.
Backend Development
API and backend engineering with Node.js, PostgreSQL and cloud infrastructure: secure, observable systems that scale with your product.
Talk to an engineer about AI & ML Development
Tell us what you are trying to achieve. You get a straight answer on scope, timeline and whether we are the right fit.