Services

Everything you need to put AI into production.

Five capabilities, one team. We take an idea from first prototype to a maintained system your business runs on, and we own the hard parts in between.

Custom AI development

Bespoke LLM applications built around your data, workflows and constraints, not a generic template.

  • Model selection & fine-tuning

  • Retrieval-augmented generation

  • Agentic workflows

  • Human-in-the-loop review

What you get

A running application, an evaluation suite, and the fine-tuned or configured models behind it, with a clear cost and quality baseline.

LLM integration

We wire models into the products you already run, with clean APIs and predictable behaviour.

  • API & SDK implementation

  • Prompt & context engineering

  • Streaming & tool-calling

  • Fallbacks & rate control

What you get

Model access wired into your product through documented APIs, with streaming, tool-calling, retries and rate limits handled for you.

AI infrastructure

The unglamorous layer that makes AI reliable: deploys, scaling, observability and cost control.

  • Cloud & edge deployment

  • Autoscaling & caching

  • Tracing & monitoring

  • Cost optimisation

What you get

Deployment on your cloud or ours, autoscaling, caching, tracing dashboards and a monthly cost you can predict.

Analytics & insight

Turn messy operational data into models and dashboards your team actually reads.

  • Data pipelines

  • Predictive models

  • Business intelligence

  • Custom dashboards

What you get

Data pipelines, trained models and the dashboards your team reads, with the underlying queries documented and yours to change.

Security & compliance

Guardrails, redaction and audit trails so AI can touch real data without becoming a liability.

  • PII detection & redaction

  • Access control

  • Evaluation & red-teaming

  • GDPR-ready processing

What you get

Guardrails, PII redaction, access controls, an audit trail and a red-team report, ready for a compliance conversation.

How a project runs

Four steps, no mystery.

01

Scope

A short paid discovery: we map the use case, the data, the risks and a target metric.

02

Prototype

A working version in front of real users within the first sprint, measured from day one.

03

Harden

Evaluation, guardrails, infrastructure and the unglamorous work that makes it production-grade.

04

Hand over

Documentation, a walkthrough and clean code, so your team owns what we built.

Start a project

Tell us the problem, not the prompt.

Bring the business outcome you want. We will tell you honestly whether AI is the right tool and how we would build it.