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Services

We build, prove and ship AI systems.

Focused on purpose: three disciplines, one standard. Every system we touch has a measurable goal, an evaluation behind it and a path to production.

01

Build

From problem to production system

Predictive models, generative AI systems and intelligent automation, designed around your data and integrated into the tools your teams already use.

  • Machine learning & prediction

    Forecasting, classification, ranking, recommendation, anomaly detection, risk modelling, NLP, computer vision and multimodal learning.

  • Generative AI & agents

    Document intelligence, retrieval (RAG), assistants, agents and knowledge systems, built to be measured and controlled rather than simply connected to an LLM.

  • Intelligent automation

    Documents, email, spreadsheets, CRM, reporting and review processes, turned into reliable workflows with human checkpoints.

  • Data & AI engineering

    Pipelines, feature engineering, model serving, APIs and deployment architecture: the parts that make a model a product.

02

Evaluate & stress-test

Proof, not promises

Independent evaluation of AI and ML systems, whether we built them or not. We find where they break before your customers or your regulator does.

Signature service · works on any AI system, ours or not

What an audit summary looks like

example audit · illustrative

$ audit --client-system support-agent-v3

▸ running 0 test cases ▮

  • ✓answer accuracy94.1%
  • ✓grounded in sources97.8%
  • !hallucination rate3.2%
  • ✗prompt-injection resist.71.0%
  • ✓refuses out-of-scope98.5%
  • ✓p95 latency1.8s

verdict NOT READY · 2 blocking issues

▸ fixes ranked by risk → report.html

  • Evaluation frameworks

    Task-specific test sets, metrics that reflect business risk, and automated regression suites that run on every change.

  • Robustness & failure analysis

    Edge cases, adversarial inputs, distribution shift, calibration and confidence, and a map of where the system should not be trusted.

  • LLM & agent testing

    Hallucination, grounding, tool-use failures, prompt injection and consistency testing for generative systems and agents.

  • Monitoring & safeguards

    Drift detection, guardrails, human-in-the-loop escalation and the documentation needed to deploy responsibly.

03

Advise

An honest technical second opinion

Senior technical perspective on architecture, modelling and AI strategy, including whether a proposed AI solution makes sense at all.

  • Feasibility & scoping

    Is this solvable with your data? What will it cost, how long will it take, and what will it return?

  • Architecture review

    Model choice, build-vs-buy, vendor evaluation, infrastructure and data strategy.

  • Team enablement

    Code and model reviews, evaluation practices and hands-on support for in-house teams.

Engagements

Three ways to start.

Fixed-scope engagements give you a concrete answer fast, with no open-ended retainer before you know what you are getting.

2 weeks · fixed scope

AI Feasibility Sprint

You have a problem or idea and need to know whether AI can solve it, and what it would take.

You get

  • Problem & success-metric definition
  • Data audit and quick baseline model
  • Solution options with cost, risk and expected impact
  • A go / no-go recommendation and roadmap
Enquire

2–4 weeks · fixed scope

AI System Audit

You have an AI or ML system, in production or about to be, and need to know how far you can trust it.

You get

  • Evaluation suite tailored to your use case
  • Robustness, failure-mode and hallucination report
  • Prioritised fixes ranked by risk and effort
  • Monitoring and regression-testing plan
Enquire

Scoped per project

Build & Deploy

You know what you need and want it designed, built, evaluated and running in production.

You get

  • Production-grade model or AI system
  • Integration with your existing tools
  • Evaluation & monitoring built in
  • Documentation and handover, or ongoing improvement
Enquire

Typical projects

What clients bring us.

  • Build something new

    You have a business problem or product idea and need an AI system designed and built from the ground up.

  • Upgrade an existing system

    You have an AI or ML prototype that needs better performance, evaluation, infrastructure or a path into production.

  • Automate a workflow

    A repetitive, data-heavy process is costing your team hundreds of hours. We turn it into an intelligent workflow.

  • Add AI to your product

    You want predictive, generative or multimodal capabilities inside an application you already run.

Good fit

We’re a good match if…

  • You have valuable operational or customer data
  • Your teams rely on manual analysis or repetitive workflows
  • You have an AI idea but need it turned into a working system
  • You have a prototype that needs to reach production
  • You need specialised ML capability that is hard to hire for
  • You are building an intelligent digital product

■ Free 30-minute call

Have a problem worth solving?

Tell us what happens today. In 30 minutes you’ll know whether AI can make it meaningfully better, roughly what it would take, and what it could be worth.