AI development and automation services

AI is only useful when it changes a number your business cares about. We build agents, assistants and retrieval systems grounded in your own data, and we measure them before and after they go live.

Problems we solve

  • Your team loses hours every week on repetitive judgement calls: triage, classification, data entry.
  • Knowledge is scattered across documents, tickets and inboxes that nobody can search properly.
  • An AI pilot looked impressive in a demo, but nobody trusts it enough to use it in production.

Stack

  • Python
  • LangGraph
  • LLM APIs
  • pgvector
  • Evals
  • MLOps

What we deliver

  • Agents and workflows that automate a defined, measurable task
  • Search and chat over your documents, with citations and access control
  • Evaluation suites that track quality, cost and latency on every change
  • Guardrails, logging and human review wherever the stakes require it

How we deliver

A clear path from idea to production.

Five phases, each with something concrete you can review before we move on.

  1. Discover

    We map goals, users and constraints, and agree on the smallest version worth building.

    A written scope, an estimate, a plan and the main risks, in plain language.

  2. Design

    Architecture, data model and interface prototypes, validated with you before any code.

    A clickable prototype and a short technical design document.

  3. Build

    Short iterations, a working demo every week, tests and code review on every change.

    A weekly demo, a short written update and steady progress you can see.

  4. Launch

    Production hardening, monitoring, a security review and a calm go-live.

    Your product live in production, plus a runbook explaining how to operate it.

  5. Evolve

    We keep improving it with you, or hand it over to your team with full documentation.

    A prioritised roadmap, or a handover with documentation, access and a walkthrough.

Ways to work together

Pick the model that fits your stage.

Every engagement starts with a free 30-minute call and a written proposal. No commitment before that.

01

Fixed-scope project

A defined outcome, a fixed price and a timeline agreed upfront.

  • Price agreed before work starts
  • Milestones with clear deliverables
  • Ideal for a first collaboration

Best forMVPs, websites, well-defined features

03

Audit & advisory

A short, focused review of your architecture, code, cloud costs or AI strategy.

  • Fixed duration and price
  • Written report with prioritised actions
  • Debrief call with your team

Best forSecond opinions and technical due diligence

Questions

Frequently asked questions

What kind of AI solutions can you build?

Agents that automate defined tasks, assistants and chat over your documents (RAG), classification and data extraction pipelines, and AI features inside your existing products.

Can AI work with our private data securely?

Yes. We design access controls, keep data in your infrastructure or with approved providers, log usage and add human review where the stakes require it. We choose providers and settings that do not use your data to train their models.

How do you measure whether an AI project works?

We agree on a business metric before we start and build an evaluation suite that tracks quality, cost and latency before and after launch.

Contact

Let's talk about your project.

Tell us what you are building. Our team reviews every request and replies within one business day, with questions, not a sales script.