Measured,
not guessed
Evaluation sets built from your real questions show accuracy before launch and after every change.
AI development services ai that does real work.
LLM appsAI agentsChat assistantsAutomationEvals
Assistants, agents and automations built on large language models, grounded in your data, tested before launch and cheap enough to run at scale.
A demo that impresses in a meeting is easy to build. An AI feature that gives correct answers to real customers, every day, at a cost that makes sense is not. Our AI development services focus on that second part: grounding models in your data, measuring quality with evaluation sets and keeping the cost per request under control.
We work with the leading model providers, including OpenAI and Anthropic's Claude, and choose the model for each task on quality, speed and price. Where answers must come from your own documents we add retrieval (RAG); where a task spans several tools we build agents with clear limits on what they may do and a person in the loop for anything risky.
Every AI feature ships with logging, feedback buttons and an evaluation suite, so you can see how it performs and catch regressions before users do. The prompts, data pipelines and evaluation sets are yours, and we avoid designs that lock you into a single model vendor.
What we build
AI development, end to end.
- 01
Chat & support assistants
Assistants that answer customer or staff questions from your help centre, policies and product data, with sources.
- Citations
- Hand-off to humans
- Multilingual
- 02
AI agents
Agents that complete multi-step tasks across your tools, such as triaging tickets, updating a CRM or preparing reports.
- Tool use
- Approvals
- Audit trail
- 03
Document automation
Extract, classify and summarise invoices, contracts and forms, and push clean data into your systems.
- Extraction
- Classification
- Review queue
- 04
AI features in your product
Search, summaries, writing help and recommendations added to an existing web or mobile app.
- Semantic search
- Summaries
- Personalisation
The difference
What you can count on.
Measured,
Costs under
control
The right model for each step, caching and limits, so the cost per conversation is known up front.
Safe by
design
Access controls, guardrails and human approval for any action that changes data or spends money.
How it works
From first call to launch.
A written plan and a fixed price per milestone before any work starts, then a working demo every Friday.
- 01
Use-case workshop
Pick the one workflow where AI saves the most time, and define what a good answer looks like.
- 02
Prototype & evals
A working prototype on your data in two to three weeks, scored against an evaluation set.
- 03
Production build
Integrations, permissions, monitoring and a feedback loop, deployed to your cloud.
- 04
Improve
Monthly reviews of real conversations and scores, with prompt, data and model updates.
Tech stack
Tools we use for AI development.
Models
OpenAIClaudeOpen-source LLMs
Retrieval
pgvectorPineconeHybrid search
Orchestration
PythonTypeScriptTool calling
Quality
Eval suitesTracingGuardrails
FAQ
AI development questions.
Want a number? Try the cost estimator for an instant ballpark.
How much does it cost to build an AI app?
It depends on the use case, integrations and how much evaluation is needed. We break down typical budgets and running costs in our LLM app cost guide, and give a fixed price after discovery.
Will our data be used to train public models?
No. We use API tiers where your inputs are not used for training, keep data in your cloud where possible and apply access controls to every source.
How do you stop the AI making things up?
We ground answers in your documents with retrieval, require citations, test against an evaluation set and have the assistant say when it doesn't know.
Which model should we use?
It depends on the task. We test a few models on your own examples and choose on accuracy, speed and cost, and keep the design flexible so you can switch later.
Can AI agents take actions in our systems?
Yes, within limits you set. Agents get only the permissions they need, and actions that change data or spend money can require human approval.
Tell us what you're building. A senior engineer, not a salesperson, replies within one business day.
Start a project