AI Development Services, Agents, RAG & LLM Applications
We build AI that works on your real data and ships to production, not demos. From a single LLM feature to an autonomous agent that runs a workflow end to end.
From idea to a production AI system
AI Agents & Automation
Agents that read your docs, call your APIs and complete multi-step tasks, support triage, research, data entry and more.
RAG & Knowledge Assistants
Retrieval-augmented systems that answer from your own content with citations, kept fresh as your data changes.
LLM-Powered Features
Summarisation, classification, extraction, drafting and search dropped into your existing product.
Model Integration
OpenAI, Anthropic, Google and open-source models, chosen for accuracy, cost and privacy, with sane fallbacks.
Data & Pipelines
Ingestion, embeddings, vector stores and evaluation harnesses so quality is measured, not guessed.
Guardrails & Evals
Prompt safety, output validation, monitoring and test suites that keep behaviour reliable in the wild.
Deliverables, not promises
Every engagement ends with working software and everything you need to run it.
- A production-ready AI system deployed to your cloud
- Evaluation suite so accuracy and cost are measurable
- Documentation, prompts and architecture you fully own
- Monitoring and guardrails for safe, predictable output
- A roadmap for the next iterations
How a ai development project runs
Discover
We pick one high-value use case and define what 'good' looks like with measurable success criteria.
Prototype
A working proof-of-concept on a slice of your real data, fast, so we learn before we scale.
Harden
Evals, guardrails, error handling and cost controls turn the prototype into a dependable system.
Deploy & measure
We ship to production, wire up monitoring and track the metrics that matter to your business.
AI Development, common questions
Will AI work on my specific data?
That's exactly what the prototype phase answers. We test on a slice of your real data first, so you see measurable accuracy before committing to a full build.
Which AI models do you use?
Whichever fits, OpenAI, Anthropic, Google Gemini or open-source models. We choose based on accuracy, latency, cost and your privacy requirements, and design fallbacks so you're never locked to one provider.
How do you stop the AI from making things up?
We use retrieval with citations, output validation, guardrails and an evaluation suite that catches regressions. You get a system whose behaviour is monitored and testable.
How much does an AI project cost?
It depends on scope, but we start small and prove value before scaling. Book a consultation and we'll give you a fixed estimate for a first, shippable milestone.
Ready to talk ai development?
Book a free consultation and get a clear, honest scope, timeline, cost and what success looks like.