AI Product Engineering
We build AI features that survive contact with real customers. That means production-grade models such as Claude and OpenAI, connected to your own data, with retrieval, guardrails, evaluation, and cost controls engineered in — not a demo prompt wrapped in a chat box.
Built to hold up in production
AI assistants and chatbots
Support and sales assistants that answer from your own content and hand over to a human at the right moment.
Document intelligence
Ask questions across contracts, PDFs, and knowledge bases with citations shown for every answer.
Workflow automation
Classify, extract, route, and draft — taking the repetitive work out of support, admin, and operations.
AI inside your existing product
Smart search, recommendations, or generation added to the app you already run, without a rewrite.
What's included
- Use-case feasibility and cost review
- Model selection and integration architecture
- Secure retrieval over your own data
- Evaluation suite and accuracy benchmarking
- Guardrails, rate limits and monitoring
- Production deployment plus ongoing tuning
Technologies we use
Not sure which of these fits?
Stack choices are trade-offs between cost, speed, and who you will be able to hire in two years. Tell us your constraints and we will make the case for a specific option in writing — no obligation.
Ask for a recommendationAI Product Engineering — common questions
The questions clients actually ask before signing off on this work.
Production-ready hosted models — principally Claude and OpenAI — chosen per use case for accuracy, latency, and cost. This ships a reliable feature far faster and cheaper than training your own, and the architecture lets you switch models later as the field moves.
Usually not. Most business AI features retrieve from your existing documents and systems at the moment of the question, so the content you already have is normally enough to start.
Yes. We use business API tiers that do not train on your data, keep sensitive records inside your own infrastructure where required, and agree the data-handling terms in writing before we begin.
By grounding answers in retrieved sources, showing citations, constraining the model with system rules and structured outputs, and running an evaluation set before every release. Where the answer is uncertain, the system is designed to say so or escalate to a human.
Ongoing cost tracks usage, since models bill per request. We estimate it before we build, design for efficient token use and caching, and add monitoring plus hard limits so the bill stays predictable.
Explore our other services
Website Development
Fast, mobile-first, SEO-ready websites that make your business look credible and get you found on Google.
Web App Development
Custom web applications, dashboards, portals, and SaaS platforms built to scale securely with your business.
Mobile App Development
Native and cross-platform apps for Android and iOS — Kotlin, Swift, Flutter, and Kotlin Multiplatform.
Cloud & DevOps
AWS architecture, CI/CD, containers, and cost optimisation so your product ships often and stays up.
UI/UX Design
Research-led product design and design systems that make software obvious to use and pleasant to look at.
Ready to start your ai product engineering project?
Send us the requirements — or just the problem — and we will come back with a fixed-price quote, usually within one business day.
- Reply within 1 business day
- NDA on request
- You own the IP
- No sales sequence