AI Integration
Real AI features wired into your product. Working systems, not demos.
There is a lot of AI theatre out there — flashy demos that never make it to production. We build the other kind: AI features that ship, that your customers actually use, and that move a real number.
From retrieval-augmented chatbots grounded in your own data, to automation that removes manual work, to search that finally understands what users mean — we integrate AI into the product you already have, with the guardrails, evaluation, and cost control to run it in production.
What you get.
Custom chatbots & assistants
RAG assistants grounded in your docs, data, or product — accurate, on-brand, and aware of context.
Automation workflows
AI pipelines that classify, summarise, route, and act — removing repetitive manual work.
Smart search
Semantic and hybrid search that understands intent, not just keywords.
Personalization engines
Recommendations and dynamic content tuned to each user’s behaviour.
Guardrails & evaluation
Prompt design, evals, fallbacks, and monitoring so quality stays high and costs stay predictable.
Model strategy
Right-sizing models (Claude, GPT, open models) for quality, latency, and cost — not hype.
A good fit if…
- SaaS teams adding an AI feature without an in-house ML team
- Companies drowning in manual, repetitive workflows
- Products with documentation or support that users struggle to search
- Teams that tried an AI demo and need it production-ready
Questions, answered.
Will the AI make things up?
We ground responses in your own data using retrieval (RAG), constrain outputs, add fallbacks, and build evaluation in — so the system stays accurate and admits when it does not know, rather than hallucinating.
Which AI models do you use?
We are model-agnostic and pick based on quality, latency, and cost for your use case — typically Claude or GPT for reasoning, and embeddings models for search. We are not locked to one vendor.
Can you add AI to our existing product?
Yes. Most of our AI work integrates into a product that already exists. We design clean interfaces so the feature fits your stack without a rebuild.
How do you keep AI costs under control?
We right-size models, cache aggressively, set usage limits, and monitor spend per feature, so cost stays predictable as usage grows.
Often paired with.
Ready to start your ai integration project?
Tell us what you’re working on. We’ll tell you how we can help — and what it’ll take to do it right.