AI Engineering Services
Artificial Intelligence Development
AI becomes valuable when it solves a specific problem inside a product or process. We design and build custom AI features and products, from a first working prototype to a system that runs reliably in production.
What we build
AI features inside products
Smart search, summaries, recommendations and assistants added to your existing app.
Document question answering
Assistants that answer from your own documents, with sources shown for every claim.
Workflow automation
AI that reads, classifies and routes the repetitive work your team does by hand.
Evaluation and guardrails
Test sets, quality checks and limits so answers stay accurate and safe.
Production engineering
Monitoring, cost control, privacy and fallbacks so the system keeps working.
How we approach Artificial Intelligence Development
We choose one narrow use case and build a prototype against your real data within the first weeks, because that is where assumptions break. We measure it on a set of real questions, add guardrails and sources, and only then build the surrounding product. Privacy, access control and running cost are agreed in the PRD, before any model is chosen.
When this is a good fit
A good fit when
- A specific task in your business is slow, repetitive or hard to scale.
- You have documents or data that people struggle to search.
- You want AI in your product but need it to be dependable.
How an engagement works
- 01
Scope
A free strategy call, then a clear proposal with scope and priorities.
- 02
Plan
A PRD and, where useful, a clickable prototype before building starts.
- 03
Build
An in-house team builds in stages, with demos along the way.
- 04
Launch and improve
Release, then keep improving with the people who built it.
Questions about Artificial Intelligence Development
Where do we start?
With one narrow use case where success is easy to measure. We prototype it quickly, test it on your real data and only then build it out.
Is our data safe?
We design for it: access control, no training on your data by default, choice of providers and, where required, private deployments. Privacy is agreed before building.
How do you stop the AI making things up?
By answering from your documents, showing sources, testing against known questions and adding checks that refuse to answer when the evidence is thin.
Have a product in mind?
Tell me what you want to build. The first call is free, and you speak with me directly.