AI & Machine Learning
We help teams move AI from demo to production, grounding models in your data, wrapping them in dependable software, and measuring whether they move real metrics.
The challenges this addresses
If any of these sound familiar, this is where we can help.
Impressive prototypes that never make it to production.
LLM features that hallucinate without guardrails.
No clear way to evaluate model quality or cost.
Data scattered across systems and hard to use.
How we deliver it
A consistent way of working that keeps quality high and surprises low.
Grounded, not guessing
Retrieval and structured context so AI answers from your data, with evaluation baked in.
Product, not experiment
We treat AI as a feature inside solid software, with fallbacks, logging and cost controls.
Measure what matters
Clear evals and metrics so you know the feature is helping, not just impressive.
What you get
- LLM & RAG-powered features
- Chat, search & recommendation systems
- Document & data extraction pipelines
- Workflow & decision automation
- Model evaluation & monitoring
Technologies we use
Chosen per project, these are the tools we most often reach for here.
Not sure which technology is right? That's part of the job, we'll recommend the stack that best fits your goals, team and budget.
How a project runs
Every engagement follows the same clear, transparent path.
Discovery
Understand requirements and business goals.
Planning
Define architecture, technology and roadmap.
Design
Create UI/UX and prototypes.
Development
Build the product.
Common questions
A few things clients often ask before we start.
Rarely. Most value comes from combining strong foundation models with your data and good product design.