What we
build with.
We choose technologies based on your requirements — not on what we are most comfortable with. These are the tools we use for this type of build.
Large language model for text generation, analysis and conversational AI.
Enterprise-grade AI for document analysis and safe AI applications.
Primary language for AI development, data processing and model integration.
Framework for building AI applications with memory, reasoning and tool use.
Vector database for AI search and retrieval from your own data.
High-performance API layer for serving AI features to your product.
Technology choices are finalised during the discovery phase based on your specific requirements.
How we go from
brief to launched.
A transparent, structured process that keeps you informed and in control at every stage — from first meeting to go-live.
We define exactly what the AI needs to do, what data it needs and how success will be measured.
We review your existing data — its quality, structure and suitability for the AI application.
We build a working prototype quickly so you can see the AI in action and validate it solves the problem.
We build the full solution and integrate it into your existing systems and user experience.
We monitor AI performance, accuracy and cost in production and continuously improve based on real usage.
Timelines vary by project complexity. Exact timelines are agreed during the discovery phase.
Everything you need
to go live.
Every build engagement has a clearly defined set of deliverables agreed upfront. No scope creep. No surprises. You know exactly what you are getting.