Five capabilities. Measurable impact.
We don't do everything. We go deep on the five generative-AI capabilities that generate the most measurable business impact - each backed by real shipped work.
Autonomous AI Agents
Agents that plan, execute, and adapt across tools and APIs - handling multi-step workflows without someone watching every step.
RAG & Knowledge Systems
Pipelines that give your models access to your own data - documents, databases, and knowledge bases - with a precision generic chatbots can't reach. Memory-driven architectures your whole team can build on.
Fine-Tuning & Custom Models
Domain-specific models trained on your data, your tone, and your workflows - smaller, faster, and cheaper than calling a frontier model for every request.
Document & Process AI
End-to-end automation of knowledge-heavy work - capture, classification, extraction, summarisation, and routing - at production scale.
Cost Optimisation
Cut inference spend with intelligent routing, prompt compression, caching, and model selection - so you're not overpaying for every token.
Production ML & forecasting
Demand and price forecasting, time-series modeling, and ML pipeline productionization - from real production forecasting work in mobility.
From problem to production.
Discovery & Scoping
Understand the actual workflow and scope what's realistic - before a line of code is written.
Prototype on real data
A working prototype on your real data and real outputs. Not a slide deck.
Build & ship
Full system build, tested and deployed - production-grade, not just impressive in a demo.
Support & iterate
Stay engaged after launch, because real AI systems need it.
Scope a system together.
Discovery call first. Honest about what's realistic.