Data & Analytics Platforms
Modern data platforms that make analytics and AI possible — lakehouse architectures, streaming pipelines, vector and feature stores, and the governance that keeps data trustworthy and AI-ready.
Where this fits in your AI stack
Analytics and AI are only as good as the data beneath them. Modern lakehouse platforms — Databricks, Snowflake and friends — unify analytics and AI on one governed foundation, with streaming pipelines, vector and feature stores for AI, and the lineage and quality controls that make outputs trustworthy. We build that foundation so your data is usable, governed and AI-ready.
A trustworthy foundation for analytics and AI
Frequently asked questions
Lakehouse, warehouse or lake — which do we need?
Most organisations land on a lakehouse (Databricks or Snowflake) that serves both BI and AI from one governed platform. We assess your needs and design the right architecture rather than chasing a label.
Do we need a vector database?
If you're doing retrieval-augmented generation or semantic search, yes — to store embeddings for similarity search. We integrate it into your data platform and help you choose the right one.
Can you build on our existing data stack?
Yes — we extend what you have with the AI-specific layers (vector/feature stores, quality, governance) rather than rip-and-replace, unless a rebuild is genuinely warranted.