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Context for enterprise AI, explained.
Plain-language guides to the ideas behind trusted, AI-ready data: what a context layer adds, what context engineering takes, and how to keep it current.
- Part 1 5 min read
Semantic layer vs context layer
A semantic layer defines how your metrics are calculated, so every tool computes revenue the same way.
Read the guide - Part 2 5 min read
Context engineering for enterprise data
Context engineering is deciding what information an AI model sees before it answers: instructions, retrieved documents, data, tools and memory.
Read the guide - Part 3 4 min read
Active context
Active context is business context that keeps itself current.
Read the guide
See a context layer on your own data
We start with one domain. You see the first results in two to three weeks.