Context in the agentic AI world
If context is the window, meaning is the foundation.
AI agents are getting more capable, but they still don't understand the businesses they work for. The Context Research studies what it takes for AI to grasp a business's knowledge, and why more data alone isn't enough.
Most conversations about context in AI focus on getting more data into the model’s window. Our work starts from a different question: what does the data mean to the business, and how does an agent learn that meaning well enough to be trusted?
What we study
Tacit knowledge
What people in a business know but rarely write down: judgment, habits, unwritten rules.
Systemic knowledge
What lives across a business's tools and data, and how those pieces relate to each other.
Business knowledge
The goals, definitions and priorities that give data its meaning for a specific business.