Companies don't have an AI agent problem. They have a context problem.

Sixty-three percent of organizations either lack or aren't sure they have the data management required for AI, according to Gartner. Worse, the firm predicts that companies will abandon 60% of AI projects by the end of this year due to a lack of AI-ready data.

Not because of model performance, talent, or cost. It's the data they already have but can't use.

Across every industry, enterprises are deploying autonomous AI agents to execute workflows and make decisions at machine speed.

Yet the data those agents rely on remains fragmented, duplicated, and inconsistent.