Jedify raises $24M to give enterprise AI agents the business context they lack
Enterprise artificial intelligence context startup Jedify Inc. today announced that it has raised $24 million in new funding to build what it calls context graphs that give AI agents the business knowledge they need to run in production.
Jedify sells software that automatically assembles a customer-specific “context graph” on top of a company’s existing data and knowledge systems. The platform links a company’s operational data, held in warehouses, customer relationship management and financial systems, with the unstructured material scattered around it: documents, playbooks, Slack threads and meeting recordings. Out of that, Jedify says, it builds a semantic model that keeps current on how the business defines its metrics, how its records relate and who is allowed to see what.
Enterprise AI deployments have struggled with exactly this gap. Large language models can produce fluent answers but cannot reliably determine which definition of revenue applies, which customer record is current or which operational assumptions matter unless that context is supplied at runtime. Without it, the company argues, agents either hallucinate or burn tokens processing irrelevant information.
