Jedify launches Data Agents for plain-language AI analysts

Business intelligence software has long required analysts to build dashboards ahead of time around the questions they expect people to ask. Generic AI assistants have tried to fill that gap, but in Jedify's telling they end up guessing at what a business means from raw tables and schemas. Jedify's answer is a context graph that pulls structured data and documents into a single model of how a business works, down to metric definitions and record-level permissions — and Data Agents runs on top of it.

Because joins and schema mapping are already worked out inside that graph, building an agent comes down to describing the question. Users decide when an agent runs — on request, on a schedule, or when a condition they defined is met — and Jedify's deep research engine then works out what most likely drove a change. Data access is tied to the person asking, so anything that user is barred from seeing, even a single row, stays out of the results.

Jedify is a venture capital-backed startup that has raised more than $33 million, including a $24 million Series A round led by Norwest in June. Co-founder and CTO Adi Elimelech framed the shift as moving analytics "from answering questions to doing meaningful work," with the goal of teams building "an analytical workforce" reachable from the tools employees already use.