Ontora gives executives a way to read their own company like a book. Roughly 80 percent of operational knowledge inside a typical enterprise is tacit, lodged in people's heads and never written down, which is why consultancies still charge seven figures and spend months interviewing employees to map processes. Ontora replaces that motion with AI agents that conduct in-depth conversations with every employee in parallel, surfacing bottlenecks, broken handoffs, and automation opportunities in hours rather than quarters.
The platform conducts interviews that ask intelligent follow-up questions, then synthesizes the results into themed insights, impact ratings, visual process maps, and a prioritized automation roadmap with ROI estimates. It plugs into the broader operations stack through integrations with Glean, Celonis, Snowflake, Databricks, n8n, and other AI tools via MCP and REST APIs, so the resulting knowledge base becomes a live source of truth rather than another deck. Pricing comes in around 50 thousand dollars per engagement, which Ontora positions as roughly a tenth of a comparable McKinsey-style transformation study.
Ontora is a Spring 2026 Y Combinator company founded by Maximilian Arnold, Leon Iwanowitsch, and David Korn, based in San Francisco. The team brings together process optimization experience at Porsche, data engineering from finance, and AI automation work at consultancies. The pitch lands at a moment when many enterprises want to deploy AI agents but lack a clear map of their own processes.