Definite

Definite is a full stack data platform built to replace the assembled modern data stack of a warehouse, an ingestion tool, and a separate business intelligence layer with one artificial intelligence native product. Founded in 2023 by Mike Ritchie, whose prior data company SeekWell was acquired by a major business intelligence vendor, the company raised a ten million dollar seed round led by Costanoa. The pitch is that a team should not need six months, a large budget, and a room of engineers to answer basic questions about the business. Definite gives them one login, one bill, and one source of truth.

At the center sits Fi, an analyst agent that interprets a plain language question, generates a governed query, joins data across sources, and returns a traceable answer. Fi does more than describe data. It builds and updates dashboards and models on its own, which sets it apart from read only assistants bolted onto a fragmented stack. A governed semantic layer, built on Cube.dev, enforces metric definitions system wide, so the meaning of revenue or churn is the same in every dashboard and every answer. That governance is what keeps the agent from confidently guessing.

The platform ships more than five hundred connectors and pulls data automatically without a separate pipeline tool. It speaks Model Context Protocol natively, so an external agent such as Claude or Cursor can point at the warehouse and receive schema, lineage, and semantic context with no glue code. Definite is SOC 2 Type II compliant and supports single sign on through security assertion markup language. Automated workflows round out the loop, firing a Slack alert when churn crosses a threshold, dropping a weekly report into an inbox, or syncing usage scores back to a customer relationship management system.

Definite is built on open standards including DuckDB, Apache Iceberg, and Parquet, so data stays portable and teams avoid lock in. An inspector on every element lets anyone click a chart to see its summary, the facts behind it, a breakdown, and the underlying SQL, which supports trust and auditability. It is a younger platform than incumbents, with a thinner template library and a smaller community, and it is built for teams that want to use analytics rather than build data infrastructure. Definite fits startups and lean enterprises that want governed answers in minutes rather than a multi quarter data project.