Identity
Unverified · 0 matching sources · 2026-07-01No accepted supporting source is recorded for this field.
Agenova records Brewit as a data analysis agents product from brewit.ai. No capability, pricing, or deployment field currently has publication-qualified Evidence; those claims remain Unknown.
Agenova verified this product identity, but accepted official evidence is currently insufficient for specific capability, pricing, integration, deployment, privacy, or enterprise-control claims. Unverified fields remain Unknown.
Brewit is an artificial intelligence data analytics platform that lets anyone on a team ask business questions in plain language and receive answers as SQL results, charts, and shareable dashboards. Founded in 2023 and based in Palo Alto, the company builds role specific business intelligence agents that sit on top of a company database or warehouse. The goal is to close the gap between the flood of ad hoc data requests that reach a data team each week and the slow manual work of answering them one query at a time. The core of the product is a built in data catalog that functions as a semantic layer. Teams feed it table and column descriptions, sample queries, and metric definitions so the agent shares one consistent understanding of what each number means. Before running anything, the agent asks clarifying questions when a request is ambiguous, much as a human analyst would, and it can route generated queries through an approval workflow so a data colleague reviews them before results are trusted. A Distinct Values feature stores real column values in a vector store so filters match the way data is actually written. Brewit can be self hosted inside a customer environment, and teams can select their preferred large language model rather than being locked to one provider. An Evaluation feature lets data teams run custom test suites against their own databases, generate test questions automatically, and measure how accurately the agent translates language into SQL, then save correct queries into a query library so the agent improves with use. It connects to Postgres, MySQL, Snowflake, BigQuery, and Microsoft SQL Server, and has been tested against databases holding more than one hundred gigabytes. Beyond the chat experience, Brewit supports drag and drop dashboard building, a notebook style report editor, Slack delivery, and an embeddable agent that teams can place inside their own applications through an inline frame. Collaboration and permission settings let administrators assign different access levels across a team. The company remains independent and bootstrapped with a small founding team, so its security posture rests on self hosting and permission controls rather than a published set of named third party certifications. Brewit fits startups and lean data teams that want governed self service analytics without standing up a heavier enterprise stack.
No decision field has accepted public evidence yet.
0 of 8 decision fields supported. Evidence coverage is not a product score.
Known identity and product metadata appear below. The eight decision fields remain Unverified until accepted evidence supports them.
Request evidence →Documented product facts and Source-Backed claims do not establish execution quality or performance. Only publication-approved execution evidence can create an Execution-Verified state.
Documented product intelligence is not execution evidence or a performance claim. No publication-approved Execution-Verified edge appears unless its governed evidence passes.
No evidence-qualified capability edge is published for this profile. Provider-listed labels are not promoted as verified capabilities.
No accepted supporting source is recorded for this field.
No accepted supporting source is recorded for this field.
No accepted supporting source is recorded for this field.
No accepted supporting source is recorded for this field.
No accepted supporting source is recorded for this field.
No accepted supporting source is recorded for this field.
No accepted supporting source is recorded for this field.
No accepted supporting source is recorded for this field.
No accepted supporting source is recorded for this field.
These sources support only the fields named below. A missing source is reported as unknown, not as a negative product claim.