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Brewit

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Data analyst agentindependentVerified 2026-07-01

Brewit is a conversational business intelligence agent that turns plain language questions into governed SQL, charts, and dashboards on top of a reusable semantic layer for data teams.

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.

Vendor details

Canonical URL

https://brewit.ai

Category

Data analyst agent

Company status

independent

Use cases & customers

In practice

A marketing lead asks Brewit which campaigns drove the most qualified pipeline last quarter, and the agent writes the SQL, returns a chart, and lets her drill deeper without waiting on the data team.

A data team defines revenue and churn once in the semantic layer, then lets nontechnical colleagues self serve trusted answers while every response stays consistent with the governed metric definitions everyone agreed on.

Before a board meeting a founder embeds a Brewit agent inside an internal tool, runs an evaluation suite to confirm query accuracy, and ships a live dashboard the whole team can question.

Sources & related URLs

Research notes

Score 6.5 (3F/7P/4N). Fulls: Know (built in data catalog and semantic layer with metric definitions), Dep (self host in customer environment), Eval (evaluation suite runs custom tests against user databases plus query library). Partials: Int, Orch, HITL (clarify plus review workflow), Obs, Mem (saved queries self improve), Trig (Slack plus embeddable), Model (select preferred model). N: Sec (no named certs verified, young bootstrapped startup, permission settings only), Pack, Ext (no clear API plus SDK plus MCP), Comp. Eval kept F as a documented test harness, not just self accuracy. Sec judgment call: permission controls present but no published certs.

Capability coverage

6.5 / 14 capabilities · 46%

Integrations & Tool CallingBrewit connects to Postgres, MySQL, Snowflake, BigQuery, and Microsoft SQL Server and integrates with Slack, giving solid warehouse connectors short of a broad first class integration marketplace, so partial. Partial
Workflow OrchestrationBrewit runs a single analytics agent that clarifies a question, writes SQL, and drills into results across steps, but stops short of autonomous end to end multi agent execution, so partial. Partial
Knowledge Grounding & RAGBrewit builds a governed semantic layer through a built in data catalog holding table and column descriptions, sample queries, and metric definitions for consistent answers, so full. Full
Human Oversight & GuardrailsBrewit asks clarifying questions before querying and can route generated queries through an approval workflow for colleague review, a checkpoint rather than enforced runtime guardrails, so partial. Partial
Security, Identity & GovernanceBrewit describes enterprise level security and offers permission settings, but no named third party certifications such as SOC 2 could be verified for this young bootstrapped company. Unable to verify
Observability & AuditabilityBrewit exposes the SQL it generates and provides evaluation and testing transparency, offering query level visibility rather than full trace replay and live debugging, so partial. Partial
Memory & State PersistenceBrewit self improves as users save correct queries into a query library and give feedback, persisting learned queries rather than full cross session agent memory, so partial. Partial
Deployment & Data ResidencyBrewit can be self hosted inside a customer environment with the customer choosing its large language model, meeting the self host bar for deployment, so full. Full
Prebuilt Agents, Templates & PacksBrewit offers role specific agents configured per customer rather than a browsable marketplace of cloneable prebuilt agents or a shared template library, so not documented. Unable to verify
Triggers & Channel CoverageBrewit delivers through Slack and an embeddable inline frame agent and supports dashboards, covering several channels short of broad proactive omnichannel push, so partial. Partial
Model Flexibility & RoutingBrewit lets teams select their preferred large language model, providing multi provider model choice without a documented routing gateway, so partial. Partial
APIs, SDKs & MCP ExtensibilityBrewit provides an embeddable inline frame but no combined application programming interface, software development kit, and Model Context Protocol surface could be verified, so not documented. Unable to verify
Testing, Debugging & OptimizationBrewit ships an Evaluation feature that runs custom test suites against a customer database, auto generates test questions, and measures accuracy against a query library, so full. Full
Browser & Computer UseBrewit is a database analytics tool with no browser or computer use capability, which is expected for this category, so not documented. Unable to verify

Recent platform changes

No recent material changes tracked yet.

Pricing

Free trial; paid plans not public

Contact onlyMedium variable cost
Verified 2026-07-01
Data confidence: medium

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Researched from public vendor sources. See Methodology.