Governed semantic layer
Metrics, dimensions and access rules live in one model. The AI can only answer within it — so numbers are consistent and permissions are respected.
Analytics, answered
Strata is the AI analytics layer for your whole company. Type a question in plain English — get a trusted answer, the chart behind it, and the SQL that ran it.
Trusted by data teams at
Revenue grew +18.4% QoQ, led by EMEA (+27%). APAC softened late in the quarter.
of questions answered without a data analyst in the loop
faster from question to chart vs. a ticket-based workflow
median time to connect a warehouse and ship the first dashboard
How Strata works
Point Strata at Snowflake, BigQuery, Postgres or Redshift. We read your schema, sample safely, and map relationships — no pipelines to build.
Read-only · SOC 2Codify metrics, joins and grain once in a version-controlled model. Every answer is forced through it, so "revenue" means the same thing everywhere.
Git-backed semantic layerAnyone on the team types a question. Strata writes the SQL, runs it, charts it, and shows its work — citations included, hallucinations out.
Explainable by defaultThe platform
Metrics, dimensions and access rules live in one model. The AI can only answer within it — so numbers are consistent and permissions are respected.
Every answer ships with the exact SQL, the tables it touched, and a confidence note. Click to inspect, fork, or pin to a dashboard.
Promote any answer to a live tile. Strata keeps it fresh, alerts on anomalies, and explains the "why" behind a spike in plain language.
Row-level security, SSO/SCIM, audit logs and private-VPC deployment. Your data never trains a shared model. Ever.
Ask from Slack, the web app, or the API. Pipe answers into your CRM, notebooks, or a weekly digest that writes itself.
Strata picks up your acronyms, fiscal calendar, and the questions your team actually asks — getting sharper with every query.
No black boxes
Strata never hands you a number it can't defend. Open any answer to see the generated SQL, the rows it scanned, and a plain-English read of how it got there.
select region, sum(amount) as revenue from fct_orders join dim_region using (region_id) where order_date >= '2026-01-01' group by 1 order by revenue desc;
FAQ
It replaces the slow part — the back-and-forth between business teams and analysts. Strata sits on your warehouse and serves answers directly, while still letting analysts curate the semantic model that governs them.
Strata can only answer through your governed semantic layer and the SQL it generates against real tables. Every response includes the query and lineage, and ambiguous questions are flagged rather than guessed.
In your warehouse — Strata connects read-only and never copies your data into a shared store. Enterprise plans run fully inside your own VPC. Your data is never used to train any shared model.
Snowflake, BigQuery, Databricks, Redshift, and Postgres today, with more on the roadmap. Connecting one takes a read-only role and about six minutes.
That's the point. If someone can ask a question in Slack, they can use Strata. Analysts set the guardrails once; everyone else just asks.
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