Stop writing the same query twice.
Hand every team a contract instead of another ad-hoc SQL request. Define the metric once; every dashboard, every app and every agent reads from the same definition.
The data team is the bottleneck for everyone else.
The same metric, written six ways
Finance, growth and the product team each ship their own SQL. Numbers diverge. Every meeting starts with reconciliation.
A new pipeline for every consumer
Each new dashboard or in-app chart is another query to maintain, another set of access checks to get right.
Row-level rules rebuilt per endpoint
Tenant scoping, role gates, customer isolation. The same logic gets rewritten in every service, sometimes correctly.
Define a metric once. Every dashboard, every product surface, every AI agent reads from the same definition, under the same access rules.
You model once. Everyone reads from the same place.
Gaur ingests from your sources, runs in its own engine, and serves contracts to every consumer. You stop being the keeper of every query. You become the author of one canonical set of metrics.
Connect what you already have
Postgres, MySQL, S3, R2, Stripe and file uploads ship today. Snowflake and BigQuery are in the build pipeline.
Model once, version everything
Define sources, dimensions, measures and row-level rules in one contract. Validation catches the fan-out and additivity mistakes before queries run.
Access rules in one place
Each contract carries its own row-level security. Resolved from the API key context and the per-request context your callers send.
From source to served contract.
The three steps below match the build flow in the Gaur docs: connect, model, publish.
- 1Step 1
Connect a source
Wire up your database, object store or SaaS source. Gaur stores the secret encrypted and ingests on a schedule you control.
Connectors · Secrets · Refreshes
- 2Step 2
Explore and model
Inspect schemas, write read-only SQL, define reusable models on top of the raw tables. Iterate until the shape is right.
Exploration · Tables · Models
- 3Step 3
Publish a contract
Declare sources, dimensions, measures and RLS in one definition. Expose it through a consumer with its own API key.
Contracts · Consumers · API keys
The full builder reference, including the single-fact rule and the fan-out and chasm guards, lives in the docs.
Same product, different chair.
For product teams
Ship customer-facing charts and AI features against the contracts your data team owns.
For founders
Trust the number you see in the board deck because everyone is reading from the same contract.
Security
The full access, ingest and compliance posture. Useful when the security review lands on your desk.
You run your business.
We run your analytics.
Hop on a 30-minute call. We'll connect a sandbox to your warehouse and show you Gaur on your numbers.
