Embedded GenBIWREN AI · PLATFORM

Ship conversational analyticsinside your product.

Embed white-label GenBI through threads, APIs, or MCP. One context layer governs every answer. Your brand, your policies, live in days.

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01Choose your surface

Three ways in. One governed engine.

Every surface resolves through the same context layer: same metric definitions, same access policies, same audit trail.

Drop the full conversational experience into your app with one snippet. End users ask questions in plain language; Wren AI returns governed SQL, charts, and summaries under your brand.

  • Public mode, or JWT identity mode signed server-side (HS256)
  • Per-user data scoping via sessionProperties in the token
  • Brand the chat icon, company logo, and primary color
Embedded Threads docs
index.htmliframe
<iframe
  src="https://cloud.getwren.ai/iframe/your-unique-id"
  width="100%"
  height="100%"
  style="border: none;">
</iframe>
02Embedded Threads

Conversational analytics in your app, in an afternoon.

Embed the full Wren AI thread experience with an iframe. Your users explore their own data in plain language without leaving your product, and every answer stays inside your governance boundary.

Read the docs
A white-label Wren AI chat thread embedded in a host application answers a question with a governed chart
03Embedded AI API

Your UX on top. Our GenBI engine underneath.

Two endpoint families cover the whole loop: natural language to SQL with execution, and chart generation as Vega-Lite specs. Conversation context carries across follow-up questions.

Explore the API reference
A curl request to the generate_sql endpoint flows through the Wren engine and returns SQL with a chart
04MCP + Slack + Teams

Meet your users in the tools they already open.

Wren AI speaks MCP natively and ships Slack and Teams integrations. Agents and teammates query through the same definitions your product embeds; nobody touches raw tables.

Read the MCP docs
Claude, ChatGPT, Slack, and Teams all query one governed context layer with RLS, CLS, and audit logging
05How it ships

Model once. Ship everywhere.

The context layer is the work; the surfaces are configuration.

  1. 01

    Model once

    Define metrics, relationships, and business logic in MDL. Connect 20+ sources, with dbt sync included.

  2. 02

    Pick your surfaces

    Embedded Threads for speed, the AI API for control, MCP for agents, Slack and Teams for reach.

  3. 03

    Ship white-label

    Apply your logo, color, and chat icon. Sign JWTs for per-user scoping. Go live in days, not quarters.

Multi-tenant by design

Every tenant sees exactly what they should. Provably.

Embedding analytics means putting your customers' trust on the line. Wren AI enforces the boundary in the engine, not in your application code.

IDENTITY

Signed JWTs

Your backend signs every embedded session with a shared secret. The key never reaches the browser.

SCOPING

Row-level and column-level controls

Access policies are enforced inside the engine at query time, per end user.

AUDIT

Full activity logs

Provable who asked what, and which query produced which number.

ISOLATION

Projects and per-app tokens

Separate tenants by project. Issue one API token per surface and revoke it independently.

Embed Wren AI

Your product. Governed answers.

Start with the Embedded AI API on any paid plan, or talk to us about Embedded Threads for the full white-label experience.

Start for freeSee pricing
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