What is an embedded BI platform?

An embedded BI platform puts business intelligence - dashboards, metrics, reports and self-serve exploration - inside your own application, so customers use it without leaving your product. Embeddable is built for SaaS teams: it renders natively in your app (no iframe) on top of a governed data layer.

Can customers self-serve BI and build their own dashboards?

Yes, within guardrails you set. With Custom Canvas you define the datasets, charts and rules, and your users create, customise and save their own dashboards and report views inside your product. They can drag, drop, add, remove and resize charts while everything stays filtered to only the data they are allowed to see, and each user's dashboard is stored and restored for their next visit.

How do I embed BI dashboards in my app?

Load Embeddable's web component script and place an element in your page, passing it a security token from your server. It renders in your application's own DOM with no iframe, and works in plain HTML, React, Next.js, Vue and Angular.

What is Embeddable's pricing model?

Embeddable is a flat monthly subscription with unlimited usage and every feature included. Pricing is based primarily on project scope, not on active users, dashboard views or query volume, so costs stay predictable as you grow. Speak to the team and, after a short scoping conversation, you'll get a tailored quote.

Embedded BI

Modern, embedded business intelligence tools for SaaS, built for the AI era

An embedded BI platform with a headless BI core: give your users native dashboards, governed self-serve analytics, and conversational data experiences - with Embeddable handling security, permissions, performance, and scale.

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SOC 2 Type II & GDPR-compliant · EU or US hosting · In production at companies from 4 to 40,000 employees

Governed self-serve

Governed self-serve embedded BI for multi-tenant SaaS

Follow one request from sign-in to database, and see where the data model, permissions and row-level security each do their job.

1Your appA signed-in user opens a dashboard.

2Your serverFetches a security token from the Tokens API, passing a server-side securityContext such as { userId, tenantId }. Your API key stays on your server.

3<em-beddable>A web component in your page, rendered with that token. No iframe.

4EmbeddableEvery data request is resolved against your Cube-based data models.Data modelsEach metric defined once.Row-level securityFilters applied to every query. If one can't be applied, the query fails.CachingQuery results cached in front of your database.

5Your databaseReached through a read-only account. Live queries, never a copy of your data.

Data model: Your Cube-based data models are one governed semantic layer: each metric is defined once, so every dashboard and every chat answer agrees, across users, teams and views.
Permissions: Security filters passed in the token are enforced on every query, so each tenant's users only see their own rows - and if a filter can't be applied, the query fails instead of leaking data.
Self-serve: Self-serve then works inside those guardrails: with Custom Canvas you choose the datasets and charts on offer, and users build and save their own dashboards and report views, still filtered to only their data, without waiting on engineering.
Trust: Your database stays yours: Embeddable connects through a read-only account, never writes to or alters your data, runs live queries instead of copying it, and is SOC 2 Type II certified with EU or US hosting.

Used by top companies

Built for developers, loved by product and data teams. In production at companies from 4 to 40,000 employees.

Monta — Brian Rountree, VP of Engineering

Playtomic — Marco Rossi, Director of Data

Fashion Cloud — Niklas Reher, Sr. Business Analyst

"It's a missing part of the ecosystem"

Steve Morin, Director of Engineering, Asana

"We have been able to dramatically improve our dashboard product offering in our web applications."

Brian Rountree, VP of Engineering

"It helped us change internal ownership, dramatically reducing time to market and opening up new possibilities"

Marco Rossi, Director of Data

"Our platform's 'Insights' feature is a USP that has left customers incredibly pleased and impressed."

Niklas Reher, Sr. Business Analyst

"It's a missing part of the ecosystem"

Steve Morin, Director of Engineering, Asana

"We have been able to dramatically improve our dashboard product offering in our web applications."

Brian Rountree, VP of Engineering

"It helped us change internal ownership, dramatically reducing time to market and opening up new possibilities"

Marco Rossi, Director of Data

"Our platform's 'Insights' feature is a USP that has left customers incredibly pleased and impressed."

Niklas Reher, Sr. Business Analyst

"It's a missing part of the ecosystem"

Steve Morin, Director of Engineering, Asana

"We have been able to dramatically improve our dashboard product offering in our web applications."

Brian Rountree, VP of Engineering

"It helped us change internal ownership, dramatically reducing time to market and opening up new possibilities"

Marco Rossi, Director of Data

"Our platform's 'Insights' feature is a USP that has left customers incredibly pleased and impressed."

Niklas Reher, Sr. Business Analyst

"It's a missing part of the ecosystem"

Steve Morin, Director of Engineering, Asana

End to end

How it works

A suite of embedded BI tools for SaaS teams that need native, customer-facing analytics without iframes.

your-repo/
- components
  - datatable.tsx
  - kpichart.tsx
  - linechart.tsx
- data-models
  - accounts.yml
  - usage.yml
  - transactions.yml
- dashboards
  - executive-overview.yml
  - sales-performance.yml
  - usage-analytics.yml
A code-first foundation
Data models and components live in your own repo - version-controlled, reviewed, and pushed to Embeddable via the SDK.
your-repo/
- components
  - datatable.tsx
  - kpichart.tsx
  - linechart.tsx
- data-models
  - accounts.yml
  - usage.yml
  - transactions.yml
- dashboards
  - executive-overview.yml
  - sales-performance.yml
  - usage-analytics.yml
A world-class component library
Open source and fully extensible. Use ours, customize, or write your own - by hand or with an agent.
+ 30 more · all open source, all in your repo
your-repo/
- components
  - datatable.tsx
  - kpichart.tsx
  - linechart.tsx
- data-models
  - accounts.yml
  - usage.yml
  - transactions.yml
- dashboards
  - executive-overview.yml
  - sales-performance.yml
  - usage-analytics.yml
A governed semantic layer
Cube-based data models govern access and define each metric once - so every dashboard and chat answer agrees.
accounts.yml
```
cubes:
  - name: accounts
    measures:
      - name: revenue
        type: sum
    dimensions:
      - name: tier
        type: string
```
8 dashboards
AI chat
RLS
your-repo/
- components
  - datatable.tsx
  - kpichart.tsx
  - linechart.tsx
- data-models
  - accounts.yml
  - usage.yml
  - transactions.yml
- dashboards
  - executive-overview.yml
  - sales-performance.yml
  - usage-analytics.yml
Trusted, scalable data experiences
Models and components combine into the experiences your users see - dashboards and AI chat built from the same governed foundation.
your-repo/
- components
  - datatable.tsx
  - kpichart.tsx
  - linechart.tsx
- data-models
  - accounts.yml
  - usage.yml
  - transactions.yml
- dashboards
  - executive-overview.yml
  - sales-performance.yml
  - usage-analytics.yml
Self-serve dashboards
Native, interactive dashboards - drilldown, filters, and self-serve included - built in code, our no-code builder, or via an agent.
executive-overview.yml
```
name: Executive overview
models: [accounts, transactions]
components:
  - kpichart:
      value: accounts.revenue
  - linechart:
      data: transactions
```
Why did revenue dip in March?
Two enterprise renewals slipped to April. Usage held steady, so April recovers the gap.
accounts.ymlRLS enforced
AI chat, grounded in your data
Users ask in plain language and get answers as text or live charts, without leaving your product. Grounded in your semantic layer, respecting row-level security. Bring your own LLM.
your-app.html
<em-beddable token="49fe..."/>
Native embedding in one tag
One web component drops into any app - React, Vue, plain HTML. Native, not an iframe. Server-side tokens scope every view to the signed-in user.
Multi-tenant secure
Row-level security
Fast at scale
Multi-tier caching
Fully audited
Every query logged
Controlled self-serve
Within your guardrails
Versioned & reviewed
Everything in git
SOC 2 Type II
Enterprise-grade
Production-ready from day one
Multi- and single-tenant secure, fully audited, SOC 2 Type II. We handle the hard infrastructure so you can focus on the experience.
That's why we're trusted in production by companies from 4 to 40,000 employees.

See it step by step - the developer walkthrough

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Loved by developers

What customers say

Brian Rountree

VP Engineering, Monta

"We have been able to dramatically improve our dashboard product offering in our web applications and now have a solid foundation to iterate"

Read case study

Ritchie Cargill

Tech Lead, Resident Advisor

"Using Embeddable is making it easier & faster to build dashboards for our customers - making changes in a no-code builder without engineering input"

Read case study

Brian Williams

CTO, mpathic AI

"Embeddable has provided us with the flexibility and speed to enhance our analytics without significant development overhead"

Read case study

Pricing

Unlimited usage for a fixed price

A flat monthly subscription with unlimited usage, every feature, and complete price-predictability.

Predictable monthly costs - without surprises
No usage-based pricing - scale freely

Startup / Early stage
Embed your first dashboard in production in days, not quarters
Scale-up / Mid-market
Expand across teams and products with more structure and control.
Enterprise
Advanced deployments with security, scale, and customization.

Every plan starts with a short call and a guided PoC on your own data. For production, speak to the team for a quote.

See pricing

FAQs

In the sense most teams mean, yes. The governed data layer - Cube-based data models, row-level security, caching and the Tokens API - is separate from the user interface. The interface is your own React components, built on Embeddable's headless component framework (in effect, standard React with Embeddable configuration files), so the look and behaviour are yours. Embeddable also ships a production-ready component suite, Remarkable Pro, and an optional no-code dashboard builder, for teams that want them rather than building every chart and dashboard in code.

Your server requests a security token from the Tokens API, passing a server-side securityContext and, if you want global filters, security filters such as a tenant ID. Embeddable enforces those filters on every query automatically, and if a filter can't be applied the query fails rather than returning another tenant's rows. For finer control you can write SQL-based security into your data models, or use access policies for role-based access. It works with both multi-tenant (shared database) and single-tenant (database per customer) architectures.