Winner of the Embedded Analytics Solution of the Year at the Data Breakthrough Awards 2026
Dashboards live alongside your models and components. Full history, branches, PR reviews. No drift between code and configuration.
Iterate from your terminal with Claude Code, Cursor, or Codex. YAML is LLM-friendly by design - the whole dashboard is one file an agent can reason about.
Edits to .embeddable.yml hot-reload in embeddable:dev. No page refresh, no rebuild.
Define, iterate, and deploy entirely in code. Use the builder when you want to - never required.
Copy a YAML block to spin up a new dashboard or variant. Stamp out ten as easily as one
From file to deployed dashboard, inside the workflow you already use
Data models and components that live in your own repo, version-controlled and reviewed. Developers and agents can extend and push these assets to Embeddable using the SDK.
Open source and fully extensible. Use ours, customize, or write your own — by hand or with an agent.
Cube-based data models define and manage access to your data. Define metrics once yourself or via an AI agent - for consistency, maintainability, and speed.
cubes: - name: accounts measures: - name: revenue type: sum dimensions: - name: tier type: string
Models and components combine into native data experiences - complete with drilldown, self-serve, and conversational insights - in code, our no-code builder, or by asking an agent.
name: Executive overview models: [accounts, transactions] components: - kpichart: value: accounts.revenue - linechart: data: transactions
One web component drops into any app - React, Vue, plain HTML. Native, not an iframe. With server-side security tokens for a seamless experience.
Multi-and-single-tenant secure, fully audited, SOC 2 Type 2. We handle the hard infrastructure so you can focus on the experience.
A code-first foundation
Data models and components that live in your own repo, version-controlled and reviewed. Developers and agents can extend.
A world-class component library
Open source and fully extensible. Use ours, customize, or write your own - by hand or with an agent.
A governed semantic layer
Cube-based data models define and manage access to your data. Define metrics once yourself or via an AI agent - for consistency, maintainability, and speed.
cubes: - name: accounts measures: - name: revenue type: sum dimensions: - name: tier type: string
Dashboards, composable in code
Models and components combine into native data experiences - complete with drilldown, self-serve, and conversational insights - in code, our no-code builder, or by asking an agent.
name: Executive overview datasets: [accounts, transactions] widgets: - kpichart: value: accounts.revenue - linechart: data: transactions
Native embedding in one tag
One web component drops into any app — React, Vue, plain HTML. Native, not an iframe. With server-side security tokens for a seamless experience.
Production-ready from day one
Multi-and-single-tenant secure, fully audited, SOC 2 Type 2. We handle the hard infrastructure so you can focus on the experience.
Build, Test, Deploy
Run `embeddable dev` to test your dashboards. Iterate directly or with Claude Code or other LLMs. Hot-reload as you edit.
Run `embeddable push` to create an immutable saved version. Embed in your platform via a web component (no iFrames). Learn more. Interactive, on-brand dashboards with self-serve enabled. All defined in code.
More teams now use AI tools to scaffold dashboards, models, and UI faster. Embeddable is built for that reality: code stays in your repo, the integration path is programmatic, and the trust layer underneath handles permissions, auditability, and scale.
Build remarkable analytics experiences
Embeddable is registered as TMD Technology Limited (no. 13856879), at International House, 142 Cromwell Road, London, SW7 4EF.
