Embeddable

What Embeddable does

Embeddable is a developer-first embedded analytics platform that enables SaaS companies to build and ship customer-facing dashboards and conversational analytics experiences natively inside their own applications. The platform combines four integrated components: (1) a JavaScript SDK and native web-component architecture that embeds analytics into React, Vue, or plain HTML apps without iframes; (2) a Cube-based governed semantic layer that defines metrics once and enforces row-level security, multi-tenant isolation, and audit logging across queries; (3) an open-source, extensible component library of 30+ charting and analytics components that live in the customer's own repository under a "Dashboards as Code" model; and (4) a controlled no-code builder that lets product, design, and customer-facing teams assemble dashboards within developer-defined guardrails. The company also exposes AI-assisted prototyping and conversational self-serve, with AI-generated queries routed through the same governed semantic layer used by human-authored dashboards.

Embeddable operates a dual go-to-market: a self-serve product-led growth motion targeting developers via public docs, an open-source component library, and a 2,000+ member Slack community, alongside an enterprise field-sales motion ("Book a Demo") for mid-to-large SaaS accounts. Pricing is a flat monthly subscription with unlimited usage and no per-seat or per-viewer fees, with quote-based pricing for larger enterprise deployments. The company is SOC 2 Type II certified and GDPR compliant, and offers Managed Cube (EU or US), Self-Hosted Cube, and Cube Cloud deployment options.

Embeddable was founded in 2022 by Tom Gardiner and Harry Marshall, is headquartered in London (legal entity TMD Technology Limited), and serves customers including Monta, Resident Advisor, Scalapay, Fanatics, Playtomic, Fashion Cloud, and others across fintech, EV charging, music, retail, gaming, and sports verticals. The company raised a €6 million seed round in February 2025 led by OpenOcean, and has reported $1.5M in ARR as of 2025.

Name

Embeddable

Legal name

TMD Technology Limited

Website

https://embeddable.com

Company type

Private

Founded year

2022

Operating status

Operating

Headcount range

11–50 employees

Short description

Embeddable is a developer-first embedded analytics platform that enables SaaS companies to ship native, customer-facing dashboards and conversational AI experiences via an SDK and Cube-based semantic layer, sold on a flat unlimited-usage monthly subscription to product and engineering teams at companies from 4 to 40,000 employees.

Ownership category

akta.pro rank

Product category

Embedded Analytics Software

NAICS

Software Publishers (513210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Developer Tooling & SDK Platforms (BPAMAOAD)

akta.pro secondary industries

API-First Backend Platforms (BaaS/mBaaS & Serverless Backends) (HDAEAKAH), Developer Portals, SDKs & Documentation Platforms (BPAMADAG)

Keywords

• Embedded analytics software
• Customer-facing dashboards
• Developer analytics SDK
• Semantic layer platform
• Dashboard component library

Headquarters

HQ city

London

HQ country

United Kingdom

HQ region

Europe

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Subscription - Flat Monthly Pricing: Embeddable operates on a flat monthly subscription model with unlimited usage across all features and customer accounts. There are no per-seat, per-viewer, or per-user fees. This provides price predictability for SaaS companies as analytics adoption grows across customer accounts.

Pricing tiers

Go-to-market motion2 records

Distribution channels2 records

Marketing channels7 records

Core offering

Embeddable provides a developer-first embedded analytics platform that enables SaaS companies to build and ship customer-facing dashboards and conversational analytics directly into their applications using a JavaScript SDK and native web components (not iframes). The platform combines a Cube-based governed semantic layer, an open-source extensible component library, a no-code dashboard builder, and production-grade multi-tenant infrastructure (SOC 2 Type II, GDPR) under a flat monthly subscription with unlimited usage.

Product overview

Embeddable is a developer-first embedded analytics platform that enables SaaS companies to build and embed interactive, customer-facing dashboards directly into their applications. The platform is architected as a unified system combining four core components: (1) the Embeddable JavaScript SDK and Web Components for native frontend embedding without iframes; (2) a Cube-based semantic layer for governed data modeling, metric definitions, row-level security, and tenant isolation; (3) an open-source, extensible component library with 30+ analytics components plus support for custom-built components; and (4) a no-code dashboard builder (Custom Canvas) enabling non-technical teams to create dashboards within defined guardrails. Additional platform capabilities include Dashboards as Code (git-based version control and CI/CD workflows), production-grade multi-tenant infrastructure with SOC 2 Type II and GDPR compliance, and AI-assisted prototyping and conversational self-serve features. Pricing is a flat monthly subscription with unlimited usage.

Differentiator

Problem solved

Functional benefit

Products and services

• Embeddable SDK A JavaScript-based software development kit and web component architecture enabling developers to embed analytics dashboards natively into React, Vue, or plain HTML applications without using iframes. Provides full control over frontend behavior, theming, navigation, and shared application state with server-side security tokens for seamless authentication. Designed for product and engineering teams at SaaS companies.
• Cube Semantic Layer A Cube-based governed semantic layer that defines and manages access to customer data. Data models define metrics once for consistency, maintainability, and speed, with row-level security, multi-tenant permissions, and tenant-aware access control built in. Issues live read-only queries against customer databases with no data copy.
• World-Class Component Library An open-source, fully extensible library of 30+ analytics components (KPI charts, line charts, data tables, and others) that can be used as-is, customized, or replaced entirely with custom components built by the development team or AI agents. Components live in the customer's own repository.
• No-Code Dashboard Builder (Custom Canvas) A governed self-serve dashboard builder enabling customer-facing teams (product, design, marketing, customer success) to create and iterate on dashboards using drag-and-drop functionality without writing code, while staying within developer-defined guardrails, permissions, and data boundaries.
• Dashboards as Code A code-first workflow where analytics experiences (dashboards, models, components) are defined, version-controlled, and managed in a developer's own repository, reviewed via standard git workflows, and deployed through CI/CD pipelines alongside application code.
• Production-Grade Infrastructure Infrastructure layer handling multi-tenant security, row-level security, multi-tier caching, full audit logging, encrypted connections, SOC 2 Type II compliance, and GDPR compliance. Includes Managed Cube (cloud-hosted with EU or US options), Self-Hosted Cube, and Cube Cloud deployment models for data residency and control.

Quantifiable outcome

• 90–95% faster feature delivery for customer-facing analytics vs building in-house (Nucleus Research)
• +4 more outcomes

Named customers17 records

Segments4 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature8 records

Partnerships

One partnership is on record.

• Cube (Cube.dev)coreTechnology or IntegrationEmbeddable is built on Cube's semantic layer under the hood. Cube provides the data modeling, query acceleration, pre-aggregation, and semantic layer infrastructure that powers Embeddable's governed analytics. This is described as a significant architectural advantage.

Scale indicators6 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Mode Analytics: Analytics platform combining BI, data science notebooks, and embedded dashboards. Targets SaaS and enterprise analytics teams with similar developer-friendly positioning.
• Sisense: Long-standing embedded analytics and BI platform targeting ISVs and SaaS vendors. Direct competitor to Embeddable in the customer-facing analytics category, with a heavier, more enterprise-oriented stack.
• ThoughtSpot: AI-driven analytics platform with embedded and SaaS-analytics offerings. Targets similar SaaS product teams and competes with Embeddable in customer-facing analytics use cases.
• Cube (Cube.dev): Open-source semantic layer platform that powers Embeddable's core data modeling, query acceleration, and pre-aggregation. As both a technology partner and an adjacent standalone product, Cube is the most directly comparable company in the modern data-app stack.

Broad incumbents

• Tableau: Salesforce-owned BI platform with embedded analytics capabilities. Explicitly named by Embeddable as a competitor and serves similar customer-facing analytics use cases at large enterprises.
• Looker: Google Cloud's BI and embedded analytics platform. Competes directly with Embeddable for SaaS-embedded use cases but as part of a much broader GCP analytics suite.
• Microsoft Power BI Embedded: Microsoft's embedded analytics offering as part of the Power BI / Azure ecosystem. Competes on price and Microsoft-enterprise distribution, though its embedding model is more iframe-oriented than Embeddable's native components.

Emerging players

• Hex: AI-powered data notebook and analytics platform with embedded/app-style delivery. Adjacent competitor with strong developer mindshare and a similar AI-native product narrative.
• Preset (Apache Superset): Commercial cloud product built on Apache Superset, offering embedded analytics for SaaS companies. Competes with Embeddable in the developer-friendly, open-source-rooted segment.
• Metabase: Open-source analytics and BI platform popular with SaaS product teams for embedded use cases. Lower-cost alternative to Embeddable, particularly for startups and SMBs.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/embeddable-hq

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Funding overview

Funding rounds1 record

Investors3 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Embeddable