Credible Data

What Credible Data does

Credible Data, Inc. is a Boulder, Colorado-based software company that builds a context engine and semantic platform for the AI era. The platform captures institutional knowledge, definitions, and analytical intent from an organization's data ecosystem and encodes it into versioned semantic models built on the open-source Malloy language. These models are then delivered in context to three consumption surfaces: BI tools (Tableau, Power BI, Looker) via a SQL API, customer-facing applications via a React Publisher SDK and REST APIs, and AI agents via a Model Context Protocol (MCP) Retrieval API with get_context and execute_query tools.

The product suite is organized into four solutions (AI Analytics, Embedded Experiences, Business Intelligence, and the underlying Semantic Platform) plus a Modeler Experience for building and governing semantic models with IDE integration (VS Code, Cursor), Git-based version control, automated testing, and CI/CD. The platform connects to data warehouses including BigQuery and Databricks, supports warehouse-native LLM inference via BigQuery ML (Gemini) and equivalents on Snowflake and Databricks, and enforces fine-grained access controls at the application, model, field, and row levels.

The business operates on a subscription-based platform model with annual billing and Order Form-based fees, supplemented by professional services for implementation, training, and project management. Distribution combines an invitation-based early access program (self-serve Get Access) with an enterprise Book a Demo motion and SAML SSO via Microsoft Entra ID and Google. The company is in early access with 1-10 employees, raised approximately $10.34 million in a January 2026 Rule 506(b) exempt offering led in part by K5 Global with 29 investors, and is pursuing SOC 2 Type I compliance alongside GDPR and CCPA-aligned privacy practices. Service is currently restricted from the EEA and UK.

Name

Credible Data

Legal name

Credible Data, Inc.

Website

https://credibledata.com

Company type

Private

Founded year

2025

Operating status

Operating

Headcount range

1–10 employees

Short description

Credible Data builds an AI-native context engine and semantic platform on the open-source Malloy language, encoding institutional knowledge into versioned models delivered to BI tools (Tableau, Power BI, Looker), embedded applications, and AI agents via MCP for data engineers, analytics teams, and AI engineers.

Ownership category

akta.pro rank

Product category

Semantic Data Platform

NAICS

Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computer Systems Design and Related Services (54151)

SIC

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

akta.pro industry

PRIMARYHDAEABAJ

Metadata, Catalog & Semantic Layer for Data Platforms

Hardware, Technology & Telecom/Enterprise Platforms & Databases/Data Warehousing, Lakehouse & Data Platforms

SECONDARYHDAEANAH

Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs)

Hardware, Technology & Telecom/Enterprise Platforms & Databases/Artificial Intelligence Platforms for Enterprise

Keywords

• Semantic data platform
• AI context engine
• Embedded analytics SDK
• Data warehouse integration
• Semantic modeling

Headquarters

HQ city

Boulder

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Platform Subscription: Infrastructure-as-a-service subscription model with non-exclusive, non-transferable rights to access and use the Platform during the Subscription Term. Subscription auto-renews for additional one-year periods unless 30-day notice is given. Fees are non-cancelable and non-refundable, invoiced in US dollars.
2. Professional Services: Implementation of data models and Applications on the Platform, training, and project management provided pursuant to Order Forms.

Pricing tiers

Go-to-market motion1 record

Distribution channels3 records

Marketing channels4 records

Core offering

Credible Data develops and sells an AI-powered semantic data platform ("Context Engine") built on the open-source Malloy modeling language. The platform captures institutional knowledge and encodes it into versioned semantic models that are delivered in context to dashboards, applications, and AI agents via three APIs: an MCP Retrieval API for AI agents, a Publisher SDK (React) for embedded analytics, and a SQL API for BI tool connectivity. Customers subscribe to the platform on annual terms, with optional professional services for implementation.

Product overview

Credible Data is a context engine and semantic platform for the AI era. The core offering consists of The Context Engine technology, which captures and encodes shared meaning (definitions, institutional knowledge, analytical intent) into semantic models built on the open-source Malloy language. The platform delivers these models through three purpose-built APIs: MCP API for AI agents, Publisher SDK (React) for embedded analytics, and SQL API for BI tools. Four named solutions target specific use cases: AI Analytics (for AI-powered analysis with LLMs), Embedded Experiences (for in-product analytics), Business Intelligence (for dashboards and self-service), and The Semantic Platform (the core foundation). The Modeler Experience provides the developer tooling for building and governing semantic models with Git-based version control and CI/CD.

Differentiator

Problem solved

Functional benefit

Segments4 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration8 records

AI capability9 records

Feature6 records

Scale indicators2 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• Sigma Computing: Sigma Computing is a cloud-native BI and analytics platform with spreadsheet-style UI on top of governed data models. It competes with Credible's Business Intelligence solution for delivering trusted, self-service analytics.
• dbt Labs: dbt Labs pioneered SQL-based data transformation and now ships the dbt Semantic Layer for governed metrics. Both target the same buyer (data teams) and the same job (defining metrics once, querying them everywhere) but compete on modeling language and execution model.
• Cube.dev: Cube.dev is a headless semantic layer platform that lets teams define metrics once and expose them via REST, GraphQL, and SQL APIs to BI tools and applications. It is the most direct competitor to Credible's SQL API + SDK + semantic model architecture.
• Atlan: Atlan is a data catalog and metadata platform that positions around active metadata, governance, and AI readiness. It overlaps with Credible's semantic-layer-plus-AI context positioning, especially in serving AI agents with trusted data context.

Broad incumbents

• Sisense: Sisense is an embedded analytics and BI platform that helps product teams ship data experiences inside their applications. It overlaps with Credible's Embedded Experiences solution and competes for embedded-analytics budget.
• ThoughtSpot: ThoughtSpot is an AI-driven analytics platform with natural-language search and embedded analytics. It overlaps with Credible's AI Analytics and Embedded Experiences solutions for delivering trustworthy, context-rich insights to business users and applications.
• Looker (Google Cloud): Looker pioneered the modern semantic layer (LookML) and is now part of Google Cloud. Several Credible founders are Looker alumni. Both products center on governed semantic models delivered to BI dashboards, though Looker is broader and embedded in the Google Cloud stack.
• Alation: Alation is a leading data catalog and governance platform that captures institutional knowledge about data assets. It is adjacent to Credible's context engine but focuses on cataloging rather than serving governed semantic models to AI agents and applications.

Emerging players

• Hex: Hex is a collaborative analytics and data science notebook platform with semantic-layer integrations. It addresses overlapping personas (data engineers, analysts, AI app developers) and increasingly emphasizes AI-powered analysis, similar to Credible's AI Analytics solution.
• Malloy (open source): Malloy is the open-source semantic-modeling language Credible is built on. It is both a foundation and a potential substitute: developers can adopt Malloy directly without paying for Credible's managed context engine, putting competitive pressure on Credible's enterprise value-add.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/credibledatahq
• LinkedInlinkedin.com/company/credibledata

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds2 records

Investors4 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 Credible Data