How much funding has Credible Data raised?

Credible Data has raised $10M in total funding. Their latest funding round was Seed. Key investors include Gradient, SignalFire, K5 Global, Godard Abel, Wes McKinney, Alex Dean, SV Angel.

Where is Credible Data headquartered?

Credible Data is headquartered in Boulder, Colorado. The company has a team of 2-10 people.

What does Credible Data do?

Credible Data operates in the AI Infrastructure sector. AI context engine that captures governed business metrics, definitions, and relationships and delivers them as trusted context to AI agents, analytics tools, and applications. Captures what enterprise data means (definitions, metrics, business rules, relationships) and delivers it as governed context to AI agents and applications, eliminating inconsistent AI answers caused by missing business context.

When was Credible Data founded?

Credible Data was founded in 2025. It is based in Boulder, Colorado.

Who is the CEO of Credible Data?

Kyle Nesbit is the CEO of Credible Data. The company was founded in 2025.

Where is Credible Data located?

Credible Data is headquartered in Boulder, Colorado.

What funding stage is Credible Data at?

Credible Data is currently at the Seed stage.

How many employees does Credible Data have?

Credible Data has approximately 2-10 employees.

Credible Data

Category: AI Infrastructure

AI context engine that captures governed business metrics, definitions, and relationships and delivers them as trusted context to AI agents, analytics tools, and applications. Credible Data was founded in 2025. The company is led by Kyle Nesbit. Based in Boulder, Colorado. Team size: 2-10. Total funding raised: $10M. Latest round: Seed. Key investors include Gradient, SignalFire, K5 Global, Godard Abel, Wes McKinney, Alex Dean, SV Angel.

Founded: 2025
Headquarters: Boulder, Colorado
Team size: 2-10
Total funding: $10M

Value proposition

Captures what enterprise data means (definitions, metrics, business rules, relationships) and delivers it as governed context to AI agents and applications, eliminating inconsistent AI answers caused by missing business context.

Products and solutions

AI Context Engine (delivers governed business context to AI agents via MCP and APIs), Business Intelligence (semantic-powered dashboards), Embedded Analytics (governed data experiences in customer products), Engineering Meaning (AI-assisted semantic model building), Malloy Publisher (open-source semantic model server)

Unique value

Open-source Malloy foundation (portable semantic code, not proprietary metadata); built by ex-Google data infrastructure leaders; AI-first semantic modeling with natural language model building; vendor-independent context delivery across any AI agent, BI tool, or application.

Target customer

Enterprise data teams, AI engineers, and analytics teams needing governed, consistent business context for AI agents and analytics tools

Industries served

Enterprise AI, Advertising/Media (VideoAmp), Healthcare (HumanGood), E-commerce (Hairburst, Bars.com), Food Delivery (Just Eat Takeaway.com), Cybersecurity (Augment Risk), Technology (G2)

Technology advantage

Built on Malloy (open-source semantic modeling language by Looker founder Lloyd Tabb); distributed architecture with separate control/data planes; MCP (Model Context Protocol) support for AI agents; AI-assisted semantic model building via natural language; zero-downtime version promotion; multi-zone Kubernetes deployment; role-based access controls and governance; portable semantic models (not vendor-locked).

How they differentiate

Unlike proprietary semantic layers (dbt, Cube, AtScale) that lock metadata into vendor-specific formats, Credible is built on Malloy — an open-source semantic modeling language that stores business context as portable code. The platform is AI-native: designed from the ground up for AI agents as first-class consumers, with MCP support, get_context API, and AI-assisted model building. Founded by ex-Google data infrastructure leaders who built BigQuery and integrated Looker.

Main competitors

dbt Semantic Layer (MetricFlow), Cube (Cube Cloud), AtScale

Key partnerships

Malloy open-source ecosystem (founded by Lloyd Tabb, Looker co-founder), Open Semantics Interchange working group, Google Cloud BigQuery integration heritage

Notable customers

VideoAmp, G2, HumanGood, Just Eat Takeaway.com, Hairburst, Bars.com, Augment Risk

Major milestones

2025: Company founded by Kyle Nesbit (ex-Google), 2026-07-28: Raised $10M Seed from Gradient, SignalFire, K5 Global and angels including Wes McKinney (pandas) and Godard Abel (G2 CEO), Open-sourced Malloy Publisher (semantic model server), Launched AI Context Engine with MCP support for AI agents

Market positioning

Early-stage AI-native semantic layer company competing with established semantic layer vendors (dbt, Cube, AtScale, Looker/LookML) by differentiating on open-source portability, AI-first architecture, and enterprise governance for AI agent workloads.

Geographic focus

United States (Boulder, Colorado) with global customer base

About Kyle Nesbit

Ex-Google (17 years, led Business Intelligence and Data Analytics at Google Cloud, spearheaded Looker integration into Google Cloud, Uber Tech Lead for BigQuery backplane and AI/semantic modeling); Ex-Gradient (Forward Deployed Engineering)

Latest news about Credible Data

Credible Data raises $10M seed to deliver trusted business context for enterprise AI

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Official website: https://credibledata.com