Funding

Kyle Nesbit Co-Founded Credible Data Raises $10M in Seed Funding

Jul 29, 2026 | By Devin Jacobs

SUMMARY

Credible Data has raised $10 million in Seed funding with backing from Gradient, SignalFire, K5 Global, and other investors.
Credible Data develops an enterprise AI platform that helps businesses build reliable AI systems using trusted and governed business data.
The company will use the funding to expand its AI platform and improve trusted AI solutions for enterprise customers.

Credible Data, a Boulder, Colorado-based enterprise AI infrastructure startup, has raised $10 million in Seed funding.

The round was backed by Gradient, SignalFire, K5 Global, Godard Abel, Wes McKinney, Alex Dean, and SV Angel.

The fresh capital will be used to accelerate the expansion of its business context engine platform, helping enterprises build more reliable and trustworthy AI systems powered by governed business data.

Funding Snapshot

Metric	Details
Fundraise Amount	$10 Million
Valuation	Undisclosed
Company	Credible Data
Sector	Enterprise AI Infrastructure
Headquarters	Boulder, Colorado, USA

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About Credible Data

Founded in 2025 by Kyle Nesbit, Credible Data develops a business context engine designed for enterprise AI applications. The company is built on Malloy, an open-source semantic modelling language that transforms governed metrics, definitions, entities, and relationships into executable business context for AI systems.

Its platform analyses how enterprises use their data through real-world queries and edge cases to create a universal and governable semantic model. This enables AI agents, analytics tools, and applications to generate consistent, trustworthy outputs while maintaining flexibility and avoiding vendor lock-in.

Core offerings include:

Business context engine for enterprise AI.
Semantic modelling using Malloy.
Governed data infrastructure for AI agents.
Secure and auditable enterprise analytics capabilities.

Core Technologies / Products / Services

Capability/Product	Application/Use Case
Business Context Engine	Trusted AI outputs across enterprise systems
Semantic Modelling Platform	Standardising business definitions and metrics
Governed AI Infrastructure	Secure AI deployment at scale
Enterprise Analytics Layer	Consistent and auditable business insights

Leadership Comments

Credible Data CEO and founder Kyle Nesbit said, "Every organization attaches its own meaning to its data -- even a term as familiar as 'revenue' can mean completely different things from one company to the next. AI can't be trusted with enterprise data until it understands that meaning. The winners in enterprise AI will be the ones who deliver their data's meaning as context wherever decisions get made, without locking themselves into a single vendor's stack. That's what we've built at Credible Data."

Peter Nummerdor, SVP of Product for VideoAmp, a Credible Data customer, said, "Our planning and measurement drives decisions by some of the largest companies in the advertising industry, so every insight our AI gives has to be consistent, defensible and grounded in fact. Credible gives our AI systems the same governed understanding of our metrics that our best analysts carry in their heads.

Gradient General Partner Zach Bratun-Glennon said, "Existing data warehouse and pipeline solutions were never built for AI. As enterprises rush to deploy AI throughout their organizations, they are finding their ability to trust this new technology undermined by conflicting outputs stemming from a lack of consistent meaning applied to their data.