Goodfire Raises $150M to Enhance AI Interpretability Platform

The funding will help the startup further develop its tools for understanding how large language models make decisions.

Published on Feb. 5, 2026

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Goodfire, a startup working to uncover how artificial intelligence models make decisions, has raised $150 million in a Series B funding round led by B Capital. The company, now valued at $1.25 billion, plans to use the funds to enhance its platform and finance AI interoperability research projects. Goodfire's platform aims to map out the internal components of large language models (LLMs) to better understand how they process data and make decisions, which can help identify and fix flaws in their design.

Why it matters

As AI models become more complex, it's increasingly important to have tools that can interpret how they work under the hood. Goodfire's platform provides researchers and developers with greater visibility into the inner workings of LLMs, which can lead to more reliable and transparent AI systems.

The details

Goodfire's platform has two main components: one that focuses on the LLM training phase to identify flaws in the workflow, and another that monitors model performance in production to reduce issues like AI hallucinations. The company has already worked with healthcare AI startup Prima Mente to analyze its Alzheimer's detection algorithm, discovering that it primarily considers the length of cfDNA fragments when making diagnoses, a factor not previously documented in scientific literature.

  • Goodfire raised $150 million in a Series B funding round on February 5, 2026.

The players

Goodfire Inc.

A startup working to uncover how artificial intelligence models make decisions, with a platform that maps out the internal components of large language models to improve interpretability.

B Capital

The venture capital firm that led Goodfire's $150 million Series B funding round.

Eric Schmidt

The former CEO of Google, who contributed to Goodfire's funding round.

Prima Mente Inc.

A healthcare AI startup that has worked with Goodfire to analyze its Alzheimer's detection algorithm.

Eric Ho

The CEO of Goodfire.

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What they’re saying

“Interpretability, for us, is the toolset for a new domain of science: a way to form hypotheses, run experiments, and ultimately design intelligence rather than stumbling into it.”

— Eric Ho, CEO, Goodfire (SiliconANGLE)

What’s next

Goodfire plans to use the funding to further enhance its platform and finance additional AI interoperability research projects.

The takeaway

Goodfire's $150 million funding round highlights the growing importance of AI interpretability tools as the complexity of large language models continues to increase. By providing researchers and developers with greater visibility into how these models work, Goodfire aims to enable the creation of more reliable and transparent AI systems.