Goodfire develops tools and methods that let researchers peer inside neural networks, identify the mechanisms driving behavior, and precisely retrain or intervene on those components. The company’s upcoming "model design environment" aims to let users debug and intentionally design AI systems at scale, reducing issues such as hallucinations and enabling targeted behavior changes. Beyond model steering, Goodfire applies its interpretability pipeline to scientific foundation models; in partnership with groups like Mayo Clinic and Prima Mente it recently uncovered a novel class of Alzheimer's biomarkers. The team is composed of former DeepMind and OpenAI researchers and leading academics from Stanford, Harvard, and UC San Diego. Goodfire positions itself as a research-first “neolab,” arguing that deep understanding—not just scale—is required for safe, powerful AI. The latest financing values the company at $1.25 billion and brings its total backing to more than $200 million, providing capital to accelerate core product development, expand life-science collaborations, and pursue fundamental interpretability research.

Total raised

$207M

Funding rounds

3

Latest round

Series B

Latest activity

Feb 2026