Goodfire

The page presents the company’s latest research on interpreting and designing advanced AI systems.

Uncharted discoveries, unlocked from the models you built.

Selected rollouts of Gemma 3 12B on LongFact++ before and after RLFR to detect and reduce hallucinations.

Prima Mente’s epigenomics model achieved top performance in early Alzheimer’s detection but required narrowing down potential biomarkers for validation and FDA approval.

The page explains how sparse autoencoders (SAEs) work in practice, when to use alternatives like probes, and how to train an effective SAE for a specific model.

Often I meet seasoned software engineers who are interested in pivoting their careers into AI safety, and specifically AI safety research.

$1M in free Silico usage for academic and nonprofit researchers working on AI interpretability, alignment, and life sciences

The page explores the Dolci DPO dataset and the concepts it teaches models, using predictive data debugging to highlight them.

Goodfire is an AI interpretability research lab focused on understanding and intentionally designing advanced AI systems.

GitHubRepository owner

Goodfire, an AI research lab specializing in model interpretability, secures $150 million in Series B funding. The round values the company at $1.25 billion, reflecting investor confidence in its work on AI transparency tools. Based in San Francisco, Goodfire develops methods to improve understanding of machine learning models.

Feb 2026The SaaS NewsNews article

Goodfire Inc. secures $150 million in funding to advance its AI interpretability platform, which helps explain how artificial intelligence models arrive at decisions. The platform supports developers and enterprises in understanding and improving AI-driven processes.

Feb 2026SiliconANGLENews article

Goodfire secures **$150 million** in funding to advance its research on AI model analysis. The company focuses on improving transparency and interpretability in artificial intelligence systems. Investors back its mission to bridge gaps in AI comprehension for developers and enterprises.

Feb 2026PYMNTSNews article