Backed by $59M from Menlo, Lightspeed, Anthropic and other leading investors

Understand and intentionally design your AI

Goodfire is an AI interpretability research company focused on understanding and designing AI systems you can trust. Our mission is to advance humanity's understanding of AI to build safe and powerful AI systems.

Bringing engineering to AI development

Our platform (Ember) gives engineers direct control over AI model internals, enabling them to directly detect and design model behavior. Ember’s technology is built on state-of-the-art research, developed by interpretability leaders from organizations like OpenAI and Google DeepMind.

Detect problems with your model

Precisely understand and locate problems in your model

Design model behavior

Directly embed business rules into your model’s decision-making

Deploy lasting fixes

Interact with your newly designed model at production scale and efficiency

Research

We’re investing in fundamental research to uncover how neural networks work at their core, and turning those insights into real-world impact

Discovering Undesired Rare Behaviors via Model Diff Amplification

August 21, 2025

Understanding and Steering Llama 3 with Sparse Autoencoders

September 25, 2024

Towards Scalable Parameter Decomposition

June 28, 2025

Blog

Progress updates and product releases from the Goodfire team
April 17, 2025

Announcing Our $50M Series A to Advance AI Interpretability Research

Myra Deng

September 9, 2025

Goodfire Announces Collaboration to Advance Genomic Medicine with AI Interpretability

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February 20, 2025

Interpreting Evo 2: Arc Institute's Next-Generation Genomic Foundation Model

Myra Deng

Daniel Balsam

Liv Gorton

Nicholas Wang

Nam Nguyen

Contact us

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