Backed by $59M from Menlo, Lightspeed, Anthropic and other leading investors
Our collaborators and customers
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
Deploying Interpretability to Production with Rakuten: SAE Probes for PII Detection
October 28, 2025
Finding the Tree of Life in Evo 2
August 28, 2025
Discovering Undesired Rare Behaviors via Model Diff Amplification
August 21, 2025
Blog
Progress updates and product releases from the Goodfire team
October 2, 2025
You and Your Research Agent: Lessons From Using Agents for Interpretability Research
September 9, 2025
Goodfire Announces Collaboration to Advance Genomic Medicine with AI Interpretability
April 17, 2025
Announcing Our $50M Series A to Advance AI Interpretability Research
Contact us
Interested in Goodfire Ember?