Dan Balsam is Co-Founder and CTO at Goodfire, an AI interpretability research company building tools to decode and understand neural networks. Goodfire raised $50M Series A led by Menlo Ventures with participation from Anthropic in April 2025.

Dan earned a Master's in Computer Science from New York University and served as Head of AI at RippleMatch, where he led AI engineering teams and scaled the platform to millions of active users.

Dan is responsible for Goodfire's engineering and technical direction, leading research and development initiatives for the Ember platform. He focuses on scalable and secure model interpretability solutions that support enterprise needs.

Goodfire's Ember platform decodes neurons inside AI models, giving direct programmable access to their internal thoughts. The company collaborates with organizations like Arc Institute to extract novel biological concepts from DNA foundation models.

Goodfire raised $59M total funding across 2 rounds within one year of founding and is backed by Lightspeed, Anthropic, B Capital, and Work-Bench. The team comprises leading AI researchers from OpenAI and Google DeepMind pioneering mechanistic interpretability.