Goodfire

Goodfire is an AI interpretability research lab developing scientific methods and tools to understand and intentionally design advanced AI systems. The company’s work aims to reveal how neural networks operate internally, helping teams move beyond guesswork in model development. Its product, Silico, is an interpretability platform and agent that helps users explain, debug, and control model behavior using research-based methods and infrastructure. Silico supports large language models, life sciences, robotics, and vision, and can be downloaded for macOS or brought to a team’s own infrastructure.

Goodfire’s research focuses on uncovering neural networks’ internal structure, diagnosing unwanted behaviors, and guiding training toward intended outcomes. Its projects include interpreting model representations and parameters, tracing behaviors back to training data, and using interpretability to reduce hallucinations. The company also reports research applications in life sciences, including identifying potential Alzheimer’s biomarkers and analyzing genetic variants associated with disease. Through its platform, research, and team-focused access options, Goodfire helps AI developers investigate model behavior and pursue more precise, interpretable approaches to building and improving AI.