Goodfire
Category: AI Safety
An AI interpretability platform and research lab dedicated to 'decoding' neural networks to make large language models transparent, steerable, and debuggable. Goodfire was founded in 2024. The company is led by Eric Ho. Based in San Francisco, USA. Team size: 50-100. Total funding raised: $207.0M. Latest round: Series B. Key investors include B Capital, Menlo Ventures, Lightspeed Venture Partners, Anthropic, Salesforce Ventures, South Park Commons, DFJ Growth, Juniper Ventures, Wing Venture Capital, Eric Schmidt.
- Founded
- 2024
- Headquarters
- San Francisco, USA
- Team size
- 50-100
- Total funding
- $207.0M
Value proposition
Transforms AI from an opaque 'black box' into a transparent system by allowing developers to visualize, understand, and surgically edit the internal features and logic of a model without retraining.
Products and solutions
Silico (platform for intentional model design / interpretability IDE), Silico for LLMs, Silico for life sciences, Silico for robotics & vision, Mechanistic interpretability research toolkit
Unique value
Moves beyond traditional AI observability (monitoring outputs) to 'mechanistic interpretability,' which maps specific neurons to human-understandable concepts, effectively providing an 'X-ray' for AI logic.
Target customer
AI labs, enterprise developers building high-stakes LLM applications, AI safety researchers, and regulatory compliance bodies.
Industries served
Artificial Intelligence, Software Development, Cybersecurity, Financial Services, Healthcare & Life Sciences
Technology advantage
Led by the former founders of Google DeepMind’s mechanistic interpretability team; holds a unique strategic position as the first-ever startup investment recipient from Anthropic, providing deep access to frontier model architectures.
How they differentiate
Goodfire differentiates through 'mechanistic interpretability,' moving beyond black-box monitoring to map specific neurons to human-understandable concepts. This allows for 'surgical editing' of model behavior without retraining, whereas competitors typically focus on external evaluation (Scale AI) or output-based observability (Arize AI).
Main competitors
Scale AI, Arize AI, Arthur AI
Key partnerships
Anthropic (strategic investor, Series A), Arc Institute (Evo 2 interpretability), Mayo Clinic (genomic/clinical interpretability), Microsoft, Prima Mente, Rakuten
Notable customers
Arc Institute, Mayo Clinic, Microsoft, Prima Mente, Rakuten
Major milestones
$7M Seed led by Lightspeed (Aug 2024), Anthropic's first direct startup investment (Series A Apr 2025), $50M Series A led by Menlo Ventures (Apr 2025), $150M Series B at $1.25B valuation led by B Capital (Feb 2026), Evo 2 interpretability work published in Nature with Arc Institute (Mar 2026), Introduced Silico intentional model design platform (~Apr 2026), Mayo Clinic collaboration / EVEE genetic variant interpretability (2025–2026), SOC 2 Type II certification (May 2026)
Growth metrics
Reached a $1.25 billion valuation within two years of founding; first-ever startup to receive direct investment from Anthropic.
Market positioning
Category leader in AI safety and interpretability infrastructure for frontier model developers.
Geographic focus
Global (Headquartered in San Francisco, USA)
Patents and IP
Proprietary Silico platform architecture and mechanistic interpretability / feature-extraction methods (specific public patent filings not disclosed).
About Eric Ho
Eric Ho is the Co-founder and CEO of Goodfire. He is a seasoned entrepreneur who previously co-founded and served as CEO of RippleMatch, an AI-powered recruiting platform, for over seven years. Under his leadership, RippleMatch scaled to over $10M in ARR and raised significant venture capital from investors like Goldman Sachs and G2 Venture Partners. His earlier career includes experience as an Investment Banking Summer Analyst at Morgan Stanley and leadership roles at Yale University.
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Official website: https://www.goodfire.ai/
