A multidisciplinary team built for complex systems
As a Public Benefit Corporation, our commitment to public good isn't just marketing—it's built directly into our legal structure.
The Corporation exists to improve global equity in AI adoption and its benefits by designing, developing, and implementing technologies that prioritize digital rights and advance AI as a public interest technology. Equitable Labs (dba Goose FL), Specific Public Benefit
Katie leads Goose FL’s mandate, shared compliance infrastructure that lets institutions learn together without surrendering customer data, with equitable access to AI kept at the center of every deployment. A ForHumanity Fellow in AI governance, she works with NGO and government partners on financial-inclusion systems for underserved communities.
Ed builds the trust stack itself: federated orchestration, decoupled differential privacy and certified machine unlearning, engineered to the standard regulated institutions require. A machine learning and privacy technologist for over a decade, he was an early adopter of deep learning, is an IEEE-published author on privacy-preserving AI, teaches AI at the Milwaukee School of Engineering, and has advised governments, nonprofits and private industry.
Paul shapes the product so privacy, accountability and inclusion are built into the infrastructure from day one, never retrofitted. Two decades in enterprise technology, including a decade at Apple, a certified auditor for the EU AI Act and GDPR, a ForHumanity Fellow in AI Governance and Policy, and published in PECB Insights (Issue 51).
Lindsey translates the technology into measurable social and economic outcomes, leading impact strategy, partnerships and ecosystem engagement. Fifteen-plus years across government, policy and nonprofits, including scaling an international nonprofit from $2M to $18M.
Whether you are an institution ready to build, a regulator with questions, or a researcher who shares the mission, start the conversation.