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On a mission to enable Trustworthy & Responsible AI

About Trustible

Trustible is a leading technology provider of responsible AI governance. Its software platform enables legal/compliance and AI/ML teams to scale their AI Governance programs to help build trust, manage risk, and comply with regulations.

Our Team.

Gerald Kierce

Co-Founder & CEO

Andrew Gamino-Cheong

Andrew Gamino-Cheong

Co-Founder & CTO

Anastassia Kornilova

Anastassia Kornilova

Director of ML Engineering

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Software Engineer

Kyle Reese

Software Engineer

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Director of Policy

Join our Team

Learn more about the Trustible culture and open roles.

Trustible is supported by
world class investors & advisors

Our partners and advisors are supporting us in our mission to enable organizations to confidently adopt AI technologies in a rapidly evolving regulatory environment.

VamosVentures

Julius Genachowski

Julius Genachowski

Managing Director at Carlyle, Former Chair of the Federal Communications Commission (FCC)

Jon Leibowitz

Former Chair of the Federal Trade Commission (FTC), Former Partner at Davis Polk

Larry Quinlan

Former Global CIO at Deloitte, Board Director at ServiceNow, JLL, Booking Holdings, UBS

Mike Gamson

CEO at Evozyne, Former CEO of Relativity, Former Head of Revenue at LinkedIn

Tim Hwang

Chairman & CEO at FiscalNote, Co-Founder at Nitra

Francisco Sanchez

Francisco Sanchez

Partner at Holland & Knight, Former U.S. Under Secretary of Commerce for Trade

John Bailey

Former Domestic Policy Advisor at The White House and U.S. Department of Commerce

Christine Keung

Christine Keung

Former Chief Data Officer for the City of San José, California

Jim Hunt

Managing Partner at Lavrock Ventures, Former CEO at Ernst & Young Technologies, Former President at Capgemini Technologies

Dennis Hirsch

Professor at The Ohio State University Law School and Director, Program on Data & Governance

Philip Resnik

Professor of Linguistics & Computer Science, University of Maryland

Dr. Vlad Eidelman

Dr. Vlad Eidelman

CTO at FiscalNote

RAI Institute

Proud members of the

Responsible AI Institute

Read our Member Announcement

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