Trustible
Trustible builds purpose-built AI governance software that gives organizations clarity to adopt AI safely and at scale. Its platform helps regulated enterprises inventory AI, manage risk, comply with laws and standards, and make trust a provable part of their AI strategy.
At a Glance
- Regulated enterprises
- Fortune 500 and publicly traded companies
- Financial services
- Healthcare
- +3 more
AI Tools by Trustible
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Trustible
AI Governance and Compliance Platform
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Latest News
Trustible renews SOC 2 Type II compliance and unveils a Trust Center for customer transparency.
Trustible joins PACT AI as a founding member to scale trust in the AI economy.
Trustible announces it was mentioned in the 2026 Gartner Magic Quadrant for AI Governance Platforms.
Thalamus selects Trustible as its AI governance platform for GME recruitment AI.
Products & Services
Enterprise AI-governance system of record covering the full lifecycle of AI use cases, models, agents, and vendors, with embedded regulatory intelligence and policy frameworks.
Structured capture of AI use cases, models, agents, and vendors with risk-based triage and automated routing.
Risk and impact assessments, mitigation and incident tracking, vendor and model reviews, and governance documentation.
Post-deployment AI metrics collection, system monitoring, AI incidents, user feedback, and regulatory/vendor alerts.
Market Position
Trustible positions itself as an AI-native, purpose-built governance platform for regulated enterprises, rather than a repurposed GRC tool or a narrow point solution. Its differentiation is a single lifecycle system for intake, inventory, risk, monitoring, and compliance with expert governance intelligence embedded in workflows. Comparable AI-governance platforms include Credo AI, Holistic AI, Enzai, OneTrust, and IBM watsonx.governance.
Leadership
Founders
Gerald Kierce
CEO and co-founder. Before Trustible, he spent nearly a decade at FiscalNote across AI solutions, corporate development, product marketing, and customer success; earlier he worked in professional services at the Corporate Executive Board (now Gartner) and communications at Meridian International Center. He holds degrees in Entrepreneurship and Political Science from the University of Dayton.
Andrew Gamino-Cheong
CTO and co-founder. Previously a machine-learning engineering tech lead at FiscalNote, where he built machine-learning systems applying policy and AI to regulatory-risk mapping. He holds a bachelor's degree in Computer Science and Government from Georgetown University and a master's in Computer Science from the University of Maryland, College Park.
Executive Team
Gerald Kierce
CEO & Co-Founder
Leads product and customer strategy; former FiscalNote leader across AI solutions, corporate development, product marketing, and customer success.
Andrew Gamino-Cheong
CTO & Co-Founder
Leads engineering and platform vision; former machine-learning engineering tech lead at FiscalNote focused on policy and regulatory-risk applications.
Board of Directors
Founding Story
Trustible was started by two FiscalNote alumni in response to the gap between rapidly expanding enterprise AI adoption and organizations' limited ability to govern it: the company cited research that 77% of enterprises prioritized future AI regulation while only 6% had responsible-AI governance capabilities. It emerged from stealth in 2023 with a vision of making responsible AI governance a driver of safe, scalable adoption rather than a brake on innovation.
Business Model
Revenue Model
B2B enterprise software sold through a request-a-demo motion; revenue is generated from enterprise access to the AI governance platform and associated governance enablement/services.
Target Markets
- Regulated enterprises
- Fortune 500 and publicly traded companies
- Financial services
- Healthcare
- Insurance
- Technology companies
- Enterprise AI use-case intake, approval, and inventory management
- AI risk and impact assessment
- Third-party AI vendor and model governance
- Post-deployment AI monitoring and incident management
- Regulatory compliance and audit preparation
- Responsible adoption of generative and agentic AI
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