OneTrust AI Governance
Turn AI policy into enforceable controls across homegrown and third-party AI systems
AI governance platform built for regulated enterprises
Our assessment — not a user rating. How we score
Toolglade take: A serious, enterprise-grade AI governance system of record with strong regulatory intelligence and human expert support, best suited to regulated organizations rather than small teams or casual buyers.
Trustible is an AI governance platform designed for regulated enterprises that unifies AI intake, risk and impact assessment, continuous monitoring, and regulatory compliance in a single system of record. It uses structured, risk-based workflows to triage every AI use case, model, agent, and vendor, so low-risk AI moves quickly while high-risk systems receive full review. Agentic workflows handle repetitive work while human experts and curated regulatory intelligence keep teams in control. Controls map once to frameworks including the EU AI Act, NIST AI RMF, and ISO 42001.
Trustible is an enterprise AI governance platform that centralizes the full AI lifecycle, from intake and inventory through risk assessment, continuous monitoring, and regulatory compliance. It routes every AI use case, model, agent, and vendor through structured, risk-based workflows so low-risk AI can move fast while high-risk systems get full scrutiny, all backed by an always-on audit trail. Founded by former FiscalNote leaders Gerald Kierce and Andrew Gamino-Cheong, Trustible is a Washington DC area Public Benefit Corporation. It pairs agentic workflows with expert-curated regulatory intelligence and hands-on enablement, mapping controls once to satisfy frameworks such as the EU AI Act, NIST AI RMF, and ISO 42001.
Trustible is an AI governance platform built for regulated enterprises that centralizes the full AI lifecycle from intake to compliance. It routes AI use cases, models, agents, and vendors through structured risk-based workflows and generates always-on audit evidence. The platform maps controls once to frameworks like the EU AI Act, NIST AI RMF, and ISO 42001. It combines agentic workflows with human experts and continuously updated regulatory intelligence. Founded by former FiscalNote leaders, it is a Washington DC area Public Benefit Corporation used by enterprises across defense, technology, finance, healthcare, and insurance.
Trustible is an AI-native Public Benefit Corporation headquartered in the Washington DC area, founded by Gerald Kierce and Andrew Gamino-Cheong, both former early employees and executives at FiscalNote. The company emerged from stealth in 2023 to help enterprises manage AI risk and comply with evolving laws and standards, and it positions trust as a provable part of an AI strategy.
A defining trait is Trustible focus on regulatory intelligence: its team of AI governance experts curates AI risk, regulatory, and technical research that is updated continuously inside the platform. This lets governance teams keep pace as rules such as the EU AI Act and various US and global frameworks evolve. Trustible reports customers across regulated sectors including defense, technology, and nonprofit, and cites logos such as Leidos, Nuix, and Ashoka.
The platform spans the full governance lifecycle across four pillars: Intake captures every AI use case, model, agent, and vendor and routes each by risk automatically; Manage Risk scores risk, runs assessments, and orchestrates reviews with expert intelligence at each decision point; Monitor watches internal AI performance and external risk signals with alerts that trigger governance actions; and Comply maps controls once to satisfy multiple frameworks with audit-ready evidence generated as work happens.
Trustible blends agentic workflows that automate heavy lifting with human experts who provide judgment and context, surfaced through a single real-time workspace that includes an AI assistant, inventory views, risk level distributions, mitigation coverage, and framework readiness dashboards. Implementation follows a structured 30-60-90 day plan, and the company reports outcomes such as faster AI intake, more use cases approved, and reduced cycle times, alongside a SOC 2 posture and a mention in the 2026 Gartner Magic Quadrant for AI Governance Platforms.
Trustible targets regulated enterprises and their AI governance, risk, compliance, and legal teams, with a stated focus on financial services, healthcare, insurance, and technology, as well as defense and public sector via partners. It is aimed at organizations that already have significant AI in production and need a defensible, auditable governance program rather than at small teams or individual practitioners.
AI governance analysts, risk and compliance practitioners, and program managers who log use cases, run assessments, and track mitigations day to day.
Heads of AI governance, chief risk and compliance officers, general counsel, and CISOs or CIOs who own AI oversight budgets.
Legal and privacy teams, data science and ML leaders, internal audit, and enterprise architecture stakeholders who shape governance requirements.
A regulated mid-to-large enterprise with meaningful AI in production that must comply with frameworks such as the EU AI Act, NIST AI RMF, or ISO 42001 and needs a centralized, auditable system of record for AI governance.
Trustible has raised a 4.6 million dollar Series Seed round led by Lookout Ventures, with participation from the Office of Eric Schmidt, Tau Ventures, Inner Loop Capital, Alumni Ventures, FoundersX, and angels including former Deloitte CIO Larry Quinlan, former Relativity CEO Mike Gamson, and former Washington DC Mayor Adrian Fenty, alongside existing investors Harlem Capital, Vamos Ventures, and JHH VC. This followed an earlier oversubscribed first institutional round reported at roughly 1.6 million dollars. Over 80 percent of the seed round came from investors based in the Washington DC area.
Trustible is a purpose-built AI governance platform for regulated enterprises that unifies AI intake, risk and impact assessment, continuous monitoring, and regulatory compliance in one system of record.
Trustible maps governance controls to the EU AI Act, NIST AI RMF, ISO 42001, and several US, global, and industry-specific frameworks, so controls are documented once and reused across frameworks.
Most organizations establish a working AI inventory and intake process within 30 days, operationalize risk-based workflows by day 60, and scale governance with executive reporting by day 90.
Pricing is not publicly disclosed. Trustible is sold through a demo and sales process, and there is no advertised free plan or self-serve free trial.
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