AI Compliance Vendors

Trustible

Purpose-built AI governance platform for assessing, approving, and scaling AI

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Last verified April 23, 2026

Quick facts: Trustible is an AI compliance vendor founded in 2023 and headquartered in Arlington, United States. The vendor publicly documents coverage for EU AI Act, NIST AI RMF, ISO/IEC 42001, and Colorado AI Act. Pricing is available on request. Profile last verified April 23, 2026, with every claim traceable to a cited public source.

About Trustible

Trustible provides an AI governance platform that centralizes inventory of AI use cases, models, agents, and vendors, enabling organizations to track and manage AI deployment across the enterprise. The platform supports risk-based triage for intake reviews, automated risk assessments with expert-curated taxonomies, policy management, and vendor evaluations to identify transparency gaps and risks. It maps governance controls across multiple frameworks including the EU AI Act, NIST AI RMF, and ISO 42001, generating audit-ready reports and evidence from actual workflows rather than self-assessments. Targeted at enterprises including Fortune 500 companies in financial services, healthcare, insurance, and consumer goods, Trustible helps cross-functional teams—risk, legal, tech, and business—accelerate low-risk AI while ensuring compliance and oversight for higher-risk systems. Distinct from general GRC tools, it embeds AI-specific intelligence like model transparency ratings and lifecycle coverage for incidents and modifications, operationalizing governance in weeks.Trustible homepage, Trustible platform, Technical.ly funding, LinkedIn, Trustible about

Featured in

Trustible is ranked in the following independent collections.

Frameworks supported

Regulations and voluntary standards Trustible documents support for on their own materials. Chip shading reflects the strength of the claim, not an independent audit.

EU Artificial Intelligence Act

Regulation · EU · in force

Full
NIST AI Risk Management Framework

Voluntary standard · US · voluntary

Full
ISO/IEC 42001:2023 AI Management System

Voluntary standard · Global · voluntary

Full
Colorado Artificial Intelligence Act (SB 24-205)

Regulation · US · not yet_in_force

Full

Trustible features

Capabilities Trustible markets publicly. Inclusion means the feature is documented on the vendor's site — not that it's best-in-class. Last verified April 23, 2026.

AI Model Inventory

Centralized registry of all AI/ML models in use across the organization, with ownership, lifecycle stage, and risk classification.

Policy Management

Authoring, versioning, and distribution of AI usage policies mapped to regulations.

Risk Assessment Workflow

Guided workflows for completing AI impact assessments, risk scoring, and approval routing.

Third-Party AI Vendor Risk

Intake and assessment of AI features in third-party SaaS used by the organization.

Audit Evidence Collection

Automated collection, hashing, and retention of evidence (model cards, test results, approvals) for audit.

Regulatory Intelligence

Ongoing tracking of AI laws, standards, and enforcement, mapped to your model inventory.

Integrations

Documented by Trustible in public product materials.

  • Databricks
  • MLflow

Trustible pricing

Contact sales for enterprise pricing; no public plans listed

Alternatives to Trustible

Frequently asked

What is Trustible?+

Trustible is a AI governance platform headquartered in Arlington, United States, founded in 2023. Profile last verified April 23, 2026.

How much does Trustible cost?+

Trustible does not publish pricing. Contact sales for enterprise pricing; no public plans listed. Verified April 23, 2026.

Which AI compliance frameworks does Trustible support?+

Trustible documents support for EU AI Act, NIST AI RMF, ISO/IEC 42001, and Colorado AI Act in its public materials. Coverage strength varies — see the framework chips above.

Who is Trustible for?+

Trustible markets to Government & Public Sector, Financial Services, and Healthcare teams and other regulated industries. Match it against your specific framework and integration requirements before committing.

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