Trustible
Purpose-built AI governance platform for assessing, approving, and scaling AI
Last verified April 23, 2026About 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
Framework coverage
Coverage claims documented by Trustible on their own materials. Chip shading reflects the strength of the claim, not an independent audit.
EU · in force
US · voluntary
Global · voluntary
US · in force
Capabilities
Features Trustible markets publicly. Inclusion means the capability is documented — not that it's best-in-class.
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.
Industries served
Integrations
Documented by Trustible in public product materials.
- Databricks
- MLflow
Pricing
Contact sales for enterprise pricing; no public plans listed
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