Trustible logo

Trustible

ComplianceAI governance and compliance

AI governance software for regulated enterprises managing AI intake, risk, monitoring and compliance across emerging frameworks.

Last verified · 9 sources

Trustible website homepage
trustible.ai homepage

What is Trustible?

Founded in 2023, Trustible is an AI governance software company headquartered in the Washington, DC area. It has raised more than $6 million and serves enterprise organizations managing AI risk and regulatory obligations.

Trustible is a cloud AI governance platform that centralizes an organization’s use cases, models, agents and vendors. Governance teams submit AI systems through structured intake, then route them through risk-based triage, assessments, approvals and documentation workflows. The platform combines an AI inventory with risk intelligence, regulatory mapping and continuous monitoring, giving compliance, legal, security and technology teams one operational record for AI decisions and oversight.

The product covers intake, model and vendor reviews, risk and impact assessments, mitigation and incident tracking, policy and control mapping, regulatory alerts, monitoring and audit evidence. Its compliance layer maps controls across 10 or more frameworks and exports PDF, Excel and ECS audit artifacts. Trustible is focused on governance rather than MLOps: teams can begin without technical integration, while deeper monitoring and data-lifecycle work may require integrations or complementary tools.

Trustible is aimed at regulated enterprises and governance, risk, compliance, legal and security teams that need a central AI register and repeatable approval process. Pricing is sold as an annual subscription on a custom quote, with Standard and Enterprise tiers described publicly but no vendor list price. Enterprise adds broader framework coverage, enablement, customizations and integrations; both tiers include unlimited use cases, models and vendors.

Key features

AI inventory

Centralizes records for AI use cases, models, agents and vendors in one governance system of record.

Intake and triage

Captures AI use cases through structured workflows and routes submissions by risk.

Risk assessments

Scores AI risks across dimensions including training data, architecture and legal considerations.

Vendor evaluations

Provides standardized reviews and scoring for AI vendors and models.

Continuous monitoring

Tracks AI metrics, incidents, user feedback and regulatory or vendor risk signals.

Framework mapping

Maps controls and policies to frameworks including the EU AI Act, NIST AI RMF and ISO 42001.

Audit evidence

Generates timestamped evidence packages, reports and audit-log exports from governance activity.

Trustible pricing

Trustible does not publish list pricing. Public descriptions identify annual Standard and Enterprise subscriptions, with unlimited use cases, models and vendors in both tiers. Enterprise adds broader framework coverage, enablement, customizations and integrations.

PlanPriceWhat's included
StandardCustomAnnual subscriptionPreconfigured AI governance workflows, core framework alignment, unlimited use cases, models and vendors
EnterpriseCustomAnnual subscriptionStandard capabilities, full AI compliance framework library, enablement, enterprise customizations and integrations

Free trial: No public free trial is listed; a sales evaluation is required.

Pros & cons

Pros

  • Combines AI intake, inventory, risk and compliance workflows in one purpose-built platform.
  • Maps one governance program across 10 or more AI frameworks.
  • Produces structured evidence packages and exports from recorded governance actions.
  • Supports governance teams without requiring an MLOps implementation to start.

Cons

  • Custom pricing makes budget comparison difficult before a sales process.
  • The platform is specialized for AI governance rather than a full enterprise GRC replacement.
  • Deeper technical monitoring may require integrations or complementary MLOps tools.
  • The public review footprint is small, with no Capterra reviews and no Gartner all-time reviews.

Who is Trustible best for?

  • Regulated enterprises building a centralized AI inventory and approval process.
  • Compliance and legal teams mapping AI controls across multiple emerging frameworks.
  • Risk teams that need repeatable assessments for AI use cases, models and vendors.
  • Organizations seeking audit evidence from day-to-day AI governance activity.

Frameworks and use cases

EU AI ActNIST AI RMFISO/IEC 42001NYC Local Law 144Colorado AI ActAI governanceAI inventoryModel riskVendor riskRisk assessmentsContinuous monitoringAudit evidenceResponsible AIAI compliance

Integrations

DatabricksMLflowJiraServiceNowAzure MLMicrosoft AzureOpenAIDatabricks and MLflow; Jira, ServiceNow, Azure ML, Azure and OpenAI total

Notable customers

LeidosNuixAshokaMolson CoorsKroll

Frequently asked questions

How much does Trustible cost?

+

Trustible uses annual, quote-based pricing and does not publish a list price. Public descriptions identify Standard and Enterprise tiers, but no verified starting amount is available.

How long does Trustible take to implement?

+

Trustible says most customers establish structured intake and initial risk assessments within 30 days. Its published implementation guidance says full deployment across intake, governance, monitoring and compliance is typically complete by day 90.

How does Trustible compare with OneTrust?

+

Trustible is purpose-built around AI governance, including AI inventories, model and vendor reviews, AI-specific risk dimensions and framework mapping. OneTrust is a broader privacy, security and GRC suite, so Trustible is more focused when AI governance is the primary requirement.

What integrations does Trustible support?

+

Public evidence identifies Databricks and MLflow as integration partners and lists Jira, ServiceNow, Azure ML, Azure and OpenAI as supported ecosystem connections. Exact connector availability depends on the contracted deployment.

Who is Trustible for?

+

Trustible targets regulated enterprises and their legal, compliance, security, technology and AI governance teams. It is designed for organizations that need to track AI use cases, assess risk, document decisions and demonstrate framework readiness.

Is Trustible secure and accurate for compliance work?

+

Trustible states that it maintains SOC 2 controls, encrypts data in transit and at rest, uses MFA and role-based access controls, and runs security testing on AWS infrastructure. Its mappings and readiness scores support compliance work, while organizations remain responsible for validating applicability and evidence for their obligations.

Trustible alternatives

See all 7 alternatives

Similar compliance tools

Browse all compliance tools