Trustible
AI governance software that tracks, risk-scores, and keeps enterprise AI programs audit-ready
- Category
- Business & Sales
- Pricing
- Pricing is not published on the site; Trustible sells to enterprises through a request-a-demo / sales-contact process, so cost is quote-based and depends on organization size and scope.
- Best for
- Trustible fits compliance officers, legal/risk teams, and AI governance leads inside mid-size to large enterprises in regulated sectors like finance, healthcare, insurance, or government contracting.
- Official site
- trustible.ai
- Last updated
- August 2026
Trustible positions itself as governance infrastructure for companies that are deploying AI at scale but need a defensible, auditable process behind it. Rather than being a model-building or productivity tool, it sits alongside an organization's AI initiatives as a control layer: every model, AI agent, or AI vendor tool gets logged, evaluated for risk, and routed for the appropriate level of human review before and after approval.
The platform's core workflow starts with intake — capturing details about a proposed AI use case, model, or vendor — followed by automated risk scoring that determines how much scrutiny a given use case needs. From there, compliance mapping ties each AI system's controls back to named regulatory frameworks (the EU AI Act, NIST's AI Risk Management Framework, and ISO 42001 are the ones the company references), and continuous monitoring is meant to flag when a deployed system's risk profile changes after launch.
Trustible is a venture-backed, Washington DC-area company that has publicized customers in financial services, healthcare, insurance, technology, and defense/government, including named enterprise accounts. That customer base signals the product is built for organizations with formal risk and compliance functions rather than for teams doing lightweight, informal AI oversight.
Trustible fits compliance officers, legal/risk teams, and AI governance leads inside mid-size to large enterprises in regulated sectors like finance, healthcare, insurance, or government contracting. It's a fit for organizations that already need to demonstrate AI oversight to regulators, auditors, or customers, not for individuals or small teams experimenting with AI tools informally.
Key features
AI Intake & Triage
Provides a structured way to log new AI use cases, models, agents, and vendor tools as they're proposed, with automated routing based on assessed risk level.
Risk Scoring
Evaluates each AI use case or system against risk criteria and directs higher-risk items to expert human reviewers rather than treating every request the same way.
Continuous Monitoring
Tracks AI systems after they go live, watching for performance issues or external risk signals and surfacing governance alerts over time.
Regulatory Compliance Mapping
Aligns an organization's governance controls to named frameworks such as the EU AI Act, NIST AI RMF, and ISO 42001, reducing manual cross-referencing.
Centralized AI Inventory
Maintains a single source of truth listing every AI model, agent, and vendor tool in use across the organization.
Agentic Workflows with Human Oversight
Uses automation to speed up routine governance tasks while keeping human reviewers in the loop for judgment calls that require context.
Pricing breakdown
Custom / Enterprise
- Scoped to organization size and number of AI systems
- Enterprise onboarding and support
- Access to the full governance workflow (intake, risk scoring, monitoring, compliance mapping)
Pros and cons
Pros
- Consolidates AI intake, risk assessment, compliance mapping, and post-deployment monitoring into one workspace instead of requiring separate spreadsheets or point tools for each stage
- Explicit alignment with recognized frameworks (EU AI Act, NIST AI RMF, ISO 42001) can shorten the work of preparing for audits or regulatory reviews
- Serves genuinely regulated sectors (financial services, healthcare, insurance, government/defense) with named enterprise customers, suggesting the workflows are built for real compliance requirements rather than generic checklists
- Combining automated risk scoring with routed human review aims to avoid both extremes of pure manual tracking and fully automated approval with no oversight
Cons
- The site discloses no pricing tiers or self-serve signup, so smaller teams can't easily gauge cost or try the product without a sales conversation
- Positioning toward regulated enterprises means the tool is likely overbuilt (and priced accordingly) for startups or teams without formal governance obligations
- Effectiveness depends on an organization actually staffing risk/compliance reviewers to act on the platform's routing and alerts — it supports a governance process rather than replacing the need for one
- As a relatively young, venture-backed company, its long-term track record and depth of framework coverage compared to larger GRC incumbents is unproven from public information alone
Alternatives to Trustible
Frequently asked questions
What does Trustible actually do?
It's an AI governance platform that helps organizations inventory their AI models, agents, and vendor tools, score them for risk, route them for review, map their controls to regulations, and monitor them after deployment.
Is Trustible free to use?
No free tier or public pricing is listed on the site. Access is arranged by requesting a demo, and pricing is quote-based.
Which regulations does Trustible help with?
The site names the EU AI Act, NIST AI Risk Management Framework, and ISO 42001 as frameworks its compliance mapping aligns to.
Who is Trustible built for?
It's built for regulated enterprises — the company names financial services, healthcare, insurance, technology, and defense/government as target sectors, with customers such as Leidos, Google, Databricks, Nuix, and Ashoka referenced publicly.
Does Trustible build or train AI models itself?
No. It's a governance and oversight layer for AI systems an organization already uses or is evaluating, not a model-building or model-hosting product.
How is Trustible different from a spreadsheet-based AI risk register?
It automates intake and risk scoring, routes items to human reviewers based on risk level, and adds ongoing monitoring after deployment, rather than relying on a static, manually maintained list.
Ready to try Trustible?
Head to the official site to explore pricing and start a free trial where available.
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