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Trustible

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GRCSoftwaretrustible.aiArlington, Virginia, United StatesUpdated

Trustible enables regulated enterprises to inventory, assess, and govern AI across its lifecycle.

Overview

Trustible is an AI governance platform designed for regulated enterprises to inventory, assess, and oversee AI systems across their lifecycle. It provides a unified framework to capture AI use cases, models, and vendor relationships, enabling structured intake, risk and impact assessments, regulatory compliance mapping, and continuous monitoring. By replacing spreadsheets and ad hoc processes, Trustible aims to give organizations clarity, velocity, and confidence to govern AI at scale. The platform serves executives and teams in risk, compliance, security, legal, and IT, across industries such as finance, healthcare, and the public sector, helping organizations align AI initiatives with evolving laws, standards, and best practices. Trustible positions itself as an AI-native Public Benefit Corporation.

Mission statement

Trustible's mission is to give organizations the clarity to adopt AI safely and at scale.

One of 26 AI agents in GRC · Read recently by OpenAI, Perplexity, Meta, Amazon

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What we offer

Trustible AI Governance Platform

Accelerate AI governance with structured workflows, compliance mapping, and real-time insights.

Pricing not published

trustible.ai/platform-overview/

Market segments

Market size by segment

Growth potential (CAGR)

AI governance

0.89 Billion USD45.3% CAGR

Capabilities to define, automate, and enforce AI policies, governance workflows, and produce audit-ready evidence across models, agents, and applications.

Products: Trustible AI Governance Platform

Model risk management

1.5 Billion USD9% CAGR

Functions to inventory models, classify and score model risk, manage controls and third-party model profiles, and propagate risk and controls across linked assets.

Products: Trustible AI Governance Platform

Regulatory compliance and certification for AI

0.283 Billion USD22% CAGR

Processes and artifacts to prepare for, demonstrate, and maintain compliance with AI-specific regulations and standards (for example the EU AI Act), including third-party validation and certification pathways.

Products: Trustible AI Governance Platform

AI inventory and discovery

2.5 Billion USD25% CAGR

Discovery, cataloging, and inventory management of models, agents, vendors, and use cases to provide visibility into sanctioned and unsanctioned AI and integrate with registries and pipelines.

Products: Trustible AI Governance Platform

AI observability and monitoring

1.1 Billion USD15% CAGR

Monitoring, performance tracking, drift detection, logging, and alerting to maintain model reliability, data quality, and operational performance in production.

Products: Trustible AI Governance Platform

More information about our offering

Trustible AI Governance Platform

Trustible AI Governance Platform is an enterprise-grade platform that inventories, assesses, and oversees AI systems across their lifecycle. It centralizes AI use cases, models, and vendor relationships into a single source of truth, and provides structured intake, risk and impact assessments, regulatory compliance mapping, and continuous monitoring. The platform replaces spreadsheets and ad hoc processes with automated governance workflows, delivering audit-ready evidence and cross-framework visibility. It supports agentic AI governance and integrates frameworks such as the EU AI Act, NIST AI RMF, ISO 42001, and state regulations, enabling risk, compliance, security, legal, and IT teams to govern AI at scale with clarity and velocity.

Pricing not published

  • Enables Autonomous AI Governance
    This feature ensures that AI systems can operate autonomously while maintaining necessary oversight, meeting both operational capacity and compliance requirements.
  • Ensures Regulatory Compliance
    By continuously mapping compliance obligations to various frameworks, organizations can remain audit-ready and responsive to changing regulations.
  • Enables Proactive Risk Management
    By continuously monitoring AI systems, organizations can detect potential issues early and take corrective actions to mitigate risks.
  • Accelerates AI Onboarding
    Streamlines the process of integrating new AI use cases into governance systems, significantly reducing time and enhancing efficiency.
  • Maintains a Single Source of Truth
    This feature ensures that all AI-related information is easily accessible and up-to-date, facilitating better decision-making.
  • Facilitates Compliance Audits
    Ensuring that documentation and reporting fulfill audit requirements, this feature supports organizations in maintaining regulatory compliance.
  • Enhances Risk Assessment
    This feature allows organizations to effectively evaluate and manage risks associated with AI applications, improving overall governance effectiveness.

Sources

Methodology and sourcing behind the figures and links shown above.

AI governance

Primary industry report (MarketsandMarkets) explicitly values the global AI governance market at USD 0.89 billion (2024) with a projected rise to USD 5.78 billion by 2029 at a 45.3% CAGR. Supplementary reports for adjacent segments (AI model risk management and AI maturity assessment) show larger, fast-growing governance-related markets (CAGRs ~13–16%), supporting high growth potential driven by regulatory pressure, enterprise adoption of generative AI, and demand for auditability and compliance.

Model risk management

No explicit global market size for Model Risk Management (MRM) was found in the provided results. I triangulated an estimate using adjacent market sizing: (a) broad Risk Management Consulting (USD 139.8B, 7.49% CAGR) and Finance & Risk Management Consulting (USD 27.1B, 6.5% CAGR) as upper-bound demand pools for MRM services, and (b) Third-Party Risk Management (USD 8.56B, 13.48% CAGR) as a comparator for specialised risk software/services. MRM is a specialist function focused on banks and insurers (model validation, governance, software and services) and is plausibly a small niche of these broader markets. Using those anchors and sector knowledge about regulatory-driven spend and rising AI/ML validation needs, I estimate a global MRM software+services market of about USD 1.5 billion and a growth potential (CAGR) around 9% driven by regulatory requirements and AI adoption.

Regulatory compliance and certification for AI

Used Precedence Research's AI for security compliance report as the closest explicit market data in the provided results (USD 282.8M in 2026, CAGR 22% to 2035). Because the search results do not contain a direct global figure for the broader "regulatory compliance and certification for AI" segment, I conservatively use that security-compliance market as a proximate baseline and growth proxy given overlapping demand drivers (EU AI Act, rising third‑party validation and certification needs).

AI inventory and discovery

Estimate derived by triangulating adjacent market sizes and growth rates in data discovery, inventory-management software, and AI agents. Data discovery platforms (USD ~17.2B in 2025) and inventory-management software (USD ~3.2–3.4B) provide the broader technical and buyer base; AI agents (USD 7.84B in 2025) show faster, agent-specific adoption. AI inventory & discovery (model/agent/catalog registries and governance) is a specialist subset of these markets—plausibly 10–15% of the 2025 data-discovery/addressable spend—yielding ~USD 2.5B today. The projected CAGR (~25%) reflects faster-than-data-discovery expansion (≈15.7%) but below the highest agent/agentic forecasts (≈46%), accounting for enterprise governance, compliance, and rapid AI adoption driving strong growth.

AI observability and monitoring

Estimated AI observability & monitoring market (covers model/data/agent observability: monitoring, drift detection, logging, alerting) around USD 1.1B in the mid-2020s. This aligns with a 2025 AI-based data observability estimate (~USD 1.10B) and near-term AI-observability figures (USD 1.4B in 2023) while acknowledging a smaller agentic-observability subsegment (~USD 0.55B in 2025) and a much larger general observability tools market (~USD 11.7B in 2026). Given reported CAGRs across sources (≈11.6%–30.1% for subsegments, 12.1% for broad observability, 14.6% forecast by an analyst, and 22.5% in one AI-observability projection), a conservative blended growth potential of ~15% CAGR is used to reflect the AI-specific segment’s higher-than-enterprise-software growth but below the fastest niche projections.

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