Trustible

AI inventory, risk triage and compliance mapping for regulated enterprises

Security & Safety Enterprise
Researched · Published · Reviewed
RECATOOLS Score
7.2 / 10
Capability
7.8
Value for money
6
Ease of use
7
ASEAN readiness
3.5
API quality
5
Founded
2023
HQ
Arlington, Virginia, USA
Users
Dozens of enterprise clients; 38% Fortune 500 among disclosed customers
Launched
April 19, 2023 (emerged from stealth)
Developer
Gerald Kierce (CEO), Andrew Gamino-Cheong (CTO)

Overview

Trustible is enterprise AI-governance software from Arlington, Virginia. It keeps one inventory of AI use cases, models, agents and vendors, routes new requests by risk, and maps a single set of controls to the EU AI Act, NIST AI RMF, ISO 42001, Singapore's Model AI Governance Framework and US state laws. Pricing is by quote only.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 19 Oct 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

Use cases

Building and maintaining a centralized inventory of all AI systems, models, and vendors across a large enterprise Automating AI use-case intake, risk-triage, and approval workflows to reduce governance review cycles from weeks to hours Mapping existing AI controls and policies to EU AI Act, NIST AI RMF, and ISO 42001 obligations in a single audit-ready platform Evaluating third-party AI vendors and foundation models against organizational risk thresholds and regulatory requirements Providing executive stakeholders with real-time dashboards showing AI portfolio risk posture and compliance status across business units

What you can produce with Trustible

  • A single inventory of AI use cases, models, agents and vendors
  • Structured intake that scores each request and routes it to a review track by risk
  • Risk assessments using pre-built risk cards across more than 40 risk dimensions
  • One set of controls mapped across the EU AI Act, NIST AI RMF, ISO 42001, Singapore's framework and US state laws
  • AI-assisted vendor and model evaluations from vendor documentation
  • Monitoring of internal AI metrics and external regulatory and incident signals
  • Audit-ready evidence and executive dashboards
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ASEAN Perspective

Trustible in Southeast Asia

Trustible's regulatory mappings focus on Western frameworks (EU AI Act, NIST AI RMF, ISO 42001) with no announced coverage of ASEAN-specific rules such as Singapore's MAS TRM Guidelines, PDPC Model AI Governance Framework, or sector-specific AI guidance in Indonesia and Vietnam. The company has not communicated a Southeast Asia go-to-market, and its 18-24 month expansion roadmap explicitly names North America and Europe. ASEAN enterprises operating under global compliance obligations (e.g., multinationals subject to the EU AI Act) may still derive value, but should supplement Trustible with regional legal counsel and expect no out-of-box ASEAN regulatory mapping. The growing AI governance gap highlighted by Singapore's IMDA and the ASEAN Guide on AI Governance represents an underserved opportunity that Trustible has not yet addressed.

RECATOOLS Verdict

Trustible is a focused, well-credentialed AI-governance tool: a single inventory, risk-based intake that lets low-risk use cases through quickly, expert-curated risk cards, and AI Controls that map one piece of evidence across many frameworks. A Gartner Honorable Mention, SOC 2 Type II renewals and a named Leidos deployment back it up, though its speed and approval figures are the company's own.

It is built for large regulated buyers, with no published price, free tier or public API, and a sales focus on North America and Europe. Singapore teams get the IMDA/PDPC framework mapped, not MAS-specific guidance. Worth a demo for enterprises formalising AI governance; overkill for small teams.

Desk research by RECATOOLS from public sources, written with AI assistance — not a hands-on test. How we review

What we found

Trustible is AI-governance software for large, regulated organisations, built by Gerald Kierce and Andrew Gamino-Cheong, who both spent close to a decade at policy-data company FiscalNote. It came out of stealth in April 2023 with a $1.6 million pre-seed round led by Harlem Capital, added a $4.6 million seed round led by Lookout Ventures in June 2025, and is operated by Trible AI, Inc., a public benefit corporation in Arlington, Virginia. Its argument is that most companies still track AI use in spreadsheets and email, which will not survive the EU AI Act or a board audit.

The platform centres on one inventory of AI use cases, models, agents and vendors. Requests arrive through structured intake and are scored and routed by risk, so low-risk tools move quickly and high-risk ones get deeper review. Pre-built risk cards cover more than 40 risk dimensions, vendor documents are analysed with AI help, and a monitoring module tracks internal metrics and external signals. AI Controls, released in July 2026, lets one completed control count toward every framework it satisfies, from the EU AI Act, NIST AI RMF and ISO 42001 to Colorado's AI law. Singapore's Model AI Governance Framework is mapped; MAS guidance has no dedicated mapping.

The credentials are real but mostly self-reported. Trustible received an Honorable Mention, not a quadrant placing, in Gartner's first Magic Quadrant for AI Governance Platforms in July 2026. Its headline figures of four times more use cases approved and 60% shorter cycle times are its own. Named customers include Leidos, which said in a joint February 2026 announcement that intake had shrunk from weeks to hours, plus Guardian Life and Molson Coors. In August 2026 it renewed SOC 2 Type II for a third time.

There is no published price, free plan or public API; buying starts with a demo and a quote. Sales focus on North America and Europe, so ASEAN buyers should ask about regional support.

Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.

Notable facts

  • Trustible is structured as a Public Benefit Corporation (PBC), legally binding the company to its responsible-AI mission — not just to shareholder returns.
  • Both co-founders, Gerald Kierce and Andrew Gamino-Cheong, met and built careers together at FiscalNote, the AI-powered policy intelligence company that went public on NYSE.
  • Over 80% of Trustible's $4.6M Series Seed came from DC-area investors and angels, including a former Washington DC Mayor (Adrian Fenty) and the former Deloitte global CIO.
  • The team describes their platform as 'TurboTax for AI governance' — implying the same principle of turning a complex, expert-only process into a guided, repeatable workflow for non-experts.

Frequently asked questions

Trustible maps to 10+ frameworks including the EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001, and Colorado SB 205. Coverage of ASEAN-specific frameworks such as Singapore's PDPC Model AI Governance Framework is not confirmed as of mid-2026.
No. Trustible operates on a custom enterprise-quote model. Prospective customers can request a demo via the website, but there is no publicly available free tier, free trial, or self-service sign-up.
Trustible mentions integrations with Databricks and compatibility with MLOps and GRC workflows, but no public API documentation or developer SDK has been published. Integration depth should be verified directly with the vendor during a procurement evaluation.

About this listing

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This entry was compiled from publicly available data including Trustible's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Trustible unless explicitly stated.

Data accuracy

Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.

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