Trustible
AI governance platform for regulated enterprises, not startups
Overview
Trustible is enterprise AI-governance SaaS founded in 2023 by FiscalNote alumni Gerald Kierce-Iturrioz and Andrew Gamino-Cheong, mapping AI systems to frameworks like the EU AI Act and NIST AI RMF. It has raised $6.2M and earned a 2026 Gartner AI Governance Magic Quadrant Honorable Mention.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete.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.
- AI inventory
- Risk-triage workflows
- Framework mapping
- GRC stack integrations
- Enterprise customizations
- Dedicated enablement
Use cases
What you can produce with Trustible
- Centralized AI inventory covering use cases, models, agents, and third-party vendors
- Automated intake and risk-triage workflows with attributes-based scoring and recommended next steps
- Multi-framework compliance mapping across EU AI Act, NIST AI RMF, ISO/IEC 42001, and 10+ additional standards
- Audit-ready documentation generated automatically throughout the AI governance lifecycle
- Executive dashboards providing real-time visibility into enterprise-wide AI risk posture
- Expert-curated AI risk taxonomies and mitigation-recommendation engine
- Vendor and foundation-model evaluation workflows with AI-assisted document analysis
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.
Trustible earned an Honorable Mention in Gartner's inaugural 2026 Magic Quadrant for AI Governance Platforms — real validation in a category Gartner itself expects to grow from $65M to $1.4B by 2030. The multi-framework engine (EU AI Act, NIST AI RMF, ISO 42001, Colorado SB 205) plus intake automation and risk-triage workflows genuinely replace the spreadsheet-based AI inventories most enterprises are still running. Leidos, a large US defense contractor, reports cutting AI-approval cycles from weeks to hours after adopting it.
The catch is who gets to buy it. Pricing is entirely custom-quoted — no self-serve tier exists — which puts it out of reach for smaller teams and budget-constrained public agencies. No public API or developer SDK has been documented. And the go-to-market roadmap is North America first, Europe in 18-24 months, with nothing APAC-specific: Singapore, Malaysia, and Indonesia buyers will find no mapping to MAS TRM or PDPC's AI governance guidance out of the box.
What people say
Two former FiscalNote executives built Trustible around a simple bet: most enterprises are tracking their AI systems in spreadsheets, and that won't survive contact with the EU AI Act or NIST AI RMF. The platform automates intake, risk-triage, and control-mapping across 10+ frameworks, and it just picked up an Honorable Mention in Gartner's first-ever Magic Quadrant for AI Governance Platforms — a market Gartner projects growing from $65M to over $1.4B by 2030.
Customer evidence is thin but substantive rather than decorative: Leidos, Nuix, and Ashoka are real logos in defense, legal-tech, and nonprofit, and Trustible's own numbers claim customers approve 4x more AI use cases and cut governance cycle times by roughly 60%. The company has raised $6.2M total (a $1.6M pre-seed plus a $4.6M Series Seed led by Lookout Ventures, with the Office of Eric Schmidt among the backers) as a Public Benefit Corporation.
What's missing: pricing is fully custom-quoted with no published tiers, there's no confirmed public API, and the roadmap is North America first, Europe in 18-24 months. Nothing is built for MAS TRM, Singapore's PDPC AI guidance, or any ASEAN-specific regulatory regime — buyers there are evaluating a framework-agnostic tool, not a localized one. As the AI-governance category matures fast (Gartner projects it growing more than twentyfold by 2030), Trustible looks like one of the better-credentialed bets for teams that fit its buyer profile.
Summary of public user & expert reviews, compiled by RECATOOLS.
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
About this listing
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.
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.
For the latest details, please refer to Trustible directly →
Spotted something out of date? Suggest an update →
Trustible in the news
ASEAN Tech
MAS's SAFR Framework Puts the Safeguard Where the Money Moves — At the Point an AI Agent A...
Finance
The FCA's Mills Review: No New AI Rulebook for Finance — but Targeted New Powers, Includin...
Privacy & Data
Three US State Privacy Changes Take Effect on 1 July 2026 — and Connecticut Reaches Into A...
More in Security & Safety
