# TrustHawk Review Free, independent trust ratings for 149 AI companies scored on safety, transparency, security, and privacy from verified public data. ## Editor's Score: 71/100 Capability scores 18 because TrustHawk does a focused job well within its 149-company universe, but the coverage gap is real and the methodology's reliance on public document existence rather than audited practice is a structural ceiling on what the scores can actually prove. Ease of use scores 22 because the site requires no account, the leaderboard and compare features are immediately usable, and the source links make the evidence chain navigable without any training. Value scores 23 because the tool is entirely free with no paywalls, no account friction, and a genuine no-pay-to-play policy, which is strong for its category. Delivery scores 8 because no independent user sentiment could be found to validate real-world reliability, the social presence appears nonexistent making the tool hard to follow for updates, and the core methodological limitation (document presence as a proxy for actual practice) means the scores may systematically overrate companies with good PR teams, a delivery risk that is not disclosed prominently on the site. ## Pros - Every score links to its source document with a verbatim quote, making the evidence chain auditable rather than opaque. - The 'Low confidence' flag on companies with insufficient verified data prevents false precision, a discipline most rating sites skip. - Completely free with no account required and an explicit no-pay-to-play policy, which is rare among rating platforms. ## Cons - Coverage is capped at 149 companies as of November 2026, leaving many mid-tier and regional AI vendors unrated with no clear timeline for expansion. - The scoring methodology rewards the existence of public policy documents over audited real-world practice, meaning a company that publishes a thorough model card scores well even if that card is never independently verified. - There is no API, no data export, and no integration path, so teams that want to pull TrustHawk scores into their own procurement or risk dashboards have no programmatic option. ## Pricing Free. Pricing reflects what we saw at the time of review (2026-11-11). Confirm current pricing on the official site. Category: AI Business Tools (https://aitoolseekers.com/category/ai-business-tools) Official site: https://trusthawk.ai/ Last verified by a human: 2026-11-11 Reviewed by a human at AI Tool Seekers, a hand-reviewed AI tools directory. Every listed tool is verified by a person before publishing. Scores are editorial opinions from a fixed rubric (capability, ease of use, value, delivery on promise) and cannot be bought; there is no pay-to-rank. Directory: https://aitoolseekers.com This review: https://aitoolseekers.com/tools/trusthawk Methodology: https://aitoolseekers.com/how-verification-works ## Verdict TrustHawk is the most methodologically transparent public resource for comparing AI companies on governance criteria rather than model benchmarks, making it genuinely useful for procurement teams, compliance officers, and researchers who need a defensible starting point. Its coverage is still limited to 149 companies, and the scoring methodology leans heavily on the presence or absence of public documents rather than audited practice, which means a company that publishes the right paperwork can score well regardless of real-world behavior. If you need ratings of AI models rather than the companies behind them, or if you need a broader universe of vendors, look elsewhere. Best for: Procurement and compliance teams vetting AI vendors on governance criteria Not for: Anyone seeking AI model performance benchmarks or coverage beyond 149 companies ## Overview TrustHawk rates AI companies, not their models, across four equal pillars: Safety, Transparency, Security, and Privacy. Each pillar carries 25% of the total score out of 100. The site currently covers 149 companies, with scores updated regularly and timestamped to the day. As of early November 2026, Anthropic leads the leaderboard at 71, OpenAI sits at 67, and Google DeepMind scores 55, giving buyers a concrete, comparable snapshot rather than a vague qualitative assessment. What separates TrustHawk from general AI review sites is its evidence chain. Every scored data point requires two independent AI extractions that must agree, and code checks that each quoted passage actually appears in the saved source document. If a pillar lacks enough verified data, the company is flagged as "Low confidence" rather than assigned a number that would imply false precision. Company pages link directly to the underlying sources, and the scoring method is published for anyone to audit. The tool is entirely free, requires no account, and explicitly states that no company pays to be rated or can pay to change its score. That independence is the core value proposition. The tradeoff is that the methodology rewards documented public commitments, so a company with polished policy pages can outscore one with stronger real-world practices that simply publishes less. That is a real limitation worth understanding before using the scores as a final decision input. ## Who should use it A procurement manager at a mid-size enterprise evaluating three AI vendors for a contract will find TrustHawk's side-by-side compare feature and per-pillar breakdowns genuinely useful. The source links mean you can trace exactly why a company scored low on Transparency before you ask them about it in a vendor call. Compliance officers building an AI governance framework can use the leaderboard as a documented, timestamped reference that shows scores over time, not just a point-in-time snapshot. Researchers and journalists covering AI policy will also find the methodology page and corrections process worth reading. However, if your primary need is evaluating model quality, safety benchmarks, or output accuracy, TrustHawk does not cover that ground at all. For AI stock research with traceable evidence and thesis monitoring, AlphaVue is a better fit. If you need a broader vendor intelligence tool that goes beyond public document analysis, neither TrustHawk nor AlphaVue will fully replace a dedicated due-diligence platform. ## FAQ Q: How many AI companies does TrustHawk currently rate? A: TrustHawk covers 149 AI companies as of November 2026. Companies are ranked by score, and those without enough verified data receive a 'Low confidence' label rather than a full ranking. Q: Is TrustHawk free to use? A: Yes. The site is fully free, requires no account or login, and has no paid tiers. No company can pay to be rated or to change its score. Q: What do the four scoring pillars actually measure? A: Safety, Transparency, Security, and Privacy each carry 25% of the total score. Safety covers pre-release testing and incident records; Transparency covers model documentation; Security covers vulnerability disclosure and certifications; Privacy covers data handling commitments. Each sub-score is shown separately on company pages. Q: Can a company dispute or correct its score? A: Yes. TrustHawk has a public corrections page where anyone can flag a disputed data point. The methodology is published and versioned, and method updates are marked on score history charts. Q: Does TrustHawk rate AI model quality or benchmark performance? A: No. TrustHawk rates the company behind the model, not the model itself. It does not cover output quality, accuracy, speed, or capability benchmarks. Q: How current are the scores? A: Scores are updated regularly with daily granularity. The leaderboard shows a 'last updated' timestamp, and as of 8 November 2026 the data was current to that date. Score history is available across windows from the last 3 days to all time.