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TrustHawk

Free, independent trust ratings for 149 AI companies scored on safety, transparency, security, and privacy from verified public data.

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71
Editor's Score
Reviewed by our team
Capability
18
Ease of use
22
Value
23
Delivery
8
TrustHawk screenshot 1
The short 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
Pricing
Free
Free tier
Yes
Category
AI Business Tools

What is TrustHawk?

TrustHawk is a free, independent rating platform that scores AI companies on four equally weighted pillars: Safety, Transparency, Security, and Privacy. It currently covers 149 companies, with each score derived from verified public data, dual-extraction AI checks, and source links visible on every company page. The platform is web-only, requires no account to access, and accepts no payment from rated companies.

The tool is primarily used by procurement teams, compliance officers, researchers, and journalists who need a structured, sourced starting point for evaluating the governance practices of AI vendors. It does not rate AI model capabilities or benchmark performance; its focus is entirely on the organizational behavior and public commitments of the companies that build AI products.

How we scored TrustHawk

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 and cons

What we liked

  • 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.

Where it falls short

  • 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.

Key features

Four-Pillar Scoring
Each company is scored out of 100 across Safety, Transparency, Security, and Privacy, each weighted equally at 25%. Sub-scores are shown separately so you can see where a company is strong or weak, not just its aggregate.
Leaderboard with Score History
The main leaderboard ranks all 149 covered companies and displays score changes over selectable time windows (last 3 days through all time), with daily data points plotted on a chart.
Company Compare Tool
A dedicated compare feature lets you place multiple AI companies side by side across all four pillars, useful for vendor shortlisting without manually cross-referencing individual pages.
Source-Linked Evidence
Every scored data point on a company page links to the specific public document and includes a verbatim quote. Two independent AI extractions must agree before a data point is accepted, and code verifies the quote exists in the saved source.
Low Confidence Flagging
When a company lacks enough verified public data to score a pillar reliably, TrustHawk displays a 'Low confidence' label rather than assigning a number, preventing misleadingly precise scores for poorly documented companies.
Corrections Process
A public corrections page allows anyone to flag disputed scores. The methodology is published and versioned, with method updates noted on the score history chart so readers can see when a scoring change, not a company change, moved a number.

Who should use TrustHawk?

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.

Skip it if: Anyone seeking AI model performance benchmarks or coverage beyond 149 companies

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Frequently asked questions

How many AI companies does TrustHawk currently rate?+

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.

Is TrustHawk free to use?+

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.

What do the four scoring pillars actually measure?+

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.

Can a company dispute or correct its score?+

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.

Does TrustHawk rate AI model quality or benchmark performance?+

No. TrustHawk rates the company behind the model, not the model itself. It does not cover output quality, accuracy, speed, or capability benchmarks.

How current are the scores?+

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.

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