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Deterministic · Evidence-Based

Independent Privacy
Risk Analysis

Know which AI tools you can safely rely on, before building your workflow around them.

Trust Index™ measures observable adoption risk signals — it does not certify safety, suitability, or endorsement.

  • 100+ Tools Evaluated
  • Deterministic scoring
  • Time-bound validity
  • Updated continuously
  • Human-reviewed oversight
  • Transparent methodology
Illustrative Example
Demo

LetsAI Demo Tool

Trust Intelligence

88
Trust Index
Stable

Analyzed 61 days ago

Evidence valid for 10 more months

Verified Signals

Sample Signal Deductions

−12 points: Privacy policy lacks data retention clarity

Deterministic scoring
Time-bound by evidence recency

Verified • Time-bound • Evidence-based

Why Trust Index Exists

Most AI directories rank tools by popularity or sponsorship. Trust Index™ measures observable adoption risk signals using deterministic logic and time-bound evidence.

  • Deterministic scoring (no opinions or popularity signals)
  • Time-bound by evidence recency
  • Human-reviewed before publication
  • Independent from vendors and sponsorship influence

How Trust Index Works

Evidence-based privacy risk measurement with time-bound validity. Trust Index™ v5.0 focuses on privacy risk signals — the foundation of AI adoption safety.

7-Dimension Framework

Pricing risk, vendor stability, data governance

Security posture, legal clarity, support quality

Time-Bound Validity

Evidence recency determines confidence window

Automatic re-evaluation when signals age

Deterministic Scoring

Identical inputs produce identical outputs

Fully auditable, no algorithmic opinions

Operational AI Risk Monitoring

If you rely on AI tools in production workflows, static directory information is not enough.