Is Relevance Ai Safe?
Relevance Ai — Nerq Trust Score 48.2/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-04-12
Relevance Ai is a AI tool with a Nerq Trust Score of 48.2/100 (D), based on 3 independent data dimensions. Last analyzed: 2026-04-12 Security: 90/100. Popularity: 0/100. Data sourced from privacy policy analysis, data handling practices, company background, and security certifications. Last updated: 2026-04-12. Machine-readable data (JSON).
Is Relevance Ai safe?
Trust Score Breakdown — Relevance Ai has a Nerq Trust Score of 48.2/100 (D). Measured across 2 independent trust signals (as of 2026-04-12).
What is Relevance Ai's trust score?
Relevance Ai has a Nerq Trust Score of 48.2/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Relevance Ai?
Relevance Ai's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Relevance Ai and who maintains it?
| Author | Unknown |
| Category | Ai Tool |
| Source | N/A |
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Safety Guide: Relevance Ai
What is Relevance Ai?
Relevance Ai is a software tool — AI workforce platform for building and deploying custom AI agents. Australian company..
How to Verify Safety
Review the project for recent activity and known issues.
You can also check the trust score via API: GET /v1/preflight?target=Relevance AI
Key Safety Concerns for software tool
When evaluating any software tool, watch for: maintenance status, security.
Measured Signals
Relevance Ai has a Nerq Trust Score of 48/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Alternatives
- haotian-liu/LLaVA — 57/100
- wan22_i2v_14b_orbit_shot_lora — 59/100
- ChuckNorris (L1B3RT4S Prompt Enhancer) — 46/100
Key Takeaways
- Relevance Ai has a Trust Score of 48/100 (D).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 50/100 |
| Popularity | 0/100 |
| Quality | 40/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from privacy policy analysis, data handling practices, company background, and security certifications.
What data does Relevance Ai collect?
Privacy assessment for Relevance Ai is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Relevance Ai secure?
Security score: 90/100. AI workforce platform for building and deploying custom AI agents. Australian company.
Check Relevance Ai's security page for certifications such as SOC 2 Type II, ISO 27001, or GDPR compliance documentation. These certifications indicate that the vendor follows established security practices and undergoes regular audits.
For enterprise deployments, verify SSO/SAML support, role-based access control, and audit logging capabilities.
Full analysis: Relevance Ai Security Report
How we calculated this score
Relevance Ai's trust score of 48.2/100 (D) is computed from privacy policy analysis, data handling practices, company background, and security certifications. The score reflects 5 independent dimensions: security (90/100), maintenance (50/100), popularity (0/100), quality (40/100), community (35/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
Signals last measured on April 12, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.