Labelbox — AI Risk Rating 2026
Labelbox has a Nerq AI Rating of CCC (30/100), based on analysis of 3 identified AI tools. No critical issues detected. Industry: ai_data. Last analyzed June 2026.
30
AI Score
3
AI Tools
0
Critical
0
Warnings
0
Dependencies
AI Stack Overview
| Tool | Trust Score | Grade | Category |
|---|---|---|---|
| pillow | 54 | D | infrastructure |
| opencv-python | 52 | D | |
| labelbox-python | 50 | D |
Predictions
| Components at risk (6 months) | 0 |
| Predicted incidents (12 months) | 0.0 |
| Weakest link | labelbox-python (trust: 50) |
Industry Comparison
| Entity | Rating | Score | Tools |
|---|---|---|---|
| Scale AI | BBB | 73 | 28 |
Methodology
Based on analysis of public GitHub repositories, published dependencies, and public documentation. Ratings reflect publicly observable AI stack health and may not represent the complete internal technology stack.
Frequently Asked Questions
What AI tools does Labelbox use?
Based on public repository analysis, Labelbox uses 3 AI tools including pillow, opencv-python, labelbox-python.
Is Labelbox's AI safe?
Labelbox has a Nerq AI Rating of CCC (30/100). No critical issues detected.
What is Labelbox's AI risk level?
AI risk rating: CCC. Elevated risk.
How does Labelbox compare to competitors?
View industry comparison at nerq.ai/industry/ai-data.
Does Labelbox have AI vulnerabilities?
0 critical issues and 0 health warnings detected across 3 AI tools.
curl nerq.ai/v1/entity/company/labelbox