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Entrupy uses computer vision and microscopy to authenticate high-value physical goods, with a tech stack built on Python, Flask/FastAPI, and AWS. The hiring mix—skewed toward engineering and sales with emerging data infrastructure—reflects a company scaling both product accuracy and market coverage. Active projects around knowledge systems, vertical expansion (watches), and training data labeling signal a shift from point-solution authenticator toward a structured, multi-category platform.
Tech Stack 25 technologies
What Entrupy Is Building
◆Challenges
- Expanding authentication capabilities
- Counterfeit goods detection
- Improving accuracy and consistency
- Identifying knowledge gap
- Reducing support ticket volume
- Authentication accuracy improvement
- Scaling accuracy and speed
- Brand and product support
- Ensuring labor law compliance
- Scaling from contractors to entity
▲Active Projects
- Build structured knowledge systems
- Launch watches vertical
- Machine learning training data labeling
- Knowledge documentation improvement for luxury footwear authentication
- Training materials development for global authentication team
- Industry knowledge research and trend tracking
- Customer onboarding program
- Self-service knowledge base development
- New brand and product support
- Content strategy
Hiring Activity
15 roles · 10 in 30d
Department
Seniority
Notable leadership hires: HR Operations Lead
Company intelligence
