Jade Chan
Founder
Camber
Camber offers an AI‑driven platform that instantly extracts and validates health records, certifications, and licenses for new hires, cutting verification time from days to seconds. Its machine‑learning models handle poor handwriting, blurry images, and detect fraudulent documents while maintaining HIPAA‑compliant security, enabling staffing agencies and HR teams to automate compliance checks and accelerate hiring.
- Artificial Intelligence
- Enterprise Software
- HR Technology
- Legal Technology
- Software Only
Updated 5 months ago
Funding
Raised to date
$30MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Christophe Rimann
Co-Founder
Product
Problem
Employers and staffing platforms often spend extensive time manually collecting, reviewing, and validating health records, certifications, and licenses for new hires, leading to hiring delays, compliance risks, and exposure to fraudulent documents.
Solution
Camber provides an AI-driven verification platform that automatically reviews employee documents in seconds, extracting and validating key data from health records, certifications, and licenses. Its machine‑learning models detect poor handwriting, blurry signatures, and fraud signals, ensuring accurate compliance checks without manual effort. The service is built for staffing and labor marketplaces, integrating securely with existing workflows to reduce backlogs and accelerate the hiring process. Camber’s infrastructure is HIPAA compliant and offers Business Associate Agreements, guaranteeing data protection for sensitive health information.
Target Audience
Primary customers are staffing agencies, labor marketplaces, and HR teams that need to verify pre‑employment documents quickly and securely.
Features
- AI extraction and validation of health records, certifications, and licenses in real time
- Handwriting and low‑quality image recognition to accurately interpret hard‑to‑read documents
- Fraud detection algorithms that surface counterfeit or altered documents
- HIPAA‑compliant architecture with optional Business Associate Agreements for secure data handling
- Scalable API designed for staffing platforms and labor marketplaces to automate document intake