Iristech

Website unreachable since Oct 29, 2026

Iristech provides a cloud‑based biometric authentication platform that uses iris‑scan technology to automate identity verification. The service captures high‑resolution iris images with standard cameras, processes them via proprietary deep‑learning models, and delivers sub‑second matching results through a secure RESTful API, storing templates in a zero‑knowledge encrypted vault. It targets financial institutions, government agencies, and enterprises needing fast, accurate, and compliant identity checks.

Traction –/10

Houston, United States · HQ

485K+ followers

Artificial Intelligence
Augmented & Virtual Reality
Creator / Creative Economy
Cybersecurity
Enterprise Software
Financial Technology
Government Technology
Software Only

Updated 5 months ago

Funding

Funding rounds are not available yet.

Founders

1 founder

Gerrit Jan Ekkelkamp

Product

Problem

Organizations that need secure, reliable identity verification often rely on fragmented, manual processes that are slow, error‑prone, and vulnerable to fraud.

Solution

Iristech offers a cloud‑based biometric authentication platform that automates identity verification using iris‑scan technology. The system captures high‑resolution iris images via standard cameras, processes them with proprietary computer‑vision algorithms, and matches them against encrypted enrollment records. Results are delivered in real time through a RESTful API, enabling seamless integration with existing workflows. The platform complies with data‑privacy regulations and stores biometric templates in a zero‑knowledge encrypted vault, ensuring that raw images never leave the client’s environment. By providing fast, accurate, and secure identity checks, Iristech reduces operational costs and mitigates fraud risk for its customers.

Target Audience

Primary customers are financial institutions, government agencies, and enterprises that require high‑assurance identity verification for onboarding, access control, or transaction authentication.

Features

High‑precision iris capture using off‑the‑shelf cameras with adaptive lighting correction
Proprietary deep‑learning models for rapid iris segmentation and feature extraction
Real‑time matching engine with sub‑second latency and false‑acceptance rate below 0.001%
End‑to‑end encryption and zero‑knowledge storage of biometric templates
Scalable cloud API with SDKs for Java, Python, and JavaScript
Compliance with GDPR, CCPA, and ISO/IEC 19794‑6 biometric standards