VISIGHT Teknoloji provides AI‑driven biometric identity verification solutions that enable secure, real‑time authentication across multiple channels.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses and service providers in Turkey need fast, reliable identity verification that complies with KVKK data‑protection regulations, but traditional methods rely on manual document checks or insecure password systems, leading to fraud risk and poor user experience.
Solution
VISIGHT Teknoloji offers AI‑driven biometric authentication across three integrated products. BioVis is an on‑premise facial‑recognition device that captures and verifies identities in real time for access control and KYC processes. DigiVis enables remote customer onboarding by allowing users to submit facial biometric data via their mobile phones, streamlining digital enrollment while maintaining KVKK compliance. PayVis extends facial recognition to payment workflows, letting consumers authorize transactions with a glance, reducing friction and eliminating the need for cards or PINs. All solutions leverage deep‑learning models for accurate liveness detection and are delivered through a secure, cloud‑connected platform that encrypts data end‑to‑end.
Target Audience
Primary customers are banks, fintech firms, e‑commerce platforms, and enterprises in regulated sectors that require secure, compliant identity verification and frictionless payment experiences.
Features
- BioVis hardware with integrated AI facial recognition and liveness detection for on‑site identity checks
- DigiVis mobile SDK that captures high‑quality facial biometrics remotely for fast digital onboarding
- PayVis facial‑payment engine that authorizes point‑of‑sale and online transactions using a single glance
- KVKV‑compliant data handling with end‑to‑end encryption and secure storage in Turkey
- Real‑time verification results delivered via API for seamless integration with existing systems
- Scalable cloud platform that aggregates biometric data for analytics and continuous model improvement