2 Pear Tree Cottage, Stodmarsh, Canterbury, United Kingdom, CT3 4BA
2 Pear Tree Cottage, Stodmarsh, Canterbury, United Kingdom, CT3 4BA
Low-latency capture and matching across web and mobile.
Passive and active checks to stop spoofing and deepfakes.
GDPR-ready retention, encryption, and regional controls.
Risk scoring and adaptive rules that reduce identity fraud.
About Watermill Media
WATERMILL MEDIA LIMITED delivers biometric authentication and AI-powered identity verification for fintech, marketplaces, and enterprises. We design secure pipelines from capture to decisioning with a seamless user experience and measurable fraud reduction.
Multi-factor biometric security with step-up verification.
Privacy-first architecture and secure data encryption.
Watermill Media Founded in 2014
Discovery
Model design
Integration
Monitoring
Why it works
We combine adaptive biometrics, device signals, and encrypted storage to stop fraud while keeping conversion high for legitimate users.
Compliance-first data handling
Continuous fraud monitoring
Reduce identity fraud without compromising
the user experience.
Use cases
FAQ
We combine document capture, real-time face detection, and liveness checks to confirm identity. Signals are scored to enable adaptive step-up verification and reduce friction for legitimate users.
Encryption, audit trails, and privacy-compliant storage are built into every deployment.
Continuous monitoring and alerts
We use passive and active signals to detect masks, replays, and deepfakes before a match is approved.
Yes. We support SDKs and APIs for iOS, Android, and web with consistent UX and performance.
We encrypt data in transit and at rest with retention controls and privacy-compliant data storage options.
Yes. Multi-factor biometric security allows risk-based step-up flows when signals indicate higher risk.
Verified identities
Fraud attempts blocked
Countries supported
Enterprise deployments
API uptime (99.9%)
Engagement models
Leadership
Head of AI
Security Architect
Product Lead
ML Engineering
Testimonials
The liveness detection and risk scoring reduced account takeovers while keeping onboarding fast for legitimate users.
Head of Risk, Fintech
Integration was smooth across web and mobile. Fraud prevention signals helped us cut manual reviews by 40%.
VP Operations, Marketplace
Insights
07
Feb
Signal design, passive checks, and device integrity insights.
07
Feb
Design patterns for seamless user experience at scale.
07
Feb
Retention, consent, and secure data encryption best practices.