Diopter

Oz Liveness is a leading facial recognition and authentication software used by private and public organizations across the globe to lower the risk of biometric fraud by preventing deepfake and spoofing attacks with 100% accuracy. The technology has been validated by the industry’s most rigorous testing standard, ISO 30107-3 iBeta level 1 and 2 certifications. It helps organizations validate they are dealing with a real person within seconds, lowering compliance and fraud risks. Oz Liveness features advanced algorithms able to detect many forms of biometric spoofing, including 3D and 2D masks and photos along with photos or videos displayed on a mobile or a laptop screen. On-device Liveness detection and face biometry checks allow to use of a phone as a personal biometric device. No data is sent to the server from the device and stays in the customer's hands. On-device Liveness is perfect in any customer’s use case, improving the reachability and stability of the services .

DuckDuckGoose is an enterprise deepfake detection platform designed to help organizations identify AI-generated or manipulated media. The technology detects deepfake images, videos, voices, and identity documents before they reach verification systems or decision engines. Built for identity, compliance, and digital risk teams, the platform integrates easily into existing systems through APIs and SDKs. DuckDuckGoose provides forensic-level analysis with explainable results, visual evidence, and detailed detection logs. Its detection engine is trained on diverse datasets to accurately flag synthetic media while maintaining a low false-positive rate. The platform supports multiple deployment options, including cloud, on-premise, and hybrid environments. By identifying manipulated content early, DuckDuckGoose helps organizations prevent fraud, protect digital identity systems, and maintain regulatory compliance.