Audience
Security teams, fraud teams, HR and recruiting teams, finance teams, IT/help-desk teams, enterprises, banks, fintech companies, insurance companies, professional services firms, and any organization that needs to verify identity and detect AI impersonation during live video or voice calls.
About Diopter
Diopter AI is a real-time deepfake and AI impersonation detection platform for live video and voice calls. It helps organizations verify who they are speaking with by detecting synthetic faces, cloned voices, virtual camera attacks, and suspicious social-engineering patterns during high-risk interactions.
Security, HR, finance, and support teams use Diopter to reduce the risk of executive impersonation, help-desk scams, fraudulent approvals, fake candidate interviews, and AI-enabled social engineering. Diopter is built for teams that need confidence in live digital communication, not just after-the-fact media analysis.
Other Popular Alternatives & Related Software
IDLive Face Plus
IDLive Face Plus complements IDLive Face presentation attack detection with injection attack detection, providing comprehensive protection from deepfakes and other types of fraudulent digital imagery. Detect injection attacks that use virtual and external cameras. Prevent browser JavaScript code modifications on both desktops and mobile devices. Prevent man-in-the-middle replay attacks. Protect from emulators, cloning apps, and other software used for fraud. Improve presentation attack detection performance. Facial recognition security relies on presentation attack detection (PAD) to ensure that a biometric selfie is not actually a fraudster presenting a non-live facial image to the camera, such as a printed copy, screen replay, or 3D mask. IDLive Face Plus combines award-winning presentation attack detection with a unique approach to injection attack detection to prevent deepfakes and other fraudulent digital content.
Learn more
Clarity
Scalable, real-time detection of deepfakes wherever and whenever they strike, for today and for the future. Deepfakes are a threat, unlike anything the world has seen before. They undermine our fundamental trust in society and each other, and they constantly change to evade detection. They are cheap, universal, and are in everybody's hands. They appear in all digital media, video, audio, and images and they can impersonate anyone. Detecting deepfakes requires sophisticated and ongoing research in Al and cyber. The best minds are collaborating with our experts to build the best technology globally. Clarity is an AI cybersecurity startup that protects against deepfakes and new social engineering and phishing attack vectors accelerated by the rapid adoption of generative AI. Its patent-pending technology detects AI manipulations in videos, images, and audio and authenticates media with encrypted watermarking.
Learn more
DuckDuckGoose AI
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.
Learn more
Oz Liveness
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 .
Learn more
Pricing
Pricing Details:
Contact for pricing
Integrations
Company Information
Diopter AI
Founded: 2026
United States
diopter.ai
Videos and Screen Captures
Other Useful Business Software
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime
Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Product Details
Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Online