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 .
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LoginID
With just a few lines of code, LoginID enables websites and apps to integrate FIDO/FIDO2 certified multi-factor authentication via our easy to use SDKs and APIs. Our platform leverages the biometrics on the end user's device to create a private key, public key pair that allows for seamless strong customer authentication. No app installation is required and the private key is stored securely on the end user's device, never leaving. Additionally, LoginID offers Transaction Confirmation, where a transaction can be cryptographically signed providing proof of the user’s confirmation of that specific transaction, which is perfect for merchants who want payment authentication services. LoginID is aligned with PSD2, GDPR, CCPA, and HIPPA. We have SDKs for iOS, Android, React-Native, Web, Python, Java, and Node as well as a WordPress Plugin.
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Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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HyperVerge
Companies in Fintech, Crypto, Gaming, Edtech, BFSIs, Telecom, Marketplace etc use HyperVerge’s Identity Verification Platform for onboarding customers seamlessly, fraud checks, face authentication, age verification, document verification, eKYC and other services. HyperVerge currently helps clients onboard over 30 million customers every month (~3% of India’s population).
With just an ID and a Selfie, you can verify the identity of your customer in seconds. You can prevent fraud and ensure compliance with AML/KYC. Customer onboarding TAT can be reduced from several hours to just a few seconds.
With an accuracy of 99.5% (the highest among competitors) and 600+ million KYCs across 200+ countries since 2019, HyperVerge’s technology is built for scale. They work with SBI, LIC, Jio, Vodafone, Bajaj Finserv, L&T, Swiggy, WazirX, Coinswitch, Razorpay, ICICI Securities, SBI Cards, Grab, CIMB, FE Credit, Home Credit, and 100+ clients across 5+ geographies for their onboarding journeys.
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