Sumsub
Sumsub is a full-cycle verification platform that secures every step of the user journey. With Sumsub’s customizable KYC, KYB, AML, Transaction Monitoring and Fraud Prevention solutions, you can orchestrate your verification process, welcome more customers worldwide, meet compliance requirements, reduce costs and protect your business.
Sumsub achieves the highest conversion rates in the industry—91.64% in the US, 95.86% in the UK, and 97.89% in Hong Kong—while verifying users in less than 50 seconds on average.
Sumsub’s methodology follows FATF recommendations, the international standard for AML/CTF rules and local regulatory requirements (FINMA, FCA, CySEC, MAS, BaFin).
Sumsub has over 2,000 clients across the fintech, crypto, transportation, trading, e-commerce and gaming industries including Bitpanda, Wirex, Avis, Bybit, Huobi, Kaizen Gaming, and TransferGo.
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EasyDMARC
EasyDMARC is a B2B SaaS solution that makes email authentication simple for small, medium, and enterprise businesses. In short, we secure domain and email infrastructure, protecting you and your business from phishing (email spoofing) attacks and increasing email deliverability.
EasyDMARC’s deliverability tool, EasySender, covers all the aspects of email deliverability. The variety of features on the platform cover email list verification, mailbox warmup, and inbox placement.
With EasyDMARC, you can achieve the following:
-Visibility to the business email environment
-Business identity control
-Operations and communication security
-Email deliverability
With offices in the US, Netherlands, and Armenia, the company delivers the most comprehensive products for anyone who strives to build the best possible defence for their email ecosystem. EasyDMARC ultimately provides peace
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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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