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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Reflectiz
Reflectiz is a web exposure management platform that helps organizations identify, monitor, and mitigate security, privacy, and compliance risks across their online environments. It provides full visibility and control over first, third, and fourth-party components like scripts, trackers, and open-source libraries that traditional security tools often miss.
Operating remotely without embedding code, Reflectiz ensures no impact on site performance, no access to sensitive user data, and no additional attack surface. The platform analyzes your digital supply chain, identifying risks in real-time and allowing for swift mitigation.
Reflectiz offers a centralized dashboard for monitoring all public web assets, empowering teams with governance, risk management, and continuous monitoring. It helps businesses reduce attack surfaces, enhance security, and maintain compliance with evolving standards—without requiring code modifications.
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Darknet
Darknet is an open-source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do. Darknet is easy to install with only two optional dependencies, OpenCV if you want a wider variety of supported image types, and CUDA if you want GPU computation. Darknet on the CPU is fast but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. By default, Darknet uses stb_image.h for image loading. If you want more support for weird formats (like CMYK jpegs, thanks Obama) you can use OpenCV instead! OpenCV also allows you to view images and detections without having to save them to disk. Classify images with popular models like ResNet and ResNeXt. Recurrent neural networks are all the rage for time-series data and NLP.
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