Crowdin
Crowdin, a localization management software powered by AI, facilitates the localization of diverse content such as websites, mobile apps, games, desktop and web applications, help centers, blogs, and email campaigns. With a repertoire of over 600 add-ons and integrations, the platform streamlines the localization process and supports over 100 file formats. Crowdin uses cutting-edge technology to simplify translation and localization tasks, providing easy-to-use solutions for seamless implementation.
Crowdin supports more than 100 file formats, including but not limited to files for mobile, software, documents, subtitles, and graphic assets:
.xml, .strings, .json, .html, .xliff, .csv, .php, .resx, .yaml, .xml, .strings and on.
Continuous localization for all your content:
✓ Software
✓ Mobile Apps
✓ Websites
✓ Marketing content
✓ Help center
✓ Games
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Join thousands of people already making their products multilingual 🚀
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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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MuseNet
We’ve created MuseNet, a deep neural network that can generate 4-minute musical compositions with 10 different instruments and can combine styles from country to Mozart to the Beatles. MuseNet was not explicitly programmed with our understanding of music, but instead discovered patterns of harmony, rhythm, and style by learning to predict the next token in hundreds of thousands of MIDI files. MuseNet uses the same general-purpose unsupervised technology as GPT-2, a large-scale transformer model trained to predict the next token in a sequence, whether audio or text. Since MuseNet knows many different styles, we can blend generations in novel ways. We’re excited to see how musicians and non-musicians alike will use MuseNet to create new compositions! Choose a composer or style, an optional start of a famous piece, and start generating. This lets you explore the variety of musical styles the model can create.
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