ARGOS Identity provides AI-powered identity verification, fraud prevention, KYB, and workflow automation solutions for businesses operating in regulated and high-risk industries.
ARGOS ID Check enables organizations to verify customers remotely using identity document authentication, facial recognition, selfie verification, liveness detection, AML screening, age verification, and additional fraud signals. The platform supports identity documents from more than 200 countries and is designed for fintech, gaming, virtual assets, e-commerce, telecommunications, and other digital platforms.
Businesses can configure their verification process by selecting the modules that match their compliance requirements and risk tolerance. ARGOS can help identify forged documents, deepfakes, duplicate users, bots, VPNs, and suspicious activity while maintaining a fast and straightforward onboarding experience.
For business verification, ARGOS Omni automates KYB and compliance workflows. Omni supports document collection and extraction, business registry searches, ownership and UBO identification, AML screening, case management, and audit reporting. Custom workflows and decision rules help teams reduce manual reviews and apply compliance policies consistently.
ARGOS gives businesses one flexible platform for verifying people and companies, preventing fraud, lowering operational costs, and scaling compliant onboarding.
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AIMS360 apparel software is the most popular ERP for the fashion industry. The fashion software features cover the entire fashion business lifecycle. AIMS360 business management software covers production, material and finished goods purchasing, omni-channel order taking, order processing, automated inventory management, warehouse management, shipping, invoicing, accounts receivable, and more. Get a demo of AIMS360’s 100+ apparel software features & integrations.
Our most popular integrations: Shopify, JOOR, NuOrder, Brandboom, EDI, DSCO, Dropship, 3PL Integrations, Factoring, & more.
See the AIMS360 fashion ERP website for our full features & integrations list.
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Tefter
Tefter for Teams allows your group to quickly align by providing rapid access to essential links from any device and directly through Slack. The Omni browser extension, which serves as both a tab switcher and a robust history search tool, enhances bookmarking capabilities significantly. With Omni, every team member can effortlessly retrieve shared bookmarks. You can create handy shortcuts using commands like /go, so any link is just a keystroke away. Simply press alt + a in Omni or type go <alias> in your browser's address bar to access your favorites. This means you can easily replace frequent queries, such as “What’s the standup link?” by typing /go standup. By integrating with Slack, our app enables workspace members to add bookmarks, search through them, and generate shorthand aliases for quick access. Additionally, users can scan messages for links and save them as bookmarks. Tefter remains committed to providing its services free of charge to open-source teams, ensuring they have the tools they need without any financial barriers. This dedication to accessibility fosters collaboration and efficiency among teams.
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Ming-Flash Omni 2.0
Ming-Flash Omni 2.0, developed by Ant Group, represents a comprehensive large language model that operates on a cohesive multimodal framework, emphasizing a philosophy of “modal unity + task unity.” This model, as a part of the Ming series, is engineered to facilitate an integrated understanding and generation of content across various modalities, including text, images, audio, and video, thus eliminating the need for multiple specialized models to perform distinct tasks such as seeing, hearing, speaking, and drawing. Progressing from its predecessors, Ming-Light Omni and Ming-Flash Omni Preview, this iteration advances from validating a unified architecture and scaling to hundreds of billions of parameters to implementing a Data Scaling approach that achieves state-of-the-art performance in open-source environments across numerous benchmarks. Notably, the model encompasses four essential capability modules: image-text comprehension, video interpretation, speech generation, and image creation or manipulation. To enhance image-text understanding, Ming employs structured knowledge graphs that contribute to a more nuanced visual perception. This innovative approach not only broadens the model's applicability but also sets a new standard in the field of artificial intelligence.
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