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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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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Omnis Studio
Omnis Studio is a cross-platform application development environment.
Omnis Studio allows programmers and application developers to create application code once and then deploy their applications on almost any platform or device. This includes desktop PCs on Windows, macOS, and tablets as well as phones on iOS, Android, and Windows. Omnis JavaScript Client supports a wide range of client devices. This unique JavaScript-based technology renders the application UI and web pages in a standard web browser for desktops and mobile devices. Omnis Studio allows data and service integration via REST-based Web Services. The Omnis Studio API lets you extend the functionality of Omnis Studio with its powerful and flexible external components API.
Omnis is headquartered at the UK, and has subsidiaries in USA and France. There are also distributors for many other parts.
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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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