BLAZE is the award-winning, AI-Powered Cannabis Retail Platform, purpose-built for dispensary growth. Founded by former cannabis operators, we genuinely understand the business, offering the gold standard in support and constantly pushing out new, intelligent features.
Our powerful AI core is focused on driving unprecedented automation. This means huge labor and cost savings for your team, all while maximizing sales across every channel. The BLAZE ecosystem is your unified, all-in-one solution:
BLAZE Retail POS: A fast, intuitive, web-based system perfect for high-volume sales.
BLAZEPAY: Integrated payments that eliminate cash headaches and instantly boost your average ticket size.
BLAZE ECOM: Complete omni-channel commerce (Online Menu, Mobile App, Kiosks) designed so you fully own all your customer data.
BLAZE Sites: A dynamic CMS for compliant, professional website control.
We take compliance seriously with automated Metrc and BioTrack integrations, and our robust API ensures seamless, deep integration with any enterprise system you need. Simply put, BLAZE is how you future-proof your retail business.
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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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illumos
Illumos is a Unix-based operating system that introduces cutting-edge features for downstream distributions, such as enhanced system debugging, a next-generation filesystem, advanced networking, and virtualization capabilities. It is developed collaboratively by volunteers along with companies that create products utilizing the software. Serving as a robust foundation for both traditional and cloud-native environments, illumos offers new users an excellent starting point with distributions like OmniOS and OpenIndiana. Users can opt to install it on virtual machines or directly on bare metal. To build illumos, an illumos-based operating system is required since cross-compilation is not an option. The software is freely accessible through its source repository. Hosting a variety of technologies, illumos boasts features like ZFS, DTrace, Zones, ctf, and FMA, among others. We take pride in delivering a stable, highly observable system that distinguishes itself technologically. With a rich engineering legacy, illumos can trace its origins back through Sun Microsystems to the early developments of UNIX and BSD, showcasing its historical significance in the evolution of operating systems. Its commitment to innovation continues to attract developers and users alike.
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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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