Multimodal AI
AIEZZ tool tag
Browsing AI products tagged “Multimodal AI”, with 8 matching results.
Oda StudioAI Data ProcessingOda Studio provides customized AI solutions for complex unstructured data, helping architecture, engineering, finance, consulting, media, and gaming teams process drawings, reports, charts, images, and video. Its services cover data processing, computing environments, evaluation workflows, and model deployment, with partnerships primarily established through scheduled consultations.048.3
Roobin.aiEnterprise AI SolutionsRoobin.ai serves enterprises that need customized, multimodal, and secure AI capabilities. It provides generative AI team services, design sprint workshops, budget optimization, and managed support. The platform can integrate with Azure AI and covers installation, operations, and business process integration, supporting use cases such as content creation, software development, human resources, IT support, and customer feedback analysis.037.8
Grok AIAI Conversational ChatGrok AI is an AI conversational tool developed by xAI, designed to combine real-time information from X with Q&A, writing, and coding assistance. Users can ask questions in natural language and hold ongoing conversations about news trends, social discussions, or specific tasks. Its text and image capabilities can also support content creation and information processing. It is suitable for content creators, media professionals, developers, technology enthusiasts, and market analysts seeking topic ideas, public-opinion insights, copywriting, or programming assistance. The product offers free and paid plans; content from social platforms updates quickly and varies in quality, so important information should still be verified against other sources.079.2
Gemini 3.5 FlashAI Intelligent AssistantsGemini 3.5 Flash is an AI assistant for developers, product designers, content and operations teams, and researchers. According to the provided materials, Google introduced it at I/O 2026. It continues the Flash series’ low-latency positioning and is designed for complex reasoning, long-context analysis, and advancing multi-step tasks. Users can input text, images, video, audio, or PDFs, then combine function calling, structured output, search, and code execution for information organization, code generation, debugging, prototype development, and workflow assistance. It is suited to processing long documents, code snippets, and information across multiple files, and can also support enterprise automation and cross-team collaboration. Actual results still depend on input quality, task complexity, and tool configuration, so important content requires human review.068.6
Liquid AIAI ToolboxLiquid AI is an AI toolkit for edge devices. Its core products are Liquid Foundation Models (LFMs), available in sizes ranging from 350M to 2.6B parameters and supporting text, vision-language, audio, and other model types. Developers can use the LEAP platform to download, fine-tune, and deploy models on devices, or use the Apollo mobile app for local testing. The platform serves independent developers, startups, researchers, hardware manufacturers, and enterprises seeking customized solutions, with applications across phones, laptops, cars, and robots. Models are available on Hugging Face; actual performance depends on hardware conditions, model size, and deployment compatibility.057.8
ModelScopeAI ToolboxModelScope is an open-source model service platform launched by Alibaba DAMO Academy. It serves AI developers, researchers, enterprise teams, and educational institutions with a toolchain covering model exploration, inference, training, deployment, and application development. The platform brings together more than 300 models across computer vision, natural language processing, speech, multimodal AI, scientific computing, and other fields, along with model sharing, dataset management, and cloud deployment capabilities. Users can search for models by task, test, fine-tune, or train them, and integrate them into projects through Python libraries and unified interfaces. In practice, compatibility costs should still be assessed based on model dependencies, computing resources, and the deployment environment.058.6
Llama 4AI ToolboxLlama 4 is an open-source multimodal large language model released by Meta in April 2025. It uses a native multimodal architecture and a mixture-of-experts (MoE) model. It can process text, images, video, and audio, and offers variants such as Scout and Maverick, supporting context inputs of up to approximately 10 million tokens. Developers, researchers, enterprise technology teams, and independent creators can input documents, code, or multimedia content for analysis, question answering, summarization, and application development. The model also supports local and private deployment. Actual usage depends on the specific variant, hardware configuration, and deployment environment; an extremely long context does not mean that all tasks will maintain the same level of accuracy.028
GeminiAI Conversational ChatGemini is an AI assistant from Google that supports conversation, creation, learning, and research through web and mobile apps. Google's official Help Center currently lists capabilities including Gemini Live, image generation and editing, Connected Apps, Gems, personalization, and task management features such as Gemini Spark, plans, and skills. It also provides guidance for using work or school accounts and reviewing responses. Gemini is suited to information organization, content drafting, voice communication, visual creation, and assistance with connected Google services. Availability and functionality vary by device, region, language, account type, and Google AI plan. Responses should still be verified through Google's official review tools or original sources, and sensitive information should be handled according to organizational data policies.1189.5All tools with this tag are shown.