Welcome to Supametas.AI
Supametas Docs provides tutorials and guides for API, webhook, and cloud services, empowering your LLM RAG and data transformation journey.
Last updated
Supametas Docs provides tutorials and guides for API, webhook, and cloud services, empowering your LLM RAG and data transformation journey.
Last updated
Supametas.AI is a development platform focused on processing large-scale unstructured data, aimed at assisting developers and businesses in efficiently handling web pages, audio/video files, images, text, and other unstructured data. It transforms this data into structured data suitable for large-scale knowledge bases. Even non-technical users can easily engage in data operations and application development using Supametas.AI.
By integrating various data processing technologies, including support for diverse data types, intuitive interfaces, and flexible frameworks, we offer users two ways to process data simultaneously: online processing and API integration. This greatly simplifies the data cleansing development process, allowing developers to focus on large-scale model innovation and business requirements.
Supametas.AI Data Processing Platform is an optimized end-to-end data processing solution. Instead of investing time in intricate GenAI data processing, leverage the Supametas.AI platform to swiftly build and optimize your datasets.
Supametas.AI is developed by a professional team and community. You can now process and manage unstructured data through our online cloud service platform (https://supametas.ai). Additionally, our open-source version and private deployment options are undergoing final adjustments to offer enterprise users more choices, ensuring complete data control and high security.
The name "metas" in Supametas.AI signifies our mission, aiming for the easier collection, creation, and preprocessing of your industry-specific datasets integrated into the LLM RAG retrieval knowledge base. Designed for large model applications, it swiftly transforms AI concepts into foundational supporting data, accelerating project success and iteration.
Quickly translate AI ideas into foundational supporting data, enhance MVP development speed, attract investments, or secure customer orders.
Enhance the functionality of existing applications by separating prompts from business logic through RESTful APIs, enabling easy management of underlying data.
Deploy as an internal LLM data layer gateway to accelerate the application of GenAI technology and achieve centralized governance.
Whether a tech enthusiast or a professional developer, easily engage in data processing through Supametas.AI.
Supametas.AI can be applied across various fields, providing solutions for users with diverse needs:
AI Healthcare: Handling medical cases, healthcare videos, supporting intelligent diagnosis, and medical data management.
AI Legal: Processing legal texts, courtroom videos, investigative images, supporting legal document and case analysis data management.
AI Marketing: Managing advertisements, poster designs, for precise marketing and advertising effectiveness analysis data management.
AI Digital Persona: Creating blogs, podcasts, search engine content, supporting digital persona creation and content data management.
AI Customer Service: Managing product images, attributes, enabling intelligent customer service and automated customer support data management.
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Supametas.AI is committed to leveraging innovative data processing technologies to assist businesses and developers in efficiently harnessing unstructured data, thereby enhancing productivity and innovation. We believe that through our platform, you can easily achieve data processing automation and swiftly build efficient AI applications.
We hope the above information helps you understand Supametas.AI's products and advantages. We believe Supametas.AI is the best choice tailored for you.
If you wish to process unstructured data online, click on View Cloud Service Guide.
If you are a developer and wish to process unstructured data through an interface, click on API.
