Fleak unblocks your data team from batch processing and outdated workflows with LLM integrations. Its API Builder allows Data Scientists, Data Analysts, and Software Engineers to effortlessly create complex operational workflows involving data transformations, model inferencing, embeddings, and microservices integration without the need for infrastructure setup. Fleak instantly generates http API endpoints for each workflow, ensuring auto-scalability and readiness for massive datasets. Supported by 24/7 monitoring, Fleak integrates seamlessly with AWS Lambda, Pinecone, and Snowflake, streamlining data operations and management costs.

Fleak is a low-code serverless API builder designed specifically for data teams. It integrates with large language models (LLMs) to enhance workflow automation. This tool allows users to streamline their data processes by creating custom APIs without extensive coding knowledge. Fleak's primary function is to simplify the development and deployment of serverless applications, making it easier for teams to manage and automate complex data workflows.

By leveraging low-code capabilities, Fleak enables users to focus on high-level tasks while automating repetitive processes. This approach helps improve efficiency and productivity within data teams. Fleak's integration with LLMs also supports advanced data analysis and processing tasks, further enhancing its utility in data-driven environments. Overall, Fleak provides a versatile platform for automating workflows and managing data operations effectively.

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Website: fleak.ai

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