Tensorlake

About Tensorlake

Tensorlake transforms raw, unstructured data into structured formats ready for AI-powered applications. With its intelligent Document Ingestion APIs, users can effortlessly parse diverse file types like PDFs, handwritten notes, and spreadsheets, preserving reading order, layout, and structure. The platform takes data preparation a step further by performing seamless post-processing tasks, such as chunking, to optimize retrieval and analysis for large language models. For even greater flexibility, Tensorlake’s Workflow APIs allow users to build and deploy scalable data processing pipelines in Python that adapt dynamically to workload demands, scaling to zero when idle and spiking during peak usage. Advanced role-based access control (RBAC) and namespaces ensure data is protected and collaboration is secure, while comprehensive logs provide total visibility and compliance. Tensorlake simplifies complex data workflows, enabling users to extract insights faster while focusing on innovation rather than infrastructure.