This startup provides an open-source platform for building generative AI applications. It enables developers to make unstructured data queryable using SQL and semantic search, automatically updating indexes as new data is ingested.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to extract structured data from unstructured documents like contracts, forms, and PDFs, hindering the automation of key business processes and the effective use of AI. Existing parsing tools often lack the accuracy and layout understanding required to handle the complexity of real-world enterprise documents.
Solution
Tensorlake provides an AI Data Cloud platform that transforms unstructured data from documents into ingestion-ready formats for AI applications. The platform offers a Document Ingestion API for parsing files, extracting structured data, and classifying documents, as well as a Workflows API to build and deploy serverless data processing pipelines using Python. Tensorlake's layout-aware parsing segments documents semantically and applies specialized models per region, achieving high accuracy in extracting metadata, tables, key-value pairs, and visual indicators like signatures and strikethroughs. The platform scales to process millions of documents while maintaining context and relationships, enabling users to build RAG systems, agentic apps, and automation pipelines.
Target Audience
Tensorlake is designed for developers building RAG systems, agentic applications, and automation pipelines, as well as enterprises in finance, healthcare, and other industries dealing with large volumes of unstructured documents.
Features
- Document Ingestion API for parsing various file types, including handwritten notes, PDFs, and spreadsheets
- Serverless Workflows API for building and deploying data processing pipelines using Python
- Schema-driven parsing to extract structured data from messy files
- Document chunking to split documents into smaller pieces for RAG and LLMs
- Signature and strikethrough detection to turn visual cues into usable flags
- Form and table parsing with bounding boxes and layout information
- Fully managed infrastructure with zero-cost scaling
- Role-based access control and namespaces for data protection and team collaboration