Transform Data

Into KnowledgeTensorlake is the AI Data Cloud that reliably transforms data from unstructured sources into ingestion-ready formats for AI Applications

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Tensorlake Cloud is Here: Document Ingestion and Orchestration for AI Workflows from Tensorlake on Vimeo

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Supercharge your Agents or Business Processes

One platform to turn any file into LLM-Ready Data

Seamlessly convert documents, images, and slides into structured JSON or markdown chunks, ready for retrieval and analysis by LLMs.

  from tensorlake.documentai import DocumentAI, ParsingOptions

  doc_ai = DocumentAI(api_key="xxxx")

  file_id = doc_ai.upload(path="/path/to/file.pdf")

  job_id = doc_ai.parse(file_id, options=ParsingOptions())

  data = doc_ai.get_job(job_id)

TENSORLAKE DOCUMENT INGESTION

API for Document Parsing, Structured Extraction and Classification

Use the Document Ingestion APIs to parse any file type, from hand-written notes to PDFs to complex spreadsheets and more. The API performs post-processing steps like chunking and preserves the reading order and layout of the documents.

TENSORLAKE SERVERLESS WORKFLOWS

Lightning-Fast Serverless Workflows for End-to-End Data Processing

Build and deploy fully managed Workflow APIs for processing any type of data using Python. They scale down to zero when they are idle, and scale up when they are processing data.

TENSORLAKE DOCUMENT INGESTION

Unlock Higher Accuracy for RAG and Improve Business Process Automation

Connect your data sources or upload files through Document Ingestion to produce structured chunks optimized for RAG workflows.

Upload Files

Our API easily support 10s of 1000s of requests a day.

Call our API

Call the Parse or Extract API to start parsing a file.

Get Your Results

Retrieve the transformed data instantly or via webhook.

Handwritten Notes

Nested Table Data

Mixed-Language Documents

Property Deeds

Global Trade Paperwork

Tax Audit Papers

TENSORLAKE SERVERLESS WORKFLOWS

Serverless Data Endpoints to Integrate Data into LLMs Faster

End-to-End Data Intensive WorkflowsBuild workflows in Python, capable of running on any hardware, that transforms ingested data and writes to your databases

Limitless Scale Without Databases, Queues or External Map-Reduce Engines

Process a handful to over a million documents at once with unparalleled accuracy and unit economics.

10,000events/invocations a second

100,000+documents processed per customer a day

8e-6/secof latency

0.003/secfor end-to-end task completion

Workflow and Map-Reduce SimplifiedExpress data dependencies between python functions for describing workflows.Lists are automatically processed in parallel.

Secure by DesignUse RBAC and namespaces for precise access control and data protection, enable effective team collaboration and streamlined workflows, and leverage detailed logs for full visibility and compliance.

Being able to easily process millions of documents at once, while maintaining context and relationships between emails, pdfs, sheets, everything! It’s not just about the speed, it’s the intelligent data extraction that makes this a game changer.

Ryland GoldsteinHead of Product, Temporal.io

Build a Bridge Between Your

Data And LLMsWhether its a document, a spreadsheet, presentation, or image, Tensorlake helps you extract information from them and build workflows to feed them into LLMs.

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