You can build custom document ingestion and transformation workflows on Tensorlake. These workflows can be built using the Tensorlake SDK and exposed as REST APIs.

They run on fully managed infrastructure to eliminate the complexity of building distributed systems or managing hardware. They scale down to zero when no data is being processed, ensuring you only pay for active data processing.

Workflows can be triggered by the output of the Document Ingestion API, allowing you to build end-to-end pipelines for chunking, summarization, or enrichment of documents in the Tensorlake cloud without additional infrastructure.

Explore how Tensorlake fits into your workflow with these use cases.


Insurance and Financial Services


Agents and RAG Workflows


HR and Onboarding

  • Employee Packet Review: Detect missing initials, unchecked boxes, or unsigned fields in onboarding documents.
  • Resume Parsing: Extract skills, experience, and education from resumes into structured formats like Airtable or ATSs.


Operations

  • Automated Routing: Trigger actions based on document content—e.g., missing signatures or selected form values.
  • Form Field Normalization: Standardize K/V pairs across variable forms to power analytics or dashboards.

Need help building your own workflow? Join the Slack Community to ask questions or share ideas!