×
Trellis launches AI platform that turns complex documents into structured data
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

In practical, brass tacks AI news, Trellis introduces an AI-powered document processing platform that transforms complex PDFs and calls into structured data, addressing a crucial pain point for operations and engineering teams. The platform’s combination of advanced OCR capabilities, customizable workflows, and enterprise-grade security features positions it as a solution for organizations seeking to automate document-heavy processes while maintaining data accuracy and compliance.

Key capabilities: Trellis’s platform centers on automated PDF processing and data extraction through advanced OCR technology.

  • The system can accurately capture and convert text, tables, and handwritten content from documents into usable data.
  • Custom validation rules and automated tasks can be configured to match specific workflow requirements.
  • All extracted data maintains direct links to source documents for immediate verification.

Enterprise security features: The platform implements comprehensive security measures for enterprise deployment.

  • SOC II Type-2 certification and HIPAA-compliant environments are available.
  • Data protection includes encryption both at rest and in transit.
  • Private cloud and single-tenant deployment options provide enhanced security control.

Technical integration: The system offers flexible deployment and integration options.

  • Real-time data synchronization with source systems eliminates manual update requirements.
  • SSO and RBAC support enables granular access control.
  • Full audit logs and secure backup systems ensure data integrity and compliance.

Data governance: Trellis emphasizes data privacy and control in its operational model.

  • The platform does not train on user data, maintaining client information confidentiality.
  • Custom validation parameters can be established to ensure data quality standards.
  • Source verification features allow users to trace extracted data back to original documents.
Trellis (YC W24) Is Hiring Eng to Build the Best AI Agents for PDF

Recent News

Hacker admits using AI malware to breach Disney employee data

The case reveals how cybercriminals are exploiting AI enthusiasm to deliver sophisticated trojans targeting corporate networks and stealing personal data.

AI-powered social media monitoring expands US government reach

Federal agencies are increasingly adopting AI tools to analyze social media content, raising concerns that surveillance ostensibly targeting immigrants will inevitably capture American citizens' data.

MediaTek’s Q1 results reveal 4 key AI and mobile trends

Growing revenue but shrinking profits for MediaTek highlight the cost of competing in AI and premium mobile chips amid ongoing market volatility.