Synthetic Intelligence for Data Integrity (SYNDI) Documentation

Welcome to the comprehensive documentation for SYNDI, a next-generation Laboratory Information Management System (LIMS) designed for modern research environments. This integrated platform combines three powerful, interdependent components to streamline laboratory operations, ensure compliance, and accelerate scientific discovery. Our documentation serves researchers, developers, system administrators, and compliance officers with detailed guides, APIs, and best practices.

SYNDI consists of three core components working in harmony:

  • PAUL (Protocol Automation Librarian) - Standard Operating Procedure (SOP) and data element extraction from written protocols

  • SAM (SOP Automation to Models) - Chained SOP authoring, validation, and cataloging

  • CLAIRE (Compliant Ledger-based Automation for Integrated Reporting and Export) - Uses SOP forms to collect and track electronic notebook (ELN) data with full provenance and reproducibility.

SYNDI Workflow

🧪 SME
writes
Protocol
→
🤖 PAUL
Extracts
SOP
→
🔍 SAM
Validates
SOP
→
📋 CLAIRE
Collects
ELN
→
🧠
AI-ready Data

How SYNDI Works:

  1. 🧪 SME writes Protocol - Subject matter experts create laboratory protocols

  2. 🤖 PAUL Extracts SOP - Automatically extracts Standard Operating Procedures and data elements

  3. 🔍 SAM Validates SOP - Validates and optimizes the extracted procedures

  4. 📋 CLAIRE Collects ELN - Collects Electronic Lab Notebook data via validated SOPs

  5. 📊 Results & Reports - Downstream pipelines extract meaningful data slices with full provenance to generate compliant reports and analytics

Key Documentation Areas

  • Product Documentation: Comprehensive guides for each component (CLAIRE, PAUL, SAM)

  • User Guides: Step-by-step workflows for laboratory personnel

  • High Level Design: System architecture and high level design

  • Developer Resources: APIs, integration guides, and technical specifications

  • System Administration: Deployment, configuration, and maintenance

  • Compliance: Regulatory requirements and audit trails

  • AI Partnering: How to partner with AI agents to get the most of these tools

Contents: