Healthcare AI · Lab Operations
LabFlow AI
Workflow Structuring & Validation Layer for Scientific Operations
AI workflow copilot that converts unstructured scientific SOPs into structured, traceable, semantic-ready experiment records — with human-in-the-loop review and full auditability.
Key Capabilities
- Converts unstructured SOPs into structured, step-by-step workflows
- Extracts materials, parameters, and expected outputs per step
- Flags ambiguities and missing metadata for human review
- Human-in-the-loop review layer with inline annotation support
- Maintains full auditability and workflow traceability
- Semantic-ready output compatible with knowledge-graph pipelines
Why This Matters
Structured over black-box
Converts ambiguous SOPs into step-by-step records with full traceability — not a summarization tool.
Human-in-the-loop by design
Every automated extraction goes through a human review layer before becoming canonical.
Semantic-ready output
Compatible with knowledge-graph pipelines and downstream ML workflows.
Tech Stack
Next.jsFastAPISupabaseOpenAI-compatible LLMVercelRender
FastAPI + Next.js + Supabase + OpenAI-compatible LLM + Vercel + Render