SafeLens: reading between the safety records
A near-miss report is one observation. Hundreds of thousands of reports can become organizational memory—if we know how to ask useful questions.
Read the story →Intelligence for the people, records, and decisions that keep scientific laboratories moving.
Build AI tools for laboratory operations that support operational excellence and predictive maintenance. Our research connects diverse operational evidence with grounded reasoning, expert oversight, and useful decision support.
A near-miss report is one observation. Hundreds of thousands of reports can become organizational memory—if we know how to ask useful questions.
Read the story →A drawing is more than its filename. BLUEPRINT connects what a page says, where it says it, and what an engineer needs to find.
Read the story →Discover engineering knowledge and actionable insights across laboratory records.
Explore research →Connect operational evidence with hazard assessment and actionable safety insights.
Explore research →Support traceable classification and human review in laboratory governance.
Explore research →Engineering drawings · Incident records · Laboratory documents · Policies & procedures
Multimodal retrieval · Retrieval-augmented generation · Agentic reasoning · Evaluation
Knowledge discovery · Safety & risk intelligence · Compliance & governance
Discover evidence · Assess hazards · Review decisions · Share insights
Multimodal retrieval for complex engineering drawings and documents.
Research & resources →Evidence-grounded predictive risk analysis and automated safety report generation.
Research & resources →Retrieval-augmented classification of high-risk property with intelligent decision-making.
Research & resources →Chemical hazard assessment and evaluation: hybrid retrieval-augmented decision support and safety benchmarking.
Research & resources →AI-augmented exploration of organizational safety records for actionable insights.
Research & resources →Structured agentic dialogue for hazard identification analysis.
Research & resources →AI compliance tool that compares regulation versions, maps impacts to internal procedures, and generates change recommendations.
Research & resources →Extracts requirements from DOE orders & eCFR, compares against internal procedures, and maps gaps and conflicts.
Research & resources →AI decision impact platform that evaluates how operational or policy decisions affect risk posture, compliance, and operations.
Research & resources →AI vision tool that analyzes images of any space or equipment with text context to rapidly identify safety hazards.
Research & resources →Agentic AI performing 5-Whys root cause analysis and barrier extraction on incident reports.
Research & resources →AI anomaly detection for procurement that flags items incorrectly classified as quality-insignificant before they slip through.
Research & resources →Sanjay Das et al. (2026). REFSafE: A RAG-Enabled Framework for Predictive Risk Analysis and Automated Safety Report Generation in Mission-Critical Environments. RAG4Reports, pp. 47–56.
Sanjay Das et al. (2026). ORCHID: Orchestrated Retrieval-Augmented Classification of High-Risk Property with Intelligent Decision-Making. RAG4Reports, pp. 57–64.
Ethan Seefried et al. (2027). BLUEPRINT Rebuilding a Legacy: Multimodal Retrieval for Complex Engineering Drawings and Documents. WACV 2027.
Ran Elgedawy et al. (2026). ChemSafe: Hybrid Retrieval-Augmented Decision Support for Laboratory Chemical Hazard Assessment. JCDL.
Submitted to NeurIPS
Ran Elgedawy et al. (2026). SafeChem: A Benchmark Dataset for Multi-Label Chemical Hazard Prediction and LLM Safety Hallucination Evaluation. ChemRxiv.
Sanjay Das, Ryan Burchfield, Gavin Wiggins, Alan Guy, and Tirthankar Ghosal (2026). SafeLens: AI-Augmented Exploratory Analysis over Organizational Safety Records for Actionable Insights Generation. JCDL.
Sanjay Das, Ran Elgedawy, Ethan Seefried, Ryan Burchfield, and Tirthankar Ghosal (2026). Enhancing Operational Safety via Agentic Dialogue Hazard Identification Analysis. SIGDIAL, pp. 757–772.