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Endigest AI Core Summary
Ecolab unified nine siloed data sources into a single intelligent platform using Databricks and Claude AI models.
•Consolidated data from audits, health inspections, IoT telemetry, checklists, chemical logs, weather, Yelp, CDC data, and FDA food codes into a governed lakehouse
•Implemented multi-agent system using Claude Sonnet for complex reasoning and Claude Haiku for fast summarization
•Dual-layer memory architecture combines short-term conversation buffer (with automatic summarization every 3 turns) and long-term semantic profiles per user
•Reduced compliance report generation time from two weeks to under two minutes
•Supports twelve languages at ~98% accuracy, enabling frontline staff to get cited answers from 700-page FDA regulations in seconds
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