SIFT provides AI‑driven environmental, health, and safety (EHS) compliance automation for manufacturing plants.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers rely on manual, fragmented processes and multiple legacy tools to manage environmental, health, and safety (EHS) compliance, leading to high labor costs, regulatory fines, and difficulty keeping up with constantly changing standards such as OSHA, EPA, ISO, and FDA requirements.
Solution
SIFT delivers an AI‑driven compliance platform that turns EHS management into a conversational interface. Context‑specific AI agents, trained on verified regulatory databases, provide instant answers to queries, generate job hazard analyses, SOPs, and training reports, and continuously monitor IoT sensors, cameras, and ERP data for real‑time compliance checks. Multiple verification layers and cross‑referencing eliminate hallucinations, ensuring guidance remains accurate as regulations evolve. The system integrates seamlessly with existing manufacturing infrastructure, automating data collection, risk assessment, and reporting while reducing the need for manual workflows. By centralizing compliance tasks in a single, AI‑powered platform, manufacturers can lower compliance costs, avoid fines, and improve workplace safety.
Target Audience
Primary customers are EHS managers, safety officers, and plant operators in manufacturing companies seeking to automate compliance and reduce manual workload.
Features
- Conversational AI interface that understands plain English queries and generates EHS documentation on demand
- Continuous integration with IoT devices, sensors, cameras, and ERP systems for real‑time monitoring and automated reporting
- Verified regulatory database covering OSHA, EPA, ISO, FDA, and custom industry standards with automatic updates
- Multi‑layer verification and cross‑referencing to prevent AI hallucinations and ensure accurate compliance guidance
- Automated generation of job hazard analyses, SOPs, training compliance checks, and respirator fit‑test scheduling
- Scalable architecture that supports small facilities to large enterprise operations with modular pricing