This is like giving your construction safety program a smart assistant that constantly watches your safety data, predicts where accidents are likely to happen, and reminds your team what to fix before someone gets hurt.
Traditional construction safety relies on manual inspections and paperwork, which makes it hard to spot patterns, predict incidents, and keep all sites compliant in real time. SALUS IQ aims to use AI to turn scattered safety data into proactive insights and recommendations, reducing incidents and administrative overhead.
Tight integration into construction safety workflows and accumulated safety data from multiple projects, which can be used to improve models and benchmarks over time.
Hybrid
Structured SQL
Medium (Integration logic)
Data quality and consistency of safety records across job sites; potential latency/cost if using LLMs for narrative analysis at scale.
Early Adopters
Focused specifically on construction safety workflows rather than generic EHS analytics, likely combining structured incident data with AI-driven pattern detection and possibly natural-language analysis of safety reports.