Imeropex provides a full‑dive virtual reality platform that lets schools, corporate security teams, and emergency‑management agencies run realistic crisis simulations. The system captures participant actions and physiological data, then applies the PEER™ analytics engine to produce risk scores, resource‑allocation forecasts, and actionable debrief reports. This data‑driven approach helps organizations identify vulnerabilities, optimize response plans, and reduce operational costs.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations responsible for safety and emergency response often rely on static tabletop exercises and ad‑hoc training, which provide limited insight into real‑world human behavior during crises. This leads to delayed decision‑making, sub‑optimal resource allocation, and higher operational risk when an incident occurs.
Solution
Imeropex delivers a proactive crisis‑preparedness platform that combines immersive full‑dive virtual reality (FDVU) simulations with a data‑science analytics engine called PEER™ (Persistent Environment for Experimentation and Rehearsal). Participants engage in realistic, scenario‑driven “pre‑mortems” that capture behavioral and performance data in real time. The collected data are processed through statistical and machine‑learning models to generate actionable risk‑identification reports, resource‑optimization recommendations, and performance dashboards. By exposing vulnerabilities before they materialize, clients can streamline coordination, shorten response times, and achieve measurable cost savings in their emergency‑management programs.
Target Audience
Primary customers are K‑12 school districts, corporate security teams, and public‑sector emergency‑management agencies that require data‑driven preparation for active‑shooter events, natural disasters, or other high‑impact incidents.
Features
- Full‑Dive Virtual Reality Unit (FDVU) hardware that provides high‑fidelity, 360° immersion for individual or team‑based crisis scenarios
- Scenario authoring toolkit allowing custom, client‑specific threat models and environmental variables
- Real‑time telemetry capture of participant actions, decision points, and physiological indicators
- PEER™ analytics pipeline that applies statistical rigor and predictive modeling to translate raw simulation data into risk scores, bottleneck analyses, and resource‑allocation forecasts
- Interactive web dashboard delivering heat‑maps, timeline visualizations, and drill‑down reports for senior decision makers
- API integration layer compatible with existing emergency‑management and incident‑command systems (e.g., NIMS, EOC platforms)
- Secure, HIPAA‑compliant data storage with role‑based access controls and end‑to‑end encryption
- Automated debrief generation and recommendation engine that highlights mitigation strategies and cost‑saving opportunities