Elevator System
Machine, controller, brake, doors, safety devices, equipment signals.
Independent monitoring. Deterministic diagnostics. AI-assisted troubleshooting.
Vertical Intelligence™ transforms elevator equipment signals into actionable supervisory intelligence—helping technicians understand what happened, why it happened, and where to investigate next.
The platform combines deterministic industrial monitoring with technician-facing diagnostic intelligence while remaining independent of code-required elevator safety functions.
Brake Safety is the beginning. The platform is built to expand.
Vertical Intelligence Systems LLC is a New York technology company founded by Michael Roth, a licensed elevator mechanic, to develop supervisory and diagnostic technology for vertical transportation.
Machine, controller, brake, doors, safety devices, equipment signals.
Collect · Normalize · Analyze · Diagnose · Visualize
Brake Safety · UCM Protection · Door & Safety · Equipment Health
Structured evidence into technician-facing diagnostic intelligence.
Understand · Investigate · Resolve
Vertical Intelligence creates a common supervisory foundation for multiple elevator diagnostic applications. Instead of adding disconnected monitoring devices for every problem, the platform is designed to normalize equipment information into a common diagnostic environment.
Supervisory brake monitoring and abnormal-condition detection.
Detection, validation and protective response for unintended car motion, with event evidence preserved for diagnostics.
Supervisory interpretation of door, gate, lock and equipment-state information.
Operating history, event patterns and equipment-condition intelligence.
Automated interpretation of deterministic equipment evidence into structured diagnostic events.
Visualization, reporting and supervisory information architecture.
Technician-facing diagnostic intelligence designed to explain equipment events in understandable language.
AI does not decide whether an elevator is safe to run.
Vertical Intelligence uses deterministic industrial logic for equipment supervision and event generation. AI can then work with that structured evidence to help a technician understand what happened, why it was detected, what area should be investigated, and what information is relevant to the diagnosis.
Independent supervisory brake monitoring and diagnostics.
Development of unintended-car-motion detection and protective response alongside expanded door, lock and equipment-state intelligence.
Operating patterns, event history and condition-based diagnostics.
Using accumulated equipment evidence to support maintenance planning and early investigation.
Technology partnerships, product development, field evaluation and commercial inquiries.