Pascal offers an AI‑driven platform that creates a digital twin of commercial properties and uses image recognition to identify maintenance issues from photos. It instantly provides itemized quotes, schedules vetted technicians, and tracks work in real time, giving property owners and managers a transparent, end‑to‑end maintenance workflow.
Funding
Funding not disclosed
Founders
Product
Problem
Building owners and managers often face inefficient maintenance processes: lack of centralized asset information, delayed issue reporting, unclear pricing, and coordination challenges with multiple service providers.
Solution
Pascal provides an AI‑driven platform that creates a digital twin of each property, mapping all systems such as plumbing, electrical, HVAC, and more. Users can submit a photo of an issue, which the AI instantly matches to the building’s documented components and generates an itemized, upfront quote. Vetted technicians are scheduled and dispatched on a set timeline, while the work’s progress is tracked in real time through the platform. This end‑to‑end workflow eliminates back‑and‑forth communication, reduces hidden costs, and ensures consistent, documented outcomes for every maintenance task.
Target Audience
Pascal is aimed at commercial property owners, facilities managers, and property management firms that need reliable, on‑demand maintenance and repair services across multiple building systems.
Features
- AI-powered image recognition that cross‑references photos with the property’s digital twin for instant issue identification
- Automatic generation of transparent, itemized pricing before any work begins
- Integrated scheduling and dispatch of pre‑vetted, qualified technicians
- Real‑time work progress tracking and status updates within the platform
- Comprehensive mapping of all building systems (plumbing, electrical, HVAC, landscaping, etc.) for holistic asset awareness
- Historical maintenance log that builds over time, reducing repeat explanations and improving service efficiency