Edviro
Edviro provides an AI-powered facilities operations platform that autonomously detects building problems from utility data, BMS/BAS feeds, and maintenance logs, then drafts work orders for human approval before dispatch. The system verifies fixes against building data and real utility bills, measuring savings in plain language for business officials. It works as a standalone CMMS or integrates with existing systems across school districts, commercial real estate, and data centers.
- Clean Technology
- Artificial Intelligence
- Property Technology
- Energy
- AI Agents
- Internet of Things
- Enterprise Software
- Software Only
- Data & Analytics
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Facilities managers are overwhelmed by alarms, dashboards, and inefficiencies that require constant manual monitoring and intervention. Energy waste goes undetected until bills arrive, and problems reported by staff or systems often lack diagnosis, context, or verification, leading to delayed fixes and repeated failures across multiple sites.
Solution
Edviro provides an AI-powered facilities operations platform that autonomously finds and fixes building problems by converting signals from utility data, BMS/BAS, and maintenance logs into reviewed work orders. The system continuously learns each site's baseline, flags anomalies, diagnoses likely causes with evidence, and drafts work orders that a named human must approve before dispatch. Technicians receive assignments with asset history and step-by-step instructions on their phones, and after completion, Edviro verifies the fix against building data and real utility bills. The platform works as a standalone CMMS or integrates with existing systems, measuring and reporting verified savings in plain language for business officials.
Target Audience
Primary customers are facilities managers and maintenance teams in school districts, commercial real estate portfolios, and data center operators who need to reduce energy waste enforceably and manage work orders across multiple sites.
Features
- Vendor-agnostic data ingestion from BMS/BAS, utility meters, EPMS/PDU feeds, and maintenance logs without new hardware installation
- AI-native diagnostics that group related alarms into a short list of actionable problems with likely causes and attached evidence
- Physics-based models calibrated to each site's telemetry for "what-if" simulations such as cooling headroom, equipment failure impact, and setpoint changes
- Human-in-the-loop work order lifecycle: all dispatch, schedule, and setpoint changes require approval by a named person before action
- Post-fix verification that checks building data against the learned baseline and reopens orders if conditions return
- Native work orders, asset tagging with mobile nameplate scanning, inspection schedules, preventive maintenance, and capital planning that ranks retrofits by measured payback
- Occupancy-aware proposals for commercial real estate using WiFi controller data to recommend HVAC and lighting setbacks with meter-verified results
- Text, email, and app-based intake channels that turn staff requests into diagnosed work orders with evidence