Thermolio aggregates building automation, maintenance, and financial data into a searchable timeline and uses AI to suggest schedule optimizations, energy‑saving setpoints, and preventive actions. Facility teams can approve recommendations with one click, automatically updating BMS and CMMS while maintaining an audit trail, helping reduce energy costs and equipment downtime.
Funding
Funding not disclosed
Founders
Product
Problem
Building operators often manage HVAC and other building systems using fragmented data sources such as separate maintenance logs, control point records, and equipment inventories. This siloed information leads to inefficient scheduling, higher energy consumption, and delayed detection of equipment failures.
Solution
Thermolio consolidates all building‑related data—including BAS points, CMMS work orders, invoices, and field reports—into a single searchable asset timeline, creating a unified source of truth. An AI engine analyzes the integrated data to generate daily recommendations for schedule optimization, energy savings, and early fault detection. Users can approve suggested actions with a single click, triggering automatic updates to both BMS and CMMS while preserving a complete audit trail. The platform continuously learns from executed actions and outcomes, refining its recommendations and improving long‑term maintenance planning and capital‑expenditure forecasts. By turning scattered data into actionable insights, Thermolio helps facilities reduce energy bills, minimize downtime, and focus staff on higher‑value tasks.
Target Audience
Primary customers are facilities managers, building engineers, and operations teams responsible for HVAC and building automation in commercial, institutional, and multi‑site property portfolios.
Features
- Unified data library that stitches BAS points, CMMS orders, invoices, and QR‑tagged field reports into a searchable timeline
- AI‑driven recommendation engine that proposes optimized schedules, setpoint adjustments, and preventive maintenance actions
- One‑click approval workflow that pushes approved changes directly to building management and maintenance systems with full audit logging
- Continuous feedback loop where each action and result refines the AI models for better future recommendations
- Cloud‑based analytics platform delivering real‑time dashboards and alerts for energy performance and equipment health
- Integration capabilities with existing BMS and CMMS platforms via standard APIs