HVAC systems often experience downtime and require reactive maintenance, leading to increased operational costs and tenant dissatisfaction. Traditional monitoring methods provide only periodic snapshots of equipment health, failing to detect subtle issues that can escalate into significant failures. This reactive approach results in unnecessary service calls, energy waste, and reduced equipment lifespan.

Thalo Labs offers HVAC Copilot, a hardware-first AI platform designed to transform HVAC operations. The system utilizes affordable, easy-to-install sensors that attach directly to HVAC equipment, providing continuous, real-time performance monitoring. Its AI engine analyzes this sensor data to proactively detect anomalies and potential issues, sending actionable alerts to building operators and service technicians. This enables predictive maintenance, reduces reactive service calls, and optimizes system performance, ultimately lowering operational costs and improving building efficiency.

Hardware-first AI platform for HVAC systems, providing continuous equipment monitoring.

Affordable, easy-install sensors that attach directly to HVAC components for granular data capture.

AI-driven anomaly detection and predictive maintenance capabilities.

Real-time alerts delivered via mobile app, SMS, or email for proactive issue resolution.

Enhanced onsite support for service technicians, providing diagnostic insights prior to site visits.

Cloud-based analytics for tracking performance trends and identifying energy savings opportunities.

Supports various building types including offices, multi-family residences, hospitality, life sciences, data centers, and government facilities.

Integrates with existing HVAC infrastructure to augment current monitoring capabilities.

The primary customers are building operators and facility managers responsible for HVAC system performance and maintenance, as well as HVAC service providers seeking to enhance their diagnostic and preventative maintenance offerings.