309 Technology provides a cloud‑native platform that aggregates real‑time HVAC sensor data, uses machine‑learning to predict component wear, and continuously optimizes temperature set‑points for energy efficiency. The system integrates with existing building management systems via open APIs and delivers a role‑based dashboard with energy usage, fault alerts, and performance trends, helping commercial contractors and facilities managers reduce downtime and operating costs.
Funding
Funding not disclosed
Founders
Product
Problem
HVAC operators and building managers often rely on manual schedules and fragmented sensor data, leading to suboptimal climate control, higher energy consumption, and unexpected equipment failures. Limited visibility into system performance hampers preventive maintenance and reduces overall operational efficiency.
Solution
309 Technology delivers a cloud‑native platform that aggregates real‑time telemetry from HVAC equipment, applies machine‑learning models to predict component wear, and generates actionable recommendations for temperature set‑point optimization. The system integrates with existing building management systems (BMS) via open APIs, enabling automated adjustments without manual intervention. Users access a unified dashboard that visualizes energy usage, fault alerts, and performance trends, supporting data‑driven decision making. The architecture is designed to scale from single‑site installations to enterprise‑wide deployments, ensuring consistent performance as the portfolio grows.
Target Audience
The primary customers are commercial HVAC service contractors, property‑management firms, and facilities engineers responsible for multi‑site building portfolios seeking to improve efficiency and reliability.
Features
- IoT gateway that securely streams sensor data (temperature, pressure, vibration) from diverse HVAC units to the cloud in real time
- Predictive maintenance engine using supervised learning to forecast failure windows with 85%+ accuracy, reducing unplanned downtime
- Adaptive control algorithms that continuously fine‑tune set‑points for optimal energy efficiency while maintaining occupant comfort
- Role‑based web portal with customizable KPI widgets, heat‑maps, and automated report scheduling for facilities teams
- RESTful and OPC‑UA compliant APIs for seamless integration with legacy BMS, ERP, and energy‑management platforms
- Edge‑computing option for on‑site preprocessing, minimizing bandwidth usage and ensuring low‑latency response in remote locations
- End‑to‑end encryption and ISO‑27001 aligned security controls to protect operational data