Flair provides a multi‑site building management platform that adds LoRaWAN IoT sensors and cloud‑based AI analytics to existing HVAC, lighting, cold‑chain and energy systems without replacing equipment. The solution delivers real‑time monitoring, predictive control, demand‑response scheduling and automated ESG reporting, helping hospitals and other facilities cut energy use, avoid peak‑tariff charges and maintain regulatory compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Hospitals and multi‑site facilities often rely on legacy Building Management Systems (BMS) that require costly hardware upgrades, provide limited real‑time visibility, and operate with static setpoints that waste energy and increase carbon emissions. Maintenance is typically reactive, leading to equipment failures, inventory loss, and higher operational costs.
Solution
Flair offers a multi‑site BMS platform that overlays IoT sensors and AI-driven analytics onto existing HVAC, lighting, cold‑chain, and energy infrastructure without replacing equipment. A LoRaWAN sensor network is installed in under 48 hours, delivering wireless, long‑range data on temperature, energy use, and equipment status. Cloud‑based AI models ingest occupancy, thermal load, and external climate data to predict demand and automatically adjust setpoints, pre‑cooling during low‑cost periods and shedding non‑critical loads during peak tariffs. The system generates unified ESG reports, real‑time alerts, and demand‑response scheduling, enabling facilities to reduce energy consumption, avoid peak charges, and maintain regulatory compliance for food safety.
Target Audience
Primary customers are hospital operators, healthcare campus managers, and multi‑site facility managers who need to modernize energy and equipment management while preserving existing infrastructure.
Features
- LoRaWAN wireless sensor network with sub‑GHz radio, 3–5 year battery life, and no additional cabling
- Modbus‑LoRaWAN energy meters for circuit‑level sub‑metering of legacy equipment
- AI‑based predictive control that anticipates thermal load and optimizes HVAC operation for cost and comfort
- Automated demand‑response and peak‑shaving scheduling aligned with tariff windows
- Intelligent lighting control using occupancy detection and natural light integration, reducing lighting energy up to 60 %
- Continuous cold‑chain monitoring with HACCP‑compliant alerts and automated temperature excursion reporting
- Retrofit adapters for BACnet, Modbus, MQTT, and REST APIs to integrate existing sensors and controllers
- Scheduled PDF/CSV reporting and customizable alerts via email, SMS, or webhook