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75F is a building automation technology company that designs, manufactures, and operates an Internet of Things (IoT) based Building Management System (BMS) for commercial buildings. The company was founded in 2012 by Deepinder Singh and Pankaj Chawla, originally in Mankato, Minnesota, before relocating through Burnsville and eventually to its current headquarters in Bloomington, Minnesota.
75F’s core offering is a vertically integrated system combining wireless sensors, thermostats, zone controllers, and cloud-based software to manage HVAC, lighting, and indoor air quality in a single platform. The system is designed to be deployed as an out-of-the-box solution rather than requiring extensive custom integration, targeting both retrofit projects in existing buildings and new construction.
The company operates a cloud-native software ecosystem called Novus ES, which includes SOC 2 compliance and Vulnerability Assessment and Penetration Testing (VAPT) certification for its connected building systems. In 2023, 75F launched Saffron AI, an artificial intelligence platform trained on real-time and historical building systems data, intended to let facilities staff interact conversationally with building management functions.
75F maintains operations in the United States and India, with a registered India entity, 75F Smart Innovations India Pvt. Ltd., operating from Bangalore. The company has reported over 1,800 installations across nine countries, serving sectors that include offices, retail, education, hospitality, and healthcare facilities.
SDG 7 (Affordable and Clean Energy) is directly supported because 75F’s core function is reducing HVAC energy consumption in commercial buildings through automated, sensor-driven controls. SDG 9 (Industry, Innovation and Infrastructure) applies because the company develops IoT hardware, cloud software, and AI-based analytics as an innovation-driven infrastructure product for the built environment sector. SDG 11 (Sustainable Cities and Communities) is relevant because building automation systems contribute to making commercial building stock in cities more energy-efficient and resource-conscious over time. SDG 13 (Climate Action) is supported through the direct reduction of building-related energy use and associated greenhouse gas emissions. SDG 3 (Good Health and Well-Being) applies because 75F’s platform includes indoor air quality monitoring and management features intended to support occupant health in commercial and healthcare environments.
75F delivers its solution through a vertically integrated hardware and software stack designed to work without extensive third-party integration. The hardware layer consists of wireless sensors, thermostats, and equipment controllers that collect real-time data on temperature, occupancy, air quality, and equipment performance across a building.
This data feeds into the company’s cloud-native software ecosystem, Novus ES, which applies machine learning and predictive analytics to automate HVAC, lighting, and airflow decisions. The approach, described by the company as continuous commissioning, adjusts building operations dynamically using sensor data, weather forecasts, and occupancy schedules rather than relying on static, pre-programmed settings.
The Saffron AI platform, launched in 2023, is trained on real-time and historical building systems data and references industry standards such as ASHRAE Guideline 36 for HVAC control sequencing. The company’s HyperStat thermostats are built to be Haystack-native and BACnet-compliant, which are recognized data-tagging and communication protocols used in building automation to support interoperability with third-party systems. Novus ES also incorporates SOC 2 compliance and VAPT certification, reflecting a security-focused approach to managing connected building infrastructure. The company positions its deployment model around reducing on-site integration work through pre-configured, cloud-managed hardware.
75F operates in the commercial building automation and HVAC controls market, positioning its solution as a lower-cost, faster-to-deploy alternative to traditional building management systems for light commercial buildings, a segment the company states lacks smart technology adoption. Its customers span offices, retail chains, school districts, municipalities, warehouses, and healthcare facilities, with a business model that includes both direct sales and channel partnerships with Energy Service Companies (ESCOs) and property developers. The company operates in a competitive landscape that includes established building automation and energy management providers. Its differentiation centers on combining proprietary hardware and cloud software into a single vertically integrated system rather than requiring building owners to assemble components from multiple vendors.
75F occupies a notable position in the building automation sector by combining proprietary IoT hardware with cloud-based software into a single deployable system, targeting a segment of commercial buildings that has historically been underserved by more expensive, custom-integrated building management systems. Its growth trajectory, including a $45 million Series B round in 2025 backed by strategic industry investors such as Carrier and Siemens, alongside climate-focused funds like Breakthrough Energy Ventures, points to continued market confidence in vertically integrated, retrofit-friendly building automation.
The company’s expansion into AI-driven building management through Saffron AI, and its investment in cybersecurity through SOC 2 compliance and VAPT certification via Novus ES, reflect a response to two converging trends in the sector: growing demand for AI-assisted facility operations and increasing scrutiny of cybersecurity in connected infrastructure. Its dual US-India operating base also supports delivery across both mature and emerging commercial real estate markets.
As with most building automation vendors, the realized energy and cost savings for any given deployment depend heavily on building type, climate, and existing equipment condition, and procurement teams should independently verify performance claims against site-specific data before committing to large-scale rollouts.
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