New building management era dawns with IoT, AI, and BIM

The integration of IoT, AI, and BIM is redefining Building Management Systems (BMS), enabling Smarter, energy-efficient, and data-driven facilities. Platforms like 75F combine real-time sensor data, predictive analytics, and digital twin technology to optimise performance, improve sustainability, and future-proof existing and new buildings.

How has the integration of IoT and AI transformed the role of conventional Building Management Systems? Could you share a real example?

75F is revolutionising building management by integrating IoT and AI at its core, moving beyond the rigid, siloed nature of traditional Building Management Systems (BMS). While conventional systems rely on manual programming and lack adaptability, 75F’s data-driven, cloud-connected platform delivers intelligent, self-optimising performance. Its wireless IoT sensors provide real-time, granular data on temperature, occupancy, air quality, lighting, and equipment health across every zone. This data is analysed by the AI-powered Facilisight platform, which predicts trends and automatically adjusts systems to maximise comfort and energy efficiency. Unlike legacy BMS, 75F’s cloud-native architecture enables remote monitoring, centralised control, and seamless updates, ensuring optimal performance and security. Proactive analytics detect anomalies and forecast equipment failures before they occur, minimising downtime and maintenance costs. With a wireless, plug-and-play design, 75F allows for rapid, non-intrusive deployment in both new and existing buildings, empowering smarter, more efficient facilities with minimal disruption.

With 75F’s Smart building automation, Hiranandani Hospital improved indoor air quality, stabilised temperature control, and cut energy use by 5,54,388 kWh. The AI-driven system enabled remote monitoring, predictive maintenance, and seamless deployment, enhancing patient comfort and operational efficiency while supporting the hospital’s commitment to sustainability and continuous improvement.

What are the cybersecurity concerns in modern BMS, and how should they be tackled during design and deployment?

As modern Building Management Systems (BMS) evolve into highly connected, Internet of Things (IoT)- )-enabled platforms, cybersecurity has become a critical concern. While these systems bring enhanced efficiency and insight, they also increase exposure to risks such as unauthorised access, data breaches, and network attacks. 75F addresses these challenges by embedding comprehensive security measures throughout its product lifecycle. Its “secure by design” approach includes end-to-end encryption, unique device authentication, and firmware integrity protections, such as secure boot and signed updates. The system incorporates role-based access controls and network segmentation to limit exposure and ensure that only authorised personnel can interact with building systems. Continuous real-time monitoring and automated threat alerts enable rapid incident response, while alignment with cybersecurity standards such as ISO 27001 and NIST ensures industry compliance. Regular audits and penetration testing further strengthen system defences.

Additionally, 75F empowers its customers with cybersecurity training and maintains transparency through prompt updates and patches. By integrating robust cybersecurity at every layer—from hardware to cloud—75F ensures its smart building solutions are not only intelligent and efficient but also secure and resilient against evolving digital threats. This commitment to security fosters trust and reliability, which are essential for the widespread adoption of connected building technologies.

With energy efficiency becoming a top priority, how are Building Management System (BMS) platforms evolving to help buildings achieve net-zero or green certifications?

Building Management Systems (BMS) are rapidly evolving from basic automation tools into strategic platforms that support net-zero goals and green certifications such as LEED, WELL, and ENERGY STAR. Modern BMS platforms leverage AI and advanced data analytics for predictive controls, enabling proactive energy optimisation and continuous commissioning. They integrate with on-site renewable energy and storage systems, support demand response programs, and offer granular submetering for detailed energy insights. Cloud connectivity allows for remote management and portfolio-wide optimisation, while open protocols ensure seamless interoperability across systems. 75F exemplifies this evolution with its AI-driven platform that reduces energy consumption by up to 50%, automates compliance reporting, and enhances occupant engagement through intuitive interfaces. Its cloud-native design enables rapid deployment and real-time control, making it ideal for sustainable building operations. As a result, BMS platforms like 75F are becoming essential enablers of Smart, efficient, and environmentally responsible buildings.

How do we address the barriers to BIM adoption in existing buildings?

Building Information Modelling (BIM) offers benefits across the entire building lifecycle; however, legacy systems, fragmented data, outdated documentation, and high implementation costs often hinder its adoption in existing structures. 75F addresses these challenges with a comprehensive, retrofit-friendly approach that simplifies BIM integration and enhances its value for building owners. 75F’s wireless, IoT-based sensors and controllers allow for non-invasive deployment, digitising building operations without requiring Major infrastructure upgrades. The system seamlessly integrates with legacy equipment, making modernisation both efficient and cost-effective. By collecting real-time data on occupancy, temperature, and equipment performance, 75F enables the creation of accurate digital twins, even when original documentation is lacking. Its open APIs and support for standard protocols ensure compatibility with leading BIM platforms, while a unified data layer breaks down information silos, providing a single source of truth. The cloud-native architecture supports scalable, portfolio-wide deployment, reducing IT complexity and costs. With modular implementation, building owners can prioritise critical areas and expand over time. Additionally, 75F offers expert onboarding, training, and continuous support to maximise BIM utility. Through this integrated approach, 75F empowers existing buildings to transition into intelligent, data-driven environments aligned with modern BIM standards and sustainability goals.

How do you see the convergence of BIM and BMS improve operational efficiency?

The convergence of Building Information Modeling (BIM) and Building Management Systems (BMS) marks a significant advancement in Smart building operations. 75F bridges these two technologies, offering facility teams a unified, intelligent platform that enhances visibility, decision-making, and efficiency.

By integrating BIM’s digital twin capabilities with real-time data from the Building Management System (BMS), 75F creates a comprehensive view of building assets, systems, and performance metrics. This contextualized visualization allows facility managers to quickly identify issues, assess equipment status, and make informed operational decisions. Predictive maintenance is enabled by combining detailed asset data with live performance insights, allowing teams to address potential failures before they disrupt operations. Maintenance workflows can also be automated and tracked within the BIM environment for better accountability.

Energy efficiency is enhanced through continuous benchmarking against design parameters, while scenario modelling within the BIM interface helps simulate operational changes using real-time data. 75F’s platform also automates compliance reporting for certifications and audits, reducing administrative overhead.

As a cloud-based, open platform, 75F supports collaboration among owners, operators, and service providers while enabling seamless upgrades and adaptability over time. This integrated BIM-BMS approach future-proofs buildings, driving long-term gains in sustainability, performance, and lifecycle value.

Please elaborate on technologies like digital twins and edge computing for the combined use of BIM and BMS.

75F is leading the transformation of building operations through the convergence of Building Information Modeling (BIM) and Building Management Systems (BMS) powered by digital twins and edge computing. A digital twin—a dynamic, real-time virtual model of a building—integrates BIM’s spatial data with live BMS inputs, enabling facility managers to visualise building systems, predict outcomes, simulate operational changes, and manage maintenance proactively. The digital twin evolves with the building, reflecting updates, retrofits, and operational changes over time.

Edge computing enhances this platform by processing data locally at the source—on sensors and controllers—enabling ultra-low-latency responses for HVAC, lighting, and fault detection. It reduces bandwidth use, strengthens data security, and ensures seamless operations even during network interruptions. This architecture scales effortlessly across portfolios and distributed campuses.

Together, digital twins and edge computing form a unified ecosystem where real-time data drives continuous optimisation, strategic planning, and compliance. 75F’s integrated BIM-BMS platform empowers building owners with actionable insights and future-ready infrastructure, enabling Smarter, more sustainable building management.

How does BIM improve asset tracking, space utilisation, and predictive maintenance by linking 3D models to live BMS data in facility management?

75F’s integration of BIM with live BMS data revolutionises facility management by linking 3D digital models to real-time operational insights. This enables precise asset tracking with visual mapping and up-to-date status, enhancing lifecycle documentation. Occupancy data within the BIM model optimises space utilisation by identifying underused or overcrowded areas and allowing virtual layout simulations. Predictive maintenance is improved through condition monitoring and automated alerts tied directly to asset locations, enabling timely interventions that reduce downtime and extend equipment life. Together, these capabilities enhance operational efficiency, reduce costs, and enable smarter, data-driven decisions for sustainable, high-performing buildings.