Allen Yeung
Co-founder
I
IGC
IGC provides a data‑driven smart building platform called BuildingOS that enables cities and enterprises to plan, construct, operate, and service low‑carbon buildings. The platform integrates IoT, big data, and machine‑learning to deliver a unified building information lake, predictive maintenance, BIM‑based 3‑D visualization, and role‑specific dashboards, supporting both on‑premise and cloud deployments for single or multi‑building management.
- Artificial Intelligence
- Data & Analytics
- Clean Technology
- Enterprise Software
- Internet of Things
Updated 3 months ago
Funding
Funding rounds are not available yet.
Founders
Herbert Chia
Co-founder
Product
Problem
Urban building operators and city planners struggle to integrate disparate IoT devices, legacy systems, and BIM data into a unified platform, making it difficult to monitor performance, reduce energy use, and achieve low‑carbon targets across single or multiple facilities.
Solution
BuildingOS, IGC’s smart building software platform, aggregates data from sensors, building management systems, and BIM models into a secure, cloud‑or‑edge data lake. The platform provides real‑time dashboards, AI‑driven predictive maintenance, and energy‑optimization analytics that help operators anticipate equipment failures and lower consumption. BIM‑based 3D visualization and role‑specific views enable facility managers, tenants, and owners to interact with building data intuitively. By supporting both on‑premise and cloud deployments, BuildingOS scales from individual sites to entire smart‑city portfolios, delivering consistent carbon‑footprint tracking and operational efficiency.
Target Audience
Primary customers are property managers, building owners, and municipal smart‑city agencies responsible for operating single facilities or multi‑building campuses seeking data‑driven carbon reduction and operational efficiency.
Features
- Secure IoT connectivity with dynamic key encryption for reliable data transmission
- Centralized building information data lake for real‑time and historical analytics
- AI and machine‑learning powered predictive and preventive maintenance modules
- BIM‑based 3D digital twin visualization with navigation and customizable user roles
- Energy management tools that balance supply‑side and demand‑side profiles using ML algorithms
- API gateway and SDK for unified integration of diverse building systems and devices
- Tenant and asset lifecycle management integrated with BIM data