12CU is designed to provide organizations with actionable insights into building occupancy, enabling smarter, more efficient, and sustainable use of real estate.

Key Features

1. Occupancy insights using existing WiFi

• Uses data from existing WiFi infrastructure
• Measures presence, occupancy and utilization, based on connected devices
• Ideal for universities and large multi-building organizations

Value: No additional hardware investment required, making implementation efficient and scalable.

2. Vendor-agnostic data integration

• Works with different WiFi vendors and infrastructures
• Extracts consistent, high-quality data regardless of source

Value: Flexibility to operate in diverse IT environments without vendor lock-in.

3. Person-based (not device-based) insights

• Converts device data into meaningful person counts
• Ensures data is anonymized and privacy-friendly
• Provides reliable occupancy insights instead of raw device metrics

Value: Accurate, privacy-compliant understanding of real occupancy.

4. Clear and accessible data presentation

• Presents insights in easy-to-understand dashboards and reports
• Designed for both technical and non-technical users

Value: Enables quick decision-making without requiring deep data expertise.

5. Role-based reporting (AI-driven)

• Generates reports tailored to specific roles (e.g., space manager, cleaning manager)
• Automatically highlights relevant insights without manual analysis
• Uses AI to interpret and summarize data

Value: Saves time and ensures each stakeholder sees only what matters to them.

Key Benefits

1. Optimized use of real estate

• Identify underutilized spaces
• Increase usage of existing buildings
• Reduce the need for expansion

Result: More efficient space planning and portfolio management

2. Cost savings

• Lower real estate requirements
• Reduced operational and maintenance costs
• Significant energy savings through better utilization

Result: Direct and measurable cost reduction

3. Data-driven decision making

• Compare planned vs. actual occupancy
• Identify usage patterns and trends
• Enable strategic planning based on real data

Result: Stronger, evidence-based decisions

4. Reduced workload for teams

• Eliminates manual data collection and analysis
• AI summarizes large datasets automatically
• Removes the need for extensive reporting efforts

Result: Teams can focus on action instead of analysis

5. Improved operational efficiency

• Quickly identify buildings or floors needing attention
• Support departments like cleaning and facility management

Result: Faster response and better operational control

6. Positive user adoption

• High customer engagement and interest
• Clear insights reveal new opportunities
• Drives adoption of data-driven working methods

Result: Long-term value and continuous improvement