Most buildings are managed with little to no visibility into how different spaces are truly used – by whom, when, and for how long. Without reliable occupancy data, decisions regarding workspace planning, energy allocation, and real estate investment are based on assumptions rather than evidence.
This challenge is critical for workplace strategy teams, real estate analysts, space planners, ESG professionals, and smart building architects in both new buildings and retrofits. From office towers and co-working hubs to public buildings, universities, and auditoriums, knowing how space is used is the first step toward using it better.
Sol-In uses proprietary, IP-based algorithms that analyze trends in CO₂ levels, time-based usage patterns, and behavioral modeling to infer real-time occupancy across rooms, zones, and entire floors. No cameras, no badges – just intelligent interpretation of environmental data.
The result: clear, actionable insights into how your spaces are being used. This enables better space planning, reduced energy waste, and more effective ESG reporting. Whether you’re optimizing cleaning schedules, rethinking office layouts, or justifying square footage, Sol-In delivers the data you need, without complexity or guesswork.
The Problem: Most buildings lack reliable data on where, when, and how spaces are actually used.
Segments: Office Towers, Co-working Spaces, Public Sector, Educational Institutions, Auditoriums, Public Facilities.
Sol-In’s Solution: Proprietary IP-based algorithms that infer real-time occupancy levels and patterns across zones and floors using CO2 trends, time-based modeling, and behavioral AI.
Why It Matters: Optimize space utilization, reduce energy waste, and improve workplace design with evidence-based insights.
For: New Buildings/Retrofit: Workplace Strategy Teams, Portfolio Managers, Smart Building Architects, ESG Analysts, Space Planners, Facilities Consultants, Real Estate Analysts.
