AI Lab Space Optimization
The Problem
“Lab space underutilization drives avoidable real estate costs”
Organizations face these key challenges:
1
Limited visibility into true lab utilization (benches, instruments, tissue culture rooms, cold rooms, write-up) leading to overbuilding and poor space allocation
2
High cost and risk of lab TI and reconfiguration, with frequent late-stage changes driven by inaccurate requirements and overlooked EHS/MEP constraints
3
Slow leasing and portfolio decisions due to static assumptions, inconsistent data sources, and inability to rapidly test multiple space/program scenarios
Impact When Solved
Reduce required lab footprint 10%–20% while maintaining compliance and throughputCut planning and re-stack timelines 50%–70% with faster scenario modeling and constraint-aware layout recommendationsIncrease NOI 2%–5% and improve lease-up speed 10%–25% through better product fit and data-driven TI scope