Data center operators and real estate developers must commit to costly, long-term sites based largely on static or outdated network latency estimations.

As digital services proliferate, any mismatch between projected latency and real-world conditions erodes competitive advantage, impacts service quality, and can lock in technical debt for years.

The tension: act fast to capture growing demand, or risk significant underperformance and customer churn due to unforeseen network realities.

There is a lack of holistic and predictive tools that integrate real-time network analysis, long-term traffic forecasts, and regional connectivity shifts into the real estate acquisition process for data centers.

Existing approaches rely heavily on carrier maps, public data, or simple distance calculations—missing the nuanced, dynamic nature of real-world latency.