For property managers evaluating security vendors, the calculus increasingly comes down to a single question: does the technology actually work, or is it AI bolted onto outdated infrastructure? Otto Ducey, a property manager at CBRE — the world's largest real estate services firm — has answered that question definitively for four Class A office buildings in San Diego's University City neighborhood, and is now extending the same approach to an industrial warehouse asset in Otay Mesa.
Ducey's assessment centers on a structural distinction he sees between Cloudastructure and its competitors: rather than layering artificial intelligence onto legacy camera systems, Cloudastructure's platform was engineered around AI from the outset. That architecture, he notes, translates directly into measurable advantages — not just in day-to-day usability, but in hard cost comparisons. Across multiple competitive RFPs pitting Cloudastructure against other video surveillance providers, pricing consistently favored Cloudastructure.
The impact extends beyond the balance sheet. At CBRE's office properties, proactive monitoring has curbed unauthorized activity near dumpster enclosures, addressing a real safety concern for custodial staff working after hours. For tenants in Class A office space, the calculation is simpler still: they don't weigh line-item security costs, they weigh whether the building feels safe — and Ducey credits Cloudastructure with delivering that assurance.
CBRE's decision to expand the platform into industrial warehouse space signals more than satisfaction with a single deployment. It reflects a broader shift among major commercial real estate operators toward remote guarding and AI-driven surveillance as a standard for both office and industrial risk management — one where security spend and security outcomes are no longer at odds.
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