Industries · Real Estate & REITs

AI for the firms that own and operate real estate.

Owners, operators, listed and non-listed REITs, REIT-services portcos. Every AI investment is judged on NOI per sqft, lease cycle compression, and CapEx delta, not generic productivity uplift. We speak the buyer's language because we work with the buyer's books.

Anchored to a bottom-up Global REIT Square-Footage Benchmark covering roughly 8B sqft and $3.2T market cap across the top 60 REITs globally. Sector-aggregate, public-safe.

Specific REIT engagements run under tight confidentiality. We don't name customers; we describe the patterns.

Definition

Real-estate AI is judged on NOI per sqft, not generic productivity. Owners, operators, and REITs underwrite AI investments against leasing speed, CapEx margin, predictive-maintenance avoidance, smart-building energy delta, parking yield, and ESG performance, measured per property, per quarter.

The economic frame

NOI per sqft. Not productivity.

A dollar invested in AI has to show up in leasing speed, CapEx margin, predictive-maintenance avoidance, smart-building energy delta, parking yield, or ESG performance, measured per property, per quarter. That ratio, not 'AI productivity', is the bar that survives an asset committee.

The frame

$1 invested in AI → measurable NOI delta within 24 months (leasing · CapEx · predictive maintenance · smart building · parking · ESG).

Sub-sectors

Sub-sectors we serve.

Sub-sectorBuyer profile
Office REITs (public and private)Asset manager, head of leasing, head of property ops.
Industrial / logistics REITsOperational-heavy; predictive maintenance and yield management leverage.
MultifamilyLeasing AI, resident-experience automation.
REIT operators / property managementCross-portfolio tooling.
BrokerageDeal-screening and underwriting assist.
Title / escrow / valuation techDocument AI, fraud detection.
Real-estate AI use cases

Six patterns. Two shipped, four illustrative.

Two patterns are flagged industry-anonymous shipped: no customer named, no engagement claimed. The remaining four describe what we're sized for. The data architecture and governance work that makes any of them measurable is the underlying engagement.

  • ✓ Shipped

    Leasing cost reduction

    Automating legal-fee review, broker-fee negotiation analysis, and TI optimization. Industry-anonymous; pattern shipped, customer not named.

  • ✓ Shipped

    CapEx optimization

    Procurement intelligence on vendor catalogs, rebate eligibility, and below-spec ordering patterns. Industry-anonymous; pattern shipped, customer not named.

  • ◎ Illustrative

    Predictive maintenance

    Early-warning indicators before HVAC, elevator, and life-safety equipment failures.

  • ◎ Illustrative

    Smart building + security

    AI cameras, occupancy patterns, energy optimization.

  • ◎ Illustrative

    Parking revenue optimization

    Dynamic pricing and occupancy maximization across the portfolio.

  • ◎ Illustrative

    ESG / energy performance reporting

    Automated data ingestion, GRESB submission readiness, and disclosure-pipeline output.

Global REIT benchmark

Anchored to ~8B sqft globally.

We maintain a bottom-up Global REIT Sqft Benchmark. ~8B sqft / ~$3.2T market cap across the top-60 REITs globally; ~5B sqft listed in the US, ~$4.5T including all-REIT (listed + non-listed). When we say 'we benchmark your sqft economics,' we mean against this dataset.

Engagement note

No named vignette by design.

We don't publish customer-specific vignettes on this page. Real-estate engagements run under tight confidentiality terms, and naming a customer publicly without explicit authorization isn't a habit we get into. The use cases above describe the patterns; the discovery call is where the customer-specific shape gets discussed.

How we sequence

Start with Audit. Sequence the workstreams.

One order, applied across the engagement. The AI Audit produces the operating read, then AI Transformation, AI Governance, and AI Fluency sequence per the customer's priority.

Sequence: sqft-anchored discovery; ESG / SR-aligned governance
  1. AI Audit
    See use, value, and risk.
  2. AI Transformation
    Ship value workflows.
  3. AI Governance
    Produce audit evidence.
  4. AI Fluency
    Raise role-level capability.
Next step

Start with an AI Audit baseline.

Discovery call. Calendar link within 60 seconds.

FAQ

Frequently asked.

Yes. Our methodology is sqft-anchored, not asset-class-locked. Industrial, multifamily, and retail are all in scope.

The evidence pipeline produces materials that map to the relevant disclosure regime. We don't replace your reporting team; we feed them.

We deploy methodology against agents. We're not a dev shop. The build can be done by your team, your existing partner, or jointly with us, anchored to the measurement layer.