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Industries
Real Estate
Real estate intelligence, from listing to tenancy.
Portfolio data platforms, broker and tenant experiences, and AI-driven valuation — engineered for owners, operators, and platforms that compound across cycles.
The case
Real estate
is a data business.
Owners and operators sit on enormous amounts of operational, transactional, and tenant data — most of it trapped in property-management systems that weren't designed for portfolio-level intelligence. The decisions that matter most — leasing strategy, capex, valuation — are made on instinct, not instrumentation.
We engineer the portfolio data spine — a unified estate of leases, assets, and tenants — and build the experiences and AI on top: leasing intelligence, tenant-facing platforms, and valuation models that compound across market cycles.
How we engineer for Real Estate
The capabilities
that compound here.
Data Lakehouse & Warehouse
A portfolio data spine — leases, assets, transactions, tenants — governed and ready for portfolio-level intelligence.
Advanced AI & Analytics
Leasing intelligence, valuation models, and tenant-mix analytics engineered around real estate operating rhythms.
Custom Software Development
Tenant portals, broker tools, and operations applications — modern, performant, and integrated with PMS.
Web Design & Development
Listing and brand experiences engineered for conversion — performant, accessible, and instrumented from day one.
Outcomes we engineer for
Numbers that move
at the operating level.
+19%
Lease-up velocity
−12%
Tenant churn
+8.4%
Asset valuation accuracy
−42%
Time-to-portfolio-insight
Common questions
What buyers
ask first.
Can you integrate with our PMS?
Yes. We engineer around Yardi, MRI, RealPage, and similar — surfacing portfolio-level intelligence the PMS isn't designed to provide.
How do you handle confidentiality?
Lease data, tenant data, and transaction data live under strict policy boundaries. Access is governed, lineage is queryable, and sharing across funds or JVs is policy-bound.
Do these models actually generalize across asset classes?
We design them to. Office, retail, industrial, and multifamily share data primitives — the models specialize on top of a common spine, not in silos.
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playbook applies.
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Let's frame the portfolio
Real estate intelligence,
engineered to compound.
Tell us where portfolio decisions are still made on instinct. We'll diagnose, frame, and propose a starting point that pays back inside a cycle.