Real Estate
Property runs on data scattered across a dozen disconnected systems: MLS feeds, CRMs, lease files, building sensors. We connect them into platforms that give brokers, owners, and tenants one source of truth they can actually rely on.
of corporate real-estate teams now run or plan AI pilots — yet only 5% have met most of their goals.
Source: JLL Global Real Estate Technology Survey, 2025are funding upgrades to legacy real-estate technology they say is holding results back.
Source: JLL Global Real Estate Technology Survey, 2025The problems specific to real estate
Not generic digital-transformation talking points. These are the failure points we see in real estate systems.
Syncing RESO/MLS listing data across portals in near-real-time
Deduplicating and normalizing listings across multiple MLS feeds
Consolidating fragmented lease, energy, and utilization data
Retiring legacy PMS/CRM systems without data loss or downtime
Concrete approaches, not slideware
RESO Web API integration layer with change-data-capture for incremental listing sync
Canonical property data model with entity resolution and de-duplication across sources
A unified CRE data platform feeding portfolio analytics and AI use cases
Compliance is a design input
We treat these as constraints to engineer against from day one — not paperwork to bolt on before launch.
Outcomes we hold ourselves to
- One trusted view of listings, leases, and portfolio performance
- Accessible, Fair-Housing-conscious digital experiences
- A clean data foundation that AI pilots can actually build on
Capabilities we apply here
Let us build what is next, together
Tell us about your goals and we will recommend a practical path forward.