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Build

The data infrastructure
institutional CRE runs on.

Cloud data warehouse, ETL pipelines, CRE ontology, and governance. Deployed inside your Microsoft Azure tenant. The layer your Excel models, Power BI dashboards, and AI agents all run on.

All Services

System Architecture

Your Tools

Yardi

PM System

CoStar

Market Data

AppFolio

PM System

ESRI

Demographics

Cloud Data Warehouse

Unified Layer

Ingest
Transform
Store
Govern

Outputs

Data Warehouse

Queryable

API Layer

Downstream Apps

Data Models

Normalized

AI & Agents

Automated

Data refreshes daily

Single Source

Of Truth

5+

Systems Integrated

Daily Refresh

On All Data

Full Governance

RBAC + Audit Trail

This stands up the layer. AI workflows running on top every day? Operate. Forward-deployed engineers shipping new capability every quarter? Scale.

Connect

Every System. One Pipeline.

Your PM system, market feeds, deal tools, and internal spreadsheets, all flowing into one queryable warehouse, refreshed daily.

  • Pre-built connectors for Yardi, MRI, AppFolio, CoStar, ESRI, and Entrata
  • Custom API connectors for any additional source in your stack
  • Automated daily ingestion with monitoring and failure alerts
ETL Pipeline: Daily Sync6:00 AM
Pipeline Progress67%
4 of 6 stagesRunning...

Yardi Voyager connected

6:00 AM

12,481 records pulled: rent rolls, GL, and unit data

12,481 rows

CoStar market feed synced

6:01 AM

8,320 comp records matched to 4 submarkets

8,320 rows

AppFolio data ingested

6:02 AM

6,104 records: leases, charges, and tenant history

6,104 rows

Schema validated & transformed

...

All tables passed null checks, deduplication, and type casting

26,905 rows

Warehouse loaded

Gold-layer tables updated: dim_property, fact_financials, fact_rent_roll

Downstream consumers notified

Power BI, Excel models, and AI agents refreshing from new data

Govern

Always Current. Fully Governed.

Every number has a lineage. Role-based access, data quality checks, and a complete audit trail, so your team trusts what they see.

  • Role-based access control: portfolio managers, analysts, and investors each see what they should
  • Data quality validation on every refresh, so bad data gets flagged before it reaches a report
  • Full audit trail: who changed what, when, and why, traceable to the source record
Data GovernanceValidation & Audit
Running validation checks...

Schema validation

All tables

42 tables checked

Null detection

fact_financials

0 nulls in required fields

Range validation

fact_rent_roll

3 outliers flagged

Freshness check

dim_market_comps

All within 24h threshold

Duplicate detection

stg_internal

0 duplicates found

Referential integrity

dim_property → fact_*

All foreign keys valid

Enable

The Layer Everything Runs On.

Your Excel models, Power BI dashboards, AI agents, and investor reports all pull from the same governed source. No manual data pulls. No version conflicts.

  • Excel models query live comps, rent rolls, and financials directly from the warehouse
  • Power BI dashboards refresh automatically (portfolio KPIs, NOI variance, investor views)
  • AI agents and automated reports run on the same data your team uses every day
Downstream MonitorLive Queries
Live: 4 consumers connected
Queries today:2,412
Excel Models
340/day

Cypress Creek acquisition model pulling live rent comps

Power BI
1,200/day
AI Agents
860/day
Investor Reports
120/day
Live Query Feed
Live

Power BI

just now

Querying fact_financials from warehouse

Excel Model

2s ago

Querying dim_market_comps from warehouse

AI Agent

5s ago

Querying fact_rent_roll from warehouse

Power BI

8s ago

Querying portfolio_kpis from warehouse

Excel Model

12s ago

Querying fact_demographics from warehouse

How We Deliver

1

Discovery & Architecture

Audit your stack, define the data model, and design the warehouse architecture.

2

Build & Connect

Provision infrastructure, build ETL pipelines, and connect your source systems.

3

Test & Deploy

Data validation, governance setup, and team handoff.

Every AI tool, model, and dashboard needs a data layer to run on. This is it.

Walk us through your stack. We scope the build, timeline, and cost before any work begins.