INDUSTRY · PROPTECH
600 MLSs, one canonical listing. AVMs trained on 5M transactions with confidence bands attached.
MLS ingestion, automated valuation models with confidence bands, and transaction workflow engines that track every stage and satisfy title company audit requirements.
WHY
Real estate data is fragmented across MLS feeds, public records, county assessors, and permit databases. We built ingestion pipelines that normalize heterogeneous property data from 50+ sources into a unified schema. Deduplication, address standardization, and parcel matching are not trivial at scale.
Automated valuation models require fresh comparables, hyperlocal feature sets, and confidence intervals that agents can explain to clients. We've built AVM pipelines that train on 5M+ transaction records, refresh daily on new sales data, and expose confidence bands alongside point estimates. The output is defensible, not just a number.
Transaction management in real estate touches documents, timelines, counterparties, and compliance deadlines simultaneously. We build workflow engines that track every stage, trigger automated reminders, and produce the audit trail that title companies and regulators require.
WHAT WE BUILD
Relevant capabilities
CAPABILITY · 01
Data Engineering
MLS ingestion, public records normalization, address standardization, and multi-source property data warehouses.
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CAPABILITY · 02
AI & Machine Learning
Automated valuation models, investment scoring, rental yield prediction, and neighborhood classification.
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CAPABILITY · 03
Custom Platforms
Listing search platforms, investor dashboards, and transaction management portals.
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CAPABILITY · 04
Algorithms & Optimization
Comparable selection algorithms, cap rate modeling, and portfolio optimization for property assets.
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CAPABILITY · 05
Automation & Integration
Document generation, closing workflow automation, and escrow system integrations.
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CAPABILITY · 06
Web & Mobile Applications
Map-based search interfaces, property detail pages, and mobile-first listing experiences.
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DATA NORMALIZATION
MLS data normalization pipeline
There is no single MLS. There are 600+ regional MLSs with overlapping coverage, inconsistent field names, and conflicting facts about the same listing. Our reconciliation pipeline pulls RESO-compliant feeds where available and screen-scrapes the legacy ones. Address standardization runs USPS CASS plus parcel-ID match against county assessor data. A listing seen in two MLSs gets merged on a composite key (parcel ID + street address hash + listing date window). Conflict resolution uses a source-trust ranking with field-level overrides: list price trusts the most recent update, square footage trusts the assessor, photos trust the most recent feed. Deduplication runs incrementally with a watermark per source so a feed outage does not blow up the master record. Output: one canonical listing per property with full source lineage so the agent can answer 'where did that number come from?'.
SAMPLE WORK
What we've shipped
Property data pipeline normalizing 50+ MLS and public record sources into a unified schema with address deduplication.
AVM trained on 5M+ transactions producing price estimates with confidence bands and daily refresh on new sales.
Investor deal-scoring platform that ranked 200K+ off-market properties by projected return and risk tier.
Transaction workflow engine tracking 30+ stages per deal with automated reminders and audit trail generation.
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