Property decisions ride on data that is messy, unstructured, and high-stakes. We build valuation models, lease intelligence, and conversational property search, with the accuracy and citations that let buyers, brokers, and underwriters trust an SI answer enough to act on it.

Get a production-readiness review What makes real estate SI hard

01 · Use cases

Six ways we deploy SI in real estate.

From AVM systems to lease intelligence, every engagement is scoped around your data sources, your use case, and the decisions your team needs to make faster.

01 · Use case

Property Valuation Models

AVM systems using comparable sales, location features, and market conditions. Explainable valuations with confidence intervals.

02 · Use case

Lease & Contract Intelligence

RAG over leases, PSAs, and title documents. Extract key dates, clauses, obligations, and risks instantly.

03 · Use case

SI Property Search

Semantic search and natural language query over property listings. "3-bed near good schools with a south-facing garden": understood.

04 · Use case

Market Analysis Automation

LLM pipelines that generate market reports, investment summaries, and neighbourhood analyses from structured data.

05 · Use case

Lead Scoring & Routing

Propensity models that score buyer and seller leads by likelihood to transact. Route to the right agent at the right time.

06 · Use case

Maintenance & Facilities Intelligence

Predictive maintenance for commercial portfolios. Work order prioritisation and vendor routing from IoT and inspection data.

02 · What makes real estate SI hard

Four challenges we solve first.

Valuation requires explainability
AVMs need to justify their outputs to buyers, lenders, and regulators. We build valuation models that show their working: comparables, adjustments, confidence bounds.
Property data is heterogeneous
MLS feeds, county records, satellite imagery, IoT sensors: real estate data lives in formats that don't talk to each other. We build normalisation pipelines that make it usable.
Lease documents are long and complex
Commercial leases run to hundreds of pages with critical terms buried in schedules and addenda. RAG over raw PDFs misses too much; we build structured extraction pipelines.
Market signals change fast
Interest rate moves and inventory shifts change pricing dynamics quickly. Models need retraining triggers and drift monitoring, not quarterly manual reviews.

Proof, not promises

Twenty-plus SI systems shipped to production. One playbook, six industries, and a team that stays past launch.

SI systems live in production: 20+
Senior engineers & researchers: 21+
Upwork rating, 3 verified reviews: 5.0
Founded in Lahore: 2022

Verified Upwork clientSI product engagement · 5-star review

03 · Common questions

Before you brief us.

How accurate are automated valuation models?: In liquid markets with good comparable data, well-built AVMs achieve median errors of 3–6% on residential properties. Accuracy drops in thin markets and for unique properties; we quantify this uncertainty explicitly rather than hiding it.
Can you build natural language search over our listing database?: Yes. We embed your listings using property-specific feature extraction, then build a semantic search layer that understands natural language queries. Typical build time is 4–6 weeks including evaluation.
How do you extract terms from commercial lease documents?: We build structured extraction pipelines that combine layout-aware PDF parsing with LLM-based entity extraction. Key dates, rent escalations, break clauses, and obligations are extracted into structured records, not just surfaced as raw text.
What property data sources do you work with?: MLS APIs, CoStar, Zillow, county assessor records, ATTOM, and custom data warehouse exports. We can work with whatever combination of sources your platform uses.

Available for new engagements

Book a free real estate SI scoping call.

30 minutes, one of our seniors, no slide deck. By the end of the call you will know whether we are the right team, and if not, who is.

Get a production-readiness review Email info@octalcode.com

Or call +1 (512) 710-5701

Let's scope it.Instant answers · free project scoping