Valuation engines, tenant analytics, and building intelligence. AI that scales across portfolios.
We build the systems that turn property data into investment and operational decisions.
Real estate decisions, from pricing and leasing to maintenance and investment, depend on data that's scattered across property managers, brokers, and building systems. We build AI-powered valuation models, tenant analytics platforms, and building management intelligence.
Why AI in Real Estate is different.
Real estate is a $280 trillion asset class still run largely on spreadsheets, gut feel, and manual comps. Commercial real estate firms spend an average of 2-3 weeks on due diligence per deal, pulling data from 10+ disconnected sources. In a market where speed determines who wins the bid, that delay is expensive.
AI-powered valuation models now achieve accuracy within 3-5% of appraised value on residential properties, updated daily instead of quarterly. Dynamic rent pricing algorithms are capturing 3-7% more revenue that fixed-rate approaches leave on the table. Predictive maintenance on building systems is cutting OPEX by double digits.
The opportunity is not just in transactions. It is in operations. Building management systems generate constant data from HVAC, elevators, energy meters, and access controls. Most of that data is ignored. The firms connecting it into a unified intelligence layer are running more profitable portfolios with less staff.
The Problems That Slow You Down
Valuations based on comps, not complete data
Appraisals rely on a handful of comparable sales. Market conditions, neighborhood trends, and building-level data aren't factored in.
Tenant management by spreadsheet
Lease dates, maintenance requests, communication history, tracked in Excel by property managers juggling 50+ units.
Building operations are reactive, not predictive
HVAC fails, then gets fixed. Elevators break, then get serviced. Energy costs spike, then someone investigates.
Investment analysis takes weeks
Due diligence on a new property means manual data gathering from 10+ sources. Deals move faster than your analysis.
Systems for PropTech
AI Valuation Models
Pricing models that factor in comps, market trends, neighborhood data, and building-specific attributes, updated daily, not quarterly.
View service →Tenant Management Platforms
Lease tracking, maintenance requests, communication, and payment portals, one platform for property managers and tenants.
View service →Building Intelligence
IoT sensor data from HVAC, elevators, and energy systems for predictive maintenance, usage optimization, and cost reduction.
View service →Investment Analytics
Automated due diligence: pull property data, market data, and financial projections into a single analysis dashboard.
View service →These aren't pitch deck scenarios. Every use case maps to a system pattern we've built and deployed in production.
What We Build in PropTech
AI Valuation & Rental Yield Engine
Head of InvestmentsUnderwriting deals takes days; valuations miss micro-local drivers (schools, transit, noise).
Gradient-boosted AVM on transactions, property features, geospatial layers, macro indicators, with API to underwriting/BI.
Dynamic Rent Pricing
VP Revenue ManagementManual comp checks; rents updated infrequently, 3-7% revenue left on table.
Time-series + gradient boosting on occupancy, lease expiries, comps, events, delivering real-time recs into PMS/Yardi.
Portfolio Underwriting Copilot
Head of AcquisitionsAnalysts spend weeks pulling leases, rent rolls, OPEX, legal docs; speed decides competitive bids.
LLM+RAG ingests rent rolls, T-12s, leases, OMs, then extracts assumptions, flags risks, and populates templates with scenarios.
Lease Abstraction Agent
General CounselThousands of leases; legal teams manually abstract terms. Slow and error-prone.
LLM parses PDFs, pulls structured fields (rent, step-ups, CAM, options), summarizes obligations, natural-language portfolio queries.
Predictive Maintenance Engine
Head of Property OperationsReactive HVAC/elevator maintenance; unplanned outages, higher OPEX, unhappy tenants.
Time-series on BMS/IoT sensors + work-order history, flagging likely failures and auto-generating work orders in CMMS/PMS.
Lead Qualification & Touring Agent
VP LeasingLeasing teams flooded with low-intent leads; slow response, high CAC.
Multi-channel LLM agent scores intent, schedules tours via calendar, hands off warm leads to humans.
Tenant Service Copilot
Head of Property ManagementTenants log issues via email/phone; manual triage, slow resolution for large portfolios.
LLM classifies requests, triggers work orders, answers FAQs, provides status updates, integrated with PMS/CMMS.
Energy Optimization
Head of SustainabilityStatic BMS configs; rising energy costs, ESG reporting pressure.
ML on consumption, weather, occupancy, tariffs, producing dynamic setpoints, schedules, and retrofit recommendations.
Building the system is half the job. Growing the business around it is the other half.
How We Grow PropTech Brands
AEO for Property Tool Queries
Growth Marketing DirectorProptech loses 47% of "best CRM for realtors" to ChatGPT; zero-clicks cut trials 31%.
Schema tool comparisons, agent FAQs, Perplexity tracking to onboarding flows.
LinkedIn Ads for Broker Tools
Demand Gen LeadLinkedIn CPL $70-110 for CRE software; under 10% demo.
Broker targeting, webinars, HubSpot nurture/scoring.
HubSpot Lead Scoring for Listings
Marketing Ops Manager2K agent leads/quarter; 64% unqualified.
HubSpot scoring (property searches), sequences, MLS sync.
How We Work With PropTech
Machine Learning Solutions
Prediction systems that run 24/7. Not proof-of-concepts gathering dust.
Learn more →Platform Engineering
SaaS architecture, internal tools, API ecosystems: built for what comes after the MVP.
Learn more →Data Engineering & Analytics
Your data is scattered across 15 tools. We wire it into one system that answers questions.
Learn more →Mobile App Development
iOS, Android, and web applications, shipped fast, built to last.
Learn more →Frequently asked questions
Within 3-5% of appraised value on most residential properties. Commercial properties require more property-specific factors but still outperform manual comps.
Yes. Tenant portals for maintenance requests, rent payments, lease documents, and direct communication. Reduces property manager workload by 30-40%.
BACnet, Modbus, and modern IoT protocols. We connect to HVAC, lighting, access control, and energy metering systems.
AI moves fast. Stay ahead.
No spam. One actionable email per week on AI systems and growth.
Your portfolio generates data every second. We turn it into decisions.
Start with a portfolio data audit. We'll identify where AI and automation create the most value across your properties.