PropTech AI engineering
AI Solutions for Real Estate & PropTech
- Built on PropTexx, Finance Lobby and Reath AI projects
- Deployed in your AWS, GCP or Azure
- You own the IP
Drag the handle to compare before and after staging. Sample data.
Where the time goes
Real estate still runs on PDFs, photos and spreadsheets
Most property data arrives unstructured. Teams read it by hand before they can price a deal, publish a listing or plan a renovation. That work is what we automate.
- Lease abstraction
Lease and document review
Asset managers spend days pulling terms from leases, rent rolls and deeds. Document AI extracts them with 95%+ field-level accuracy on typical documents. - OM parsing
Underwriting bottlenecks
Rebuilding comps and cash flows in Excel slows every offer. Automated underwriting starts with OM parsing and valuation that feed your model directly. - Floor plan analysis
Floor plans stuck as images
Plans sit in PDFs no software can read. Computer vision turns walls, doors and rooms into vector data and digital twins. - Document AI and integrations
Disconnected systems
Property management, CRM and deal tools don't share data. We build the integration layer so model outputs reach Yardi, RealPage or your warehouse.
Solutions
Every PropTech AI solution we build
Each one has been built and run in production. Start with the problem that costs you the most time.
Listings & marketing
Better listing photos, reviewed automatically.
AI virtual staging
90%+ lower staging cost than physical staging for PropTexx
Diffusion models furnish empty listing photos in the style you choose, while keeping the room's walls, windows, floors and lighting as they are.
For: Brokerages, Listing platforms, Agents
Listing image tagging and MLS compliance
50+ property features tagged in about 250ms per image
Computer vision sorts listing photos by room type, tags features such as kitchen islands and hardwood floors, and flags faces, licence plates and watermarks.
For: Listing platforms, MLS providers, Marketplaces
Valuation & underwriting
Faster, more consistent deal analysis.
AI property valuation and forecasting
70% less research overhead and <4% average forecast variance for Reath AI
Automated valuation models and forecasting engines that combine comps, transactions and rent rolls with features read from photos and floor plans.
For: Lenders, Investors, PropTech platforms
Offering memorandum parsing
OM analysis in under 3 minutes, down from several hours, for Finance Lobby
Rent rolls, NOI, cap rates, tenant summaries and deal terms pulled from 40 to 150 page OMs in any broker format and sent to your underwriting model.
For: Brokerages, Lenders, Investment firms
Lease abstraction and OCR
95%+ field-level extraction accuracy on typical documents
Tenants, rent schedules, escalations, renewal dates and risk clauses extracted from multi-page lease PDFs into a structured abstract.
For: Asset managers, CRE operators, Legal teams
Plans & buildings
Drawings and scans turned into data.
Floor plan analysis
Rooms, walls, doors and areas returned as structured JSON
Computer vision and OCR read PDF, CAD and scanned plans, detect walls, rooms, openings and symbols, and measure every room at drawing scale.
For: PropTech platforms, Renovation tech, Digital twins
AI quantity takeoff
Counts, lengths and areas in an estimator-ready takeoff, traced to the sheet
Drywall lengths, floor areas, door and window counts and MEP fixture schedules measured from construction drawing sets.
For: Estimators, Home builders, Subcontractors
Scan to BIM and digital twins
Point clouds, scans and legacy drawings converted into BIM-ready models
Legacy 2D plans, blueprints and laser scans turned into semantic building models ready for Revit and CAD tools.
For: Architects, Facility managers, Digital twin teams
Also built for real estate teams
Custom projects, each explained in an engineering guide.
- Let AI create OMs
Automated OM and marketing generation
Draft offering memorandums and marketing material from listing data and financials already in your CRM. - Automating CRE underwriting
Due diligence and underwriting automation
Read disclosures, title documents and environmental reports, and flag risks for the underwriting team. - Lead scoring for CRE teams
Lead scoring and deal prioritisation
Score buyer, tenant and deal leads on behaviour and fit, so your team calls the most likely ones first. - Agentic AI for CRE
AI assistants for property teams
Agents that qualify inquiries, answer questions about listings and book showings around the clock, with handover to your team.
Our own product
Generative AI virtual staging you can try today
Turn empty listing photos into furnished rooms in seconds. Our staging model keeps the room's proportions, walls, windows and lighting intact, so the photo still shows the real property.
- 90%+ lower staging cost than physical staging in our PropTexx case study
- 40% more inbound leads on staged listings
- Consistent furniture across different camera angles of the same room
Before
AfterNeed higher-resolution or batch staging?
Request an API trial. Tell us about your listing volume and we'll set you up with access to the production staging pipeline.
Case studies
PropTech AI running in production
Image intelligence and staging for PropTexx, OM parsing for Finance Lobby and market forecasting for Reath AI.
- Property features tagged per image for PropTexx
- 50+
- Lower staging cost than physical staging
- 90%+
- OM analysis for Finance Lobby, down from hours
- <3 min
- Less research overhead for Reath AI investors
- 70%
Real Estate & PropTechComputer VisionAI Property Image Intelligence for Listing Optimization & Compliance
PropTech founders and real estate leaders understand that property photos are the most critical asset in closing deals. PropTexx needed an automated way to enforce strict listing compliance and extract valuable insights from millions of unstructured real estate images without slow manual review.
- Property features tagged automatically
- 50+
- Compliance violation types detected
- 15+
Real Estate & PropTechGenerative AIAI-Powered Virtual Staging and Renovation
Buyers respond better to furnished rooms, but physical staging is expensive and slow. PropTech founders and real estate agency owners need a highly scalable, photorealistic virtual staging automation tool that works instantly.
- Lower staging cost than physical staging
- 90%+
- Increase in inbound leads on staged listings
- 40%
Real Estate & PropTechIntelligent Document ProcessingAI Offer Memorandum Parsing & Investment Intelligence
For commercial real estate brokers, lenders, and investors, evaluating an Offering Memorandum (OM) is a massive bottleneck. These 40-150 page documents are packed with crucial investment data hidden in complex tables, paragraphs, and financial projections that take hours to manually process.
- OM analysis time, down from several hours
- <3 min
- Extraction accuracy on critical financial fields
- 95%+
Real Estate & PropTechPredictive AnalyticsCRE Market Forecasting & Predictive Analytics Platform
PropTech founders and real estate leaders need rapid, hyper-local insights to identify lucrative investments. Reath AI required a powerful predictive engine that goes beyond raw data aggregation—to simulate renovation ROI and project precise rental yields.
- Less research overhead for investors
- 70%
- Average variance against real-world rates
- <4%
How we work
From your data to a model you own
A typical proof of concept takes 4–6 weeks. We measure it against your own benchmark data before anything goes to production.
You own the models
We build models that belong to you. No per-seat SaaS licence, and your workflows stay out of reach of competitors using the same tool.
Your cloud, your data
Pipelines run inside your own AWS, GCP or Azure account, under your security and compliance policies, so tenant and transaction data never leave your control.
Tuned to your documents
Models are fine-tuned on your documents, MLS layouts and underwriting templates, reaching 95%+ field-level extraction accuracy on typical documents where generic API wrappers fall short.
Connected to your systems
Event-driven pipelines and webhooks send results straight into Yardi, RealPage, MLS databases or your own CRM.
- Stage 1
Feasibility and ROI
We review your property data (OMs, leases, listing photos, plans) and where your team loses time, then agree the automation goals, integrations and the metrics that define success.Scope and success metrics - Stage 2
Data pipeline and architecture
We design how documents, images and drawings flow in, where models run, and how results reach your systems, inside your own cloud account if needed.Architecture and data flow - Stage 3
Model training and API integration
We train and fine-tune the models the job needs (document parsers, image classifiers, diffusion or spatial models) and build APIs that connect to Yardi, RealPage or your own CRM.Working models behind an API - Stage 4
Accuracy benchmarking and security testing
Models are measured against your benchmark data and the accuracy targets agreed in phase one. Private endpoints are security tested before launch.Benchmark report - Stage 5
Production deployment
We deploy into AWS, GCP or Azure on serverless endpoints or Kubernetes, migrate data and launch alongside your team.Live system in your cloud - Stage 6
Monitoring and retraining
After launch we watch for prediction drift, retrain as new comps, lease terms and listing styles appear, and keep response times in check.Ongoing accuracy
Track record
- AI models delivered
- 150+
- API requests served
- 2M+
- Field-level extraction accuracy on typical documents
- 95%+
- Typical proof of concept
- 4–6 weeks
Guides
How we build real estate AI
Implementation guides from our engineers on underwriting, valuation, staging and document intelligence.
NLP & Document IntelligenceHow AI is automating the Real Estate Underwriting
Commercial real estate underwriting – analyzing property financials, leases, and risks – is undergoing a massive shift. Discover how modern AI-powered platforms automate grunt work and compress cycles from weeks down to hours.
Read the guide
Computer VisionAI-Powered Floor Plan Analysis for Property Valuation: Automated Blueprint Intelligence & Custom AVMs
AI-powered floor plan analysis transforms raw architectural drawings into actionable spatial data, enabling faster, more accurate property valuation. Learn how computer vision and OCR convert blueprints into structured JSON for custom AVMs.
Read the guide
Computer VisionHow Property Image Analysis Improves Valuation Accuracy
How AI-driven property image analysis transforms subjective visual inspection into quantifiable valuation signals for higher appraisal accuracy.
Read the guide
Generative & Agentic AIAI-Powered Virtual Staging: How Generative AI is Revolutionizing Real Estate Marketing
How generative AI virtual staging turns empty-room photos into realistic furnished listings in seconds, and what brokerages need to deploy it at scale.
Read the guide
NLP & Document IntelligenceLease, Rent Roll & Contract Intelligence: Automating Real Estate Document Analysis with AI
Real estate is drowning in unstructured documents. Discover how AI-powered lease and contract intelligence platforms transform dense legal binds into structured, searchable databases.
Read the guide
Generative & Agentic AIAgentic AI Virtual Assistants for Commercial Real Estate
Modern CRE teams are racing to automate lead engagement and underwriting. Discover how to build a 24/7 AI agent that answers calls, texts, and emails while booking appointments in real-time.
Read the guide
FAQ
Questions, answered
Common questions about using AI across real estate and PropTech operations.
Have a more specific question? Ask our engineers.
AI can convert static floorplans into structured spatial data by detecting walls, room boundaries, and layout flow. This enables automation in renovation planning, digital twins, and layout comparison — turning floorplans into usable machine-readable assets.
Yes. AI models can understand design references and automatically render matching furniture and décor elements into property photos while maintaining realistic lighting and perspective. This allows scalable virtual staging and design personalization.
AI models analyze pricing history, migration patterns, interest rates, and supply-demand shifts to forecast rental and asset value trends — helping operators make proactive investment decisions.
Use AI to automatically score and prioritize leads based on behavior, location, property interest, and engagement signals. AI can trigger smart follow-ups, personalize communication, and identify high-intent buyers — helping teams focus only on leads most likely to convert.
AI can automate underwriting, analyze leases and OMs, forecast rental trends, score leads, understand floorplans, and power virtual staging. The goal is simple: reduce manual work and make faster, data-backed decisions.
Agents can use AI to qualify leads, generate listing descriptions, analyze comps, automate follow-ups, and schedule appointments. This reduces admin time and allows agents to focus on negotiations and closing deals.
AI improves marketing by analyzing buyer behavior, personalizing campaigns, generating content, optimizing ads, and staging properties virtually. It increases engagement while reducing wasted ad spend.
There is no single “best” tool. The most effective solution combines valuation models, predictive analytics, document intelligence, and financial modeling. Custom AI built around your data usually outperforms generic tools.
AI helps investors analyze more deals faster by automating underwriting, forecasting rent trends, detecting risk patterns, and stress-testing scenarios. It reduces guesswork and improves investment confidence.
AI can automatically extract financial data from OMs and leases, populate underwriting models, and run scenario simulations. This reduces spreadsheet errors and enables real-time, dynamic financial analysis.
Related
Keep exploring
- PropTechAI virtual stagingPhotorealistic staged listing photos that keep the room's real architecture.
- PropTechListing image taggingProperty features tagged and compliance issues caught on every listing photo.
- PropTechAI property valuationValuation and forecasting models that combine listings, images and layouts.
- Document AIOffering memorandum parsingRent rolls, financials and deal terms pulled from OMs in minutes.
Case studies
Book a strategy session
Talk to an AI engineer about your project
Tell us what you want to automate. The first call is a 30-minute working session with an engineer, not a sales pitch.
- Send the form, it takes 2 minutes
- We reply within 1 business day, under NDA if you need it
- A 30-minute call to scope feasibility and next steps