The intelligence layer
for property technology

Conversational AI handles leasing inquiries, maintenance requests, and renewals across chat, SMS, email, and voice. Autonomously resolves 95%+ of interactions.

AI property manager and leasing agents that schedule tours, follow up with vendors, and handle tenant requests automatically.

Realm-X AI assistant generates content, initiates workflows, and surfaces recommendations across the full property management platform.

AI automates back-office HOA tasks: routine communications, violation tracking, vendor coordination, and board decision support.

AI abstracts and analyzes commercial leases, delivering clause-cited insights and export-ready data in minutes.

AI automates dealmaking workflows for institutional CRE investment teams: sourcing, underwriting, and portfolio analysis.

Uses AI (BuyerTwin) to model buyer psychology and optimize proptech companies for AI engine visibility (AEO/GEO).

Agentic AI for financial variance detection and root-cause diagnosis; conversational AI to gather on-site context; AI-generated executive performance summaries.

AI-powered document type detection and field extraction from unstructured real estate documents; AI rent comps engine using public data and tenant sentiment.

AI-powered alarm triage that filters noise, prioritizes high-risk events by safety/uptime/comfort impact, and auto-generates CMMS work orders.

JoyAI engine prioritizes, routes, and summarizes work orders; voice-powered completion notes; AI-driven call triage for after-hours maintenance.

Computer vision and automation to extract building components from 3D point cloud data and auto-generate BIM models; automated deviation detection.

AI virtual leasing assistant handles prospect communication via email, chat, SMS, and voice; drives 46% tour conversion vs 19% for non-AI

Deepfake detection and fraud monitoring using 100+ network signals to analyze transactions for suspicious behavior.

AI-powered lease abstraction, Proposal AI for generating proposals 93% faster, VTS Analyst for market answers, Work Order AI converts emails to work orders.

JenZen AI agent performs automated utility bill data extraction with confidence scoring, energy market analysis, anomaly detection, and rate optimization.

Betsy AI mortgage advisor uses conversational AI to guide users through mortgage pre-approval, refinancing, and home equity products.

AI-powered risk scoring and fraud detection that underwrites lease insurance policies, algorithmically assessing renter risk across $14B+ in insured leases.

Aiden AI platform automates work order creation, management, and vendor dispatch across residential and commercial properties.

AI Copilot reviews real estate documents (titles, surveys, leases, deeds), analyzes property risk, generates reports, and drafts suggestions. Built to understand interdependent real estate documentation.

AI generates as-built drawings, takeoffs, and site plans from property data. Creates unit interior models in days without physical sitewalks.

Proprietary AI model combines LLMs with big-data ML, trained on trillions of data points (rents, property financials, sales histories, demographics, spending patterns of 250M+ U.S. adults) to automate acquisitions analysis, underwriting, and investment memos.

ML analyzes resident engagement signals (email opens, offer views, pricing sensitivity) to predict renewal likelihood via Momentum Scoring, then auto-personalizes outreach timing and content.

Agentic AI suite using NLP handles the full resident lifecycle across voice, SMS, email, and chat: maintenance triage, renewal conversations, collections follow-ups, and service workflows.

Kelsey AI agent uses NLP/ML to handle resident communication across phone, web chat, email, and SMS. Handles payment reminders, promise-to-pay tracking, and maintains context across channels.

ACE virtual assistant trained on years of multifamily phone call data uses conversational AI to handle prospect and resident inquiries across voice, chat, and text.

AI-powered property inspections auto-generate blueprints from uploaded photos using computer vision. Includes room recognition, smart prompts for missing coverage, and suggested layout cues. AI assistant handles tenant issue resolution, task automation, and reporting insights.

Computer vision analyzes listing photos to assess finish quality. ML models match rent comps by analyzing 35M+ units daily. LiquidRent API provides dynamic pricing recommendations based on historical and real-time market data.

Predictive analytics engine analyzes 200+ market variables to optimize rental pricing. Automated comp identification, price elasticity forecasting, and seasonal trend analysis.

Facial recognition for identity verification during self-guided apartment tours. Geolocation beacons track prospect movement. Conversational AI being integrated directly into tours.

AI-powered document classification and data extraction using OCR, computer vision, and ML. Classifies 1,600+ financial document types, captures key data fields, and detects fraud. Data accuracy insured by Lloyd's of London.

ML models assess risk by analyzing historical data, credit scores, and financials. Automated parsing of offering memorandums, rent rolls, operating statements, construction budgets, and tax returns. Predictive analytics for market volatility and cash flow forecasting.

Lev AI trained on millions of financing documents and market transactions. Extracts structured data with 95% accuracy, automates approval processes. Lender-matching engine leverages 7,000+ lender profiles. SOC 2 Type II certified.

Patented AI technology for automated document review, file QC, compliance checks, and closing preparation. AI-powered file reviews deliver instant, accurate results. Automates coordination between lending and settlement teams.

GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) methodology: entity clarity mapping, buyer-intent analysis, AI citation optimization across ChatGPT, Perplexity, and Google AI Overviews. Specialized in construction, architecture, and proptech verticals.

Monitors 500+ proptech-specific queries across ChatGPT, Claude, Perplexity, and Copilot. Builds content architectures designed for AI citation. Tracks citation rate, competitive positioning, sentiment, and accuracy.

Proprietary AI trained on multifamily documents extracts and categorizes financial data from rent rolls, T12 operating statements, and offering memos directly into Excel underwriting models. Claims 98% accuracy on rent roll extraction.

ML-powered knowledge graph unifies financial, operational, and third-party real estate data across 3.3B+ addresses. Entity resolution algorithms match properties across disparate sources. Agent.STUDIO platform enables custom AI agents on connected data.

OCR and NLP models extract 188+ data concepts from commercial lease documents, including aged/degraded scans with handwritten notes. ML continuously refined via human reviewer feedback. AI auto-identifies ~60% of concepts per tenant.

LLMs fine-tuned on thousands of vendor agreements review proposals and flag shortcomings. Predictive algorithm trained on $175B+ in project data forecasts cost overruns. OCR automates invoice and document processing.

LLMs integrated with proprietary digitized zoning databases power ChatDB, a conversational interface for querying property and market data. Proprietary algorithms analyze zoning regulations and development potential across millions of parcels to generate automated feasibility reports.

CNN/RNN-based OCR combined with custom NLP models extracts structured data from CRE documents including rent rolls, T12 operating statements, ACORD insurance certificates, and utility bills. Self-learning models retrain on user corrections, improving accuracy for institution-specific document formats.

Automated discovery algorithms run every 15 minutes, analyzing 2,000-3,000 attributes per property across 100+ data sources (MLS, iBuyers, off-market, auctions). ML models match properties to investor buy-box criteria and generate predictive pricing, cap rate, and appreciation scores.

Entity resolution ML and a proprietary knowledge graph (Reonomy ID) link 54M+ commercial properties across 3,100 county databases. NLP on corporate filings pierces ownership through shell LLCs to identify beneficial owners. Predictive models generate likelihood-to-sell scores from historical transaction patterns.

ML algorithms process WiFi network data to determine real-time occupancy patterns without hardware sensors. Vector-based similarity search powers a conversational AI interface for natural language queries on space utilization. AI lease abstraction extracts and structures key terms from lease documents.

Agentic AI with specialized agents for leasing, maintenance, and renewals. Combines LLMs for intent understanding, NLP for context extraction, and RAG powered by a vector database to generate property-specific responses across voice, WhatsApp, email, and webchat.

Uses Google Gemini LLM to consolidate unstructured CRE data (rent rolls, T12 financials, comps, photos) into branded offering memorandums, BOVs, and loan packages. Combines generative AI for narrative with NLP for document data extraction. Human-in-the-loop review on every page.

ML trained on thousands of rent roll formats combined with NLP for entity extraction and OCR for scanned documents. Automatically captures, standardizes, and validates rent roll data across any format, language, or currency using an 800-point data schema.

Conversational AI provides instant portfolio insights from ERP data. NLP-based lease abstraction extracts terms from documents automatically. An AI Job Agent automates repetitive operations workflows like COI verification and AP/AR processing across email, SMS, and Slack.

LLM-powered digital coworker agents pre-trained on CRE workflows automate rent roll parsing, OM abstraction, investment summary drafting, comp compilation, and location narrative generation. Built on technology that underwrote 50,000+ CRE transactions at Stablewood.

Computer vision models assess property condition from photos (categorizing Excellent through Very Poor). Neural networks estimate rental income with 36-month forecasting. Predictive analytics generate investment potential scores, price flexibility scores, and flip potential analysis across 140M+ U.S. properties.

Deploys conversational AI agents that handle inbound phone calls, SMS, and email for leasing inquiries and maintenance requests 24/7. Agents autonomously triage emergencies, dispatch vendors, and create work orders in property management systems.

MAX AI assistant handles resident maintenance intake via phone, SMS, and chat. Uses AI to analyze photos and descriptions for accurate issue diagnosis, generates actionable work orders with recommended repairs, parts, and tools.

SMRT IQ platform uses conversational AI with NLP on live IoT device data for real-time property insights, predictive maintenance alerts, and energy optimization. ML models analyze sensor data patterns across millions of connected devices.

AI Leasing Agent handles SMS inquiries 24/7, converts inbound calls to text, qualifies leads, and auto-schedules tours. ML algorithms analyze comps and demand signals for predictive rental pricing. AI facial recognition for self-showing ID verification.

AI Leasing Agent manages the full leasing journey across chat, text, email, and voice with human-like interaction and seamless handoff. Integrates Hyly.AI for autonomous marketing automation. Pulls data from PMS for context-aware responses.

Proprietary AI-powered web crawlers collect daily unit-level data from 35M+ apartments. ML cleans, verifies, and parses listings to detect renovations and extract amenities. Maven AI automates concession analysis and renovation ROI.

Proprietary image sensors use on-device computer vision with pre-trained ML models to detect occupancy without capturing identifiable images. Generative AI Workplace Assistant provides natural language recommendations for space optimization.

AI predictive analytics engine analyzes public market data combined with private customer data to optimize rent pricing in real time. Models forecast lease turnover and recommend renewal pricing. Agentic AI copilot helps set goals and budgets.

NLP-based conversational AI recognizes thousands of question variations from rental prospects across website chat, SMS, email, and phone. ML improves response accuracy over time. AI Nurture automates personalized follow-up sequences.

Deep learning neural networks (LSTM, physics-informed, autoregressive) predict indoor temperatures 6 hours ahead per zone. Reinforcement learning optimizes HVAC setpoints based on weather, tariffs, occupancy, and emissions. Autonomous AI sends live equipment commands.

Deep convolutional neural networks trained on 3.5TB of forensic imagery from Thornton Tomasetti's 50+ years of inspection data. Auto-detects 80+ damage types across eight building materials from photos, drone imagery, and thermal scans.

Uses agentic AI and machine learning for utility billing automation, including anomaly detection on meter data, intelligent bill audits to catch billing errors, and real-time equipment monitoring with proactive recommendations.

Agentic AI ingests and normalizes data from BMS, meters, and sensors to create digital twins. AI ranks energy optimization opportunities by economic impact, automates HVAC control strategies, and runs automated measurement and verification.

Machine learning models analyze anonymized mobile device signals to estimate foot traffic, visitor demographics, trade area boundaries, and cross-shopping behavior with 92% property-level accuracy.

Agentic AI and LLMs process unstructured building data (utility bills, assessments, PDFs) to identify retrofit opportunities, rank them by ROI, generate capex strategies, and automate compliance reporting for GRESB, TCFD, and SFDR.

JunieAI automates investor relations workflows including monitoring LP activity, transcribing voice notes, in-app chat for document actions, and prioritizing investor outreach using a decade of private markets data.

ML-powered AVMs trained on millions of property records and economic indicators achieve 3.1% median error. Image recognition neural networks identify room types and assess condition from photos. CanaryAI is a generative AI assistant for 136M+ properties.

AI-powered document intake automatically ingests construction plans, extracts key data, generates jurisdiction-specific compliance checklists, and flags code violations before submission.

Generative design AI autonomously tests thousands of site layout iterations against project constraints (zoning, parking ratios, FAR, yield on cost), then ranks solutions by KPIs.

Computer vision and SLAM algorithms process 360-degree jobsite imagery to automatically align photos, reconstruct 3D point clouds, and map progress to floor plans. ML models improve alignment accuracy over time.

Deep machine learning models automatically detect, measure, label, and compare spaces and features on architectural drawings with 97% accuracy. Processes takeoffs in under 10 seconds per sheet.

Computer vision models process footage from 360-degree cameras mounted on hard hats to automate progress tracking. Predictive analytics forecast delays up to 50% earlier. AI assistant Dot answers natural language queries about project status.

Agentic AI autonomously manages end-to-end mortgage tasks including document review, data extraction, bank statement forensics, and underwriting compliance. Proprietary SOLO framework combines general LLMs with domain-specific mortgage models.

Blend Autopilot is an agentic AI that completes loan origination reviews in 15 seconds, handling real-time data validation, discrepancy detection, document review, and guided borrower follow-ups.

Uses a proprietary multi-agent architecture with a Lease Language Model trained on CRE-specific datasets, augmented by commercial LLMs. Reinforcement learning enables continuous accuracy improvement. PredioGPT provides natural language querying.

Deploys autonomous AI agents that continuously audit leases for discrepancies and missed charges, automate due diligence by reviewing thousands of leases during acquisitions, and monitor delinquency patterns.

ResMate AI leasing assistant uses NLP built on ChatGPT to handle omni-channel prospect communication. AI Voice handles inbound leasing calls 24/7. Models trained on millions of prior leasing conversations for multifamily accuracy.

Deep learning computer vision models analyze property photographs to auto-detect and classify 700+ property features including room types, materials, and damage conditions with up to 99% accuracy. Maps outputs to 450+ RESO-standardized data points.