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41 Listings in Real Estate AI Available
What is Findigs? Findigs is a rental application screening AI agent offering an automated rental application and screening platform that verifies applicants with AI. Founded in 2019 and based in New York, New York, USA, Findigs helps property managers and owners automate rental application screening work and get results faster. Key capabilities of Findigs Application automation Income and identity verification Fraud detection Decision recommendations PMS integration Audit trail How Findigs works Findigs takes documents and applicant data as input and produces decisions and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Yardi, RealPage, AppFolio and Entrata, so the agent works inside existing workflows. Who uses Findigs? Findigs is built for property managers and owners. It suits teams that want application automation and income and identity verification without adding headcount, while keeping people in control of review and final decisions. Findigs vs Snappt Findigs is often compared with Snappt. Findigs stands out for application automation and fraud detection. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Roof AI? Roof AI is a real estate technology company, not a roofing business, whose AI assistant helps brokerages convert website visitors into customers through AI conversations. It was founded in 2016 and is based in Montreal, per third-party data. Key capabilities of Roof AI Lead qualification: AI conversations that qualify website visitors Appointment booking: schedules showings and calls Natural language property search: finds listings from plain questions Client nurturing: automated follow-up CRM integration: sends leads to your CRM MLS integration: matches visitors with listings How Roof AI works The assistant sits on a brokerage website, answers buyer questions, searches properties in natural language using MLS data, and routes qualified leads to the right agent. Follow-up automation nurtures contacts afterward. Who uses Roof AI? Real estate brokerages and teams use it. The vendor names Berkshire Hathaway HomeServices, RE/MAX and Coldwell Banker among the brands it serves. Roof AI pricing Roof AI does not publish pricing on the page we read. Contact the vendor for a quote. Roof AI alternatives Alternatives include Structurely for lead conversion, Likely.AI for predictive leads, Offrs for seller leads, Restb.ai for photo analysis, and REimagineHome for AI staging.
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Saaskart Market Grid™
Explore how leading Real Estate AI solutions compare based on customer satisfaction, market presence, adoption, and buyer feedback. The Market Grid helps you identify category leaders, high-performing solutions, and emerging products within the Real Estate AI ecosystem.
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What is Jurny? Jurny, from Horizon AI Inc., is an AI-native operating system called jOS for short-term rental operators, boutique hotels and multi-property portfolios. It uses a Network of Intelligent Agents (NIA) to run guest messaging, reservations, pricing and operations. Key capabilities of Jurny Unified AI inbox: Guest messaging across channels around the clock. Channel manager: Airbnb, Vrbo, Booking.com and Expedia. AI Review Manager: Automatic review responses. Upsell identification: Finds and delivers upsell offers. Revenue management: Pricing tools and a pricing intelligence add-on. Housekeeping and maintenance: Coordinates tasks. Digital guidebooks: Plus a branded guest web app and booking engine. How Jurny works NIA agents answer guest messages, respond to reviews, surface upsells and answer plain-language data questions. Calendars sync across OTAs, and tasks flow to housekeeping and maintenance. Add-on modules extend the PMS, screening and pricing. Who uses Jurny? Short-term rental operators, boutique hotels and multi-property managers. The platform connects with 100+ tools including Stripe, PriceLabs, Turno, Wheelhouse and Autohost. Jurny pricing The required jOS AI base plan is $19 per unit per month ($13.30 annually) with a $400 monthly minimum. Add-ons include AI-Powered PMS at $29, AI Guest Experience Pro at $14, Smart Device Hub at $4, AI Guest Screening at $8 and Pricing Intelligence at $12 per unit monthly. Jurny alternatives Guesty and Hostaway are established property management platforms, while HostBuddy AI focuses on AI guest messaging. Jurny combines the AI agents and PMS in one operating system.
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What is Vendoroo? Vendoroo is an AI-powered maintenance coordination platform for property managers. It automates front desk operations and maintenance workflows, handling routine requests end to end and escalating complex issues to human experts. Key capabilities of Vendoroo 24/7 maintenance intake: handles resident requests around the clock Task triage: automatically sorts and coordinates requests Work order management: creates and schedules work orders Resident communication: updates and supports residents Vendor bids: collects and compares vendor quotes Human escalation: complex issues go to experts How Vendoroo works Residents report issues by phone or message. Vendoroo triages the request, gathers details, creates and schedules the work order, coordinates vendors and keeps the resident updated, syncing with the property management system. Complex cases are escalated to human experts. Who uses Vendoroo? Vendoroo says 500+ property management companies use it, from small operators to multi-market firms managing 1,200+ doors. Reported results include a 42% reduction in open work orders, 37% fewer days to completion and a 98% resident satisfaction rating. Vendoroo pricing Vendoroo has three tiers named Engage, Direct and Command. Prices are not published, so quotes come from the vendor. Vendoroo alternatives Alternatives include Colleen AI for property management automation, Snappt for fraud detection in rental applications, and Findigs for rental screening and payments.
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What is CodeComply? CodeComply is an AI building code compliance and plan review platform for architects, cities and reviewers. It reads architectural plans and submissions and flags code issues with plain-language explanations and suggested fixes. Key capabilities of CodeComply Live code checks: Checks designs during drawing against ICC, NFPA, ADA, FHA and local amendments AI Precheck: Gives applicants pre-submittal feedback before they file AI Plan Review: Automates code analysis and version comparison for city reviewers Plan Chat: Lets reviewers ask questions about a plan Plain-language explanations: Describes each flagged issue Suggested fixes: Proposes corrections for flagged items How CodeComply works The input is an architectural plan or application submission. The platform runs automated code compliance checks and outputs flagged issues with explanations and suggested fixes. It comes in three products: AI Compliance and Design for AEC professionals, AI Precheck for cities at the pre-submittal stage, and AI Plan Review for cities at the review stage. Reviewers keep control of final decisions. Who uses CodeComply? Architects and design firms checking code during design, and municipal permitting offices speeding up submissions. Logos shown include AHA Studios, City of Greenville, Marriott, Princeton University and Mortenson. CodeComply pricing CodeComply does not publish pricing on its site. Products are sold to design firms and local governments, and the vendor completed a SOC 2 audit with the report available on request. CodeComply alternatives Alternatives include Ai Permit for permit review automation, Trelico for code and plan checks, and Bluebeam for markup-based plan review.
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What is ALICE Technologies? ALICE Technologies is an AI platform that automates construction project planning and scheduling through generative scheduling, exploring many scenarios to optimize timelines, cost and risk. It operates on roughly $297 billion of construction projects globally. Key capabilities of ALICE Technologies ALICE Plan: visualizes schedules in 2D over project drawings ALICE Optimize: generates optimized alternatives from existing P6 or MSP schedules ALICE Model: generates baseline schedules from BIM models Schedule Quality: DCMA 14-point analysis scoring Schedule Insights Agent: conversational insights Risk and scenario modeling: compare time versus cost outcomes How ALICE Technologies works You upload schedules or BIM models, define goals and constraints, and ALICE simulates millions of scenarios. Solutions appear on time versus cost graphs and you pick and implement the best option. It imports Oracle Primavera P6 and Microsoft Project files. Who uses ALICE Technologies? Contractors and owners. The vendor lists Costain, Parsons, Zachry, Suffolk, Implenia, McKinsey and Accenture, and cites 17 percent shorter durations, 14 percent labor and 12 percent equipment savings. ALICE Technologies pricing ALICE does not disclose pricing on its homepage. Prospects are directed to request a demo. ALICE Technologies alternatives TestFit and Versatile also serve built-environment workflows, TestFit for site feasibility and Versatile for site analytics. Lofty, Ylopo and Saleswise are real estate sales tools. ALICE is for construction scheduling.
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What is CoreLogic? CoreLogic is a property data and analytics company that has rebranded as Cotality. It supplies property data, climate and risk analytics, market data and customer insights across the real estate ecosystem. Key capabilities of CoreLogic Property data: Reports 98 percent or more property coverage in its largest markets. Climate and risk analytics: Forward-looking environmental risk forecasting. Market data: Home price trends and forecasts. Matrix: An MLS platform for brokers and agents. OneHome: A consumer home search and collaboration platform. Address verification: Technology to validate addresses. CoreAI: Machine learning intelligence layered on its data. How CoreLogic works The company ingests property records and market data, refreshes more than a million data points monthly and applies machine learning, modeling and quality assurance to produce analytics. Customers consume it through platforms such as Matrix and OneHome, or through data and analytics products. The site cites three decades of history. Who uses CoreLogic? Customers include real estate agents, lenders, insurers, valuers and investors. The company serves the United States, United Kingdom, Australia, New Zealand and Canada. CoreLogic pricing Pricing is not published on the vendor site. Products are sold to businesses by contract, so contact the vendor for a quote. CoreLogic alternatives Alternatives include Keyway, which focuses on commercial real estate data and underwriting, TestFit, which automates site planning, and Lofty, an agent CRM and website platform.
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What is PermitFlow? PermitFlow is AI-powered permitting software for contractors, builders, developers and architects. It automates the pre-construction permit process with five specialized agents. Key capabilities of PermitFlow Intake Agent: Pulls project data from CRMs and files to start a permit Research Agent: Finds permit requirements in PermitFlow's database and AHJ portals Submission Agent: Completes forms and files directly with authorities having jurisdiction Coordination Agent: Tracks updates and handles stakeholder communication Issuance Agent: Handles permit receipt, inspection tracking and closeout AHJ coverage: Over 7,000 authorities having jurisdiction nationwide How PermitFlow works PermitFlow starts from project data in a CRM or files, determines which permits a project needs, fills and submits forms with the local authority, then monitors status and manages communication until issuance and inspections. It uses 12 million+ data points on requirements and decisions drawn from $20 billion in permitted construction value. Who uses PermitFlow? PermitFlow is used by home services and commercial contractors, home builders, developers and architects. Its site names Apple, Amazon, IKEA, Lennar and GAF. PermitFlow pricing PermitFlow does not publish pricing. Users are directed to book a demo. PermitFlow alternatives Alternatives include other permit expediting services and software; PermitFlow differs through its agent-based workflow and AHJ-level data.
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What is Snappt? Snappt is an AI-powered applicant fraud detection and income verification solution for multifamily property managers. Its fraud detection model is trained on over 13 million documents and checks them against known fraudulent document types. Key capabilities of Snappt Document fraud detection: Analyzes over 10,000 document features against 2,000-plus known fraud types Income verification: Connects to payroll providers for instant income checks Identity verification: Confirms applicant identity Fast rulings: Average turnaround of 10 minutes or less per vendor Audit trail: Records decisions for compliance PMS integrations: Entrata, Yardi Breeze, RealPage, ResMan and Inhabit How Snappt works Applicants submit pay stubs, bank statements and other documents during screening. Snappt analyzes them for tampering and fraud signals and returns a ruling, while payroll connections verify income directly. Results flow into the property management system. Who uses Snappt? Multifamily property managers and owners screening rental applicants. Snappt is embedded in Yardi Breeze through ScreeningWorks Pro. Snappt pricing Snappt does not publish prices. Property managers request a quote. Snappt alternatives Alternatives include Findigs for income verification, Roof AI and Colleen AI for leasing automation. Snappt focuses on applicant fraud.
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What is Saleswise? Saleswise is an AI workspace for real estate agents that puts several listing tools in one platform. It covers market analysis, staging and marketing materials. Key capabilities of Saleswise AI CMA: Comparable market analyses with suggested pricing, interactive maps and downloadable reports. Virtual staging: Restyles room photos in different design styles for MLS-ready listings. Flyer maker: Print-ready flyers for just-listed, open house and price-reduced scenarios. Listing descriptions: Drafts property descriptions. Email writing: Generates client and prospect emails. Blog posts: Generates blog post drafts. How Saleswise works An agent enters a property address or uploads room photos. Saleswise generates a CMA with comps and a suggested price, stages the photos in a chosen style or builds a flyer. All three work inside one account, and the agent reviews and edits output before sharing. Who uses Saleswise? Saleswise is for real estate agents who want listing prep tools without separate subscriptions for each task. The site says it is used at multiple brokerages. Saleswise pricing Saleswise costs $39 per month for full workspace access. The vendor states usage is unlimited with no per-report or per-image fees, there is no long-term contract and you can cancel anytime. Saleswise alternatives Alternatives include Likely.AI, which scores contacts for likelihood to sell, Roof AI, which engages website leads with a chatbot, and REimagineHome, which focuses on AI interior redesign.
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What is Cherre? Cherre is a real estate data management platform that organizes and connects data across many sources for enterprise use. The vendor reports 150+ partnerships, connections to 200+ data lakes and warehouses, more than 10,000 data pipelines and 3.5 billion connected data points. It also offers Agent STUDIO for building AI agents. Key capabilities of Cherre Data integration: 150+ data and application provider partnerships Warehouse connections: 200+ data lakes and warehouses Pipeline management: 10,000+ pipelines and 20,000+ schema changes handled Workflows: portal for data submission Agent STUDIO: create AI agents on real estate data AI Agents marketplace: prebuilt agents How Cherre works Cherre ingests data from property, market and operating systems, validates and cleans it with automated workflows, and models it into a connected dataset delivered to your warehouse or tools. Agent STUDIO then lets teams build agents that work on that governed data, with users reviewing outputs. Who uses Cherre? Asset managers use Cherre for portfolio optimization, market analysis and risk management, and investment managers use it for risk evaluation, performance benchmarking and regulatory reporting. Cherre pricing Cherre does not disclose pricing on its homepage. Users are directed to request a demo. Cherre alternatives Cherre is compared with PRODA for rent roll data, HouseCanary and Keyway for property analytics, and Leni for real estate AI. Cherre emphasizes connecting many sources into one dataset.
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What is HouseCanary? HouseCanary is a residential property valuation AI agent offering AI-powered property valuations, market forecasts and data for residential real estate. Founded in 2013 and based in San Francisco, California, USA, HouseCanary helps lenders, investors and iBuyers automate residential property valuation work and get results faster. Key capabilities of HouseCanary Automated valuation models Market forecasts Property data APIs Valuation reports Portfolio dashboards Data integrations How HouseCanary works HouseCanary takes property data as input and produces insights and reports. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Yardi, RealPage, Entrata and AppFolio, so the agent works inside existing workflows. Who uses HouseCanary? HouseCanary is built for lenders, investors and iBuyers. It suits teams that want automated valuation models and market forecasts without adding headcount, while keeping people in control of review and final decisions. HouseCanary vs CoreLogic HouseCanary is often compared with CoreLogic. HouseCanary stands out for automated valuation models and property data APIs. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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Real estate AI applies machine learning and generative models across property work, lead engagement, listing content, valuation and market analysis, transaction automation, and property management, for agents, brokerages, and investors. This guide explains what it is, how it works, what matters, and how to choose one.
Real estate AI applies machine learning and generative models across property work, lead engagement, listing content, valuation and market analysis, transaction automation, and property management, for agents, brokerages, and investors. This guide explains what it is, how it works, what matters, and how to choose one.
Real estate AI covers tools that assist buying, selling, and managing property: AI lead capture and follow-up, listing description and marketing generation, automated valuation and market analysis, transaction and document automation, and property-management assistants.
It appears as standalone tools (AI lead nurturing, listing copy, valuation) and as AI features inside CRMs, MLS platforms, and property-management software.
The category centers on responsiveness, content, and data-driven insight in a relationship-driven industry. Buyers weigh lead conversion impact, content quality, data accuracy, and integration with their CRM and MLS.
Real estate AI engages and qualifies leads via chat and automated follow-up, generates listing descriptions and marketing content, analyzes market and property data for valuation and insights, and automates transaction documents and tasks.
Platforms combine conversational AI, generative content, valuation/market models, and document automation, integrated with CRMs, MLS, and property-management systems.
Agents and teams connect their CRM and data, let AI nurture leads and generate content, and use market insights for pricing and advising, while maintaining the personal relationships central to deals.
AI chat and automated, personalized follow-up engage and qualify leads instantly, 24/7.
Generate compelling listing descriptions and marketing content in seconds.
Automated valuation and comparative market analysis from property and market data.
Automate documents, disclosures, and transaction tasks to reduce manual work.
Automate tenant communication, maintenance requests, and routine management tasks.
Integrate with CRMs and MLS so leads, listings, and data stay in sync.
Instant AI follow-up engages leads when interest is highest, improving conversion.
Generate listings and marketing in seconds instead of writing each by hand.
Valuation and market analysis support sharper pricing and advice.
Transaction and management automation reduces paperwork and busywork.
AI nurtures more leads so agents focus on high-intent clients.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| AI lead nurturing | Engage and qualify leads | Agents to brokerages | Fast, 24/7 follow-up | Needs human handoff |
| Listing & marketing AI | Descriptions and content | Any | Fast, scalable content | Review for accuracy/compliance |
| Valuation & analytics AI | Pricing and market insight | Any | Data-driven decisions | Estimates need local judgment |
| Property management AI | Tenant and ops automation | Managers and owners | Reduces admin load | Edge-case handling |
Residential Brokerage: Engage leads, generate listings, and advise on pricing faster.
Commercial Real Estate: Analyze markets and automate documentation for complex deals.
Property Management: Automate tenant communication, maintenance, and routine operations.
Real Estate Investment: Analyze deals and markets with data-driven valuation.
Mortgage & Lending: Engage applicants and automate document-heavy workflows.
Real Estate Marketing: Generate listing and campaign content at scale.
Look for evidence that AI follow-up improves response and conversion, with clean handoff to agents.
Test listing/marketing output for quality and fair-housing/advertising compliance.
Assess the accuracy and locality of valuation and market data for your area.
Confirm integration with your CRM and MLS so data and workflows stay in sync.
Agents adopt tools that are simple and fit daily workflows.
Understand per-seat or usage pricing and how it scales for teams.
AI lead engagement is becoming instant and conversational, sharpening the speed-to-lead advantage.
Generative content and virtual staging are streamlining listing marketing end to end.
Data-driven valuation and market insight are growing more accurate and accessible.
Buyers should prioritize conversion impact, content compliance, data accuracy, CRM/MLS integration, and agent usability.
Real estate AI applies machine learning and generative models across property work, engaging and qualifying leads via chat and follow-up, generating listing descriptions and marketing content, automating valuation and market analysis, automating transaction documents, and assisting property management. It comes as standalone tools and as AI features inside real estate CRMs, MLS platforms, and property-management software.
It can, primarily through instant, personalized follow-up that engages leads when interest is highest and nurtures them until they're ready, with handoff to the agent for high-intent conversations. Speed-to-lead is a known driver of conversion. Look for evidence of improved response and conversion, and ensure clean human handoff for relationship-building.
It can violate fair-housing and advertising rules if unmanaged, since certain language is prohibited in real estate marketing. Choose tools aware of these rules, and always review AI-generated listings and ads for compliance before publishing. Compliance review is a must, not optional, in real estate content.
Automated valuations and comparative market analyses are useful data points derived from property and market data, but they're estimates that can miss local nuances, condition, and unique factors. Use them to inform pricing and advice alongside local market expertise rather than as definitive values.
Leading tools integrate with popular real estate CRMs and MLS systems so leads, listings, and data stay in sync and AI fits your workflow. Integration depth varies by market and platform, so confirm support for your specific CRM and MLS before adopting.
No, real estate is relationship- and trust-driven. AI automates lead follow-up, content, analysis, and paperwork, freeing agents to focus on relationships, negotiation, and advising. The strongest agents use AI to be more responsive and efficient while keeping the human touch clients value.
Common models are per-seat (agent) subscriptions, usage-based, or add-ons within a CRM or MLS platform. Estimate your team size and lead/listing volume, and weigh CRM/MLS integration and ease of use alongside cost.
Prioritize evidence of lead-conversion impact with clean agent handoff, content quality and fair-housing compliance, valuation/market data accuracy for your area, CRM and MLS integration, agent usability, and pricing. Trial it on real leads and listings and confirm compliance before rolling out.