AI is already transforming real estate, shaping the way teams lease, manage, invest in, and operate properties across sectors.
This article walks through where AI is actively deployed today, organized by vertical. Not only that, but to help CEOs navigate this growing landscape, we’ve compiled 200+ AI real estate companies and categorized them further by subvertical, company stage, primary users, key applications, AI types, and more. Access and interact with the database here.
This article draws from our white paper, Real Estate AI: A CEO’s Guide to What Matters Now. It tackles the most important AI questions facing real estate leaders and lays out a clear path to adoption. Download the full guide.
How AI Is Being Used Across Real Estate Verticals
Here’s a look at how real estate companies across different verticals are using AI to reduce manual work, make faster decisions, and improve day-to-day operations.
Residential
AI is powering real-time improvements across nearly every aspect of residential operations, from marketing and leasing to resident support and asset management.
Listing Management and Search
Listing creation has long been tedious, but thanks to AI, it’s now automated. AI companies like Proptexx use AI to generate SEO-driven, tailored descriptions based on property type, location, and brand voice, giving marketers faster ways to build high-quality listings.
Meanwhile, Apartment List is simplifying lease creation by automating first-draft documents based on applicant data and property records. Moreover, Truelist has an AI-powered listing coordinator for residential listing agents - automating listing prep, vendor scheduling, and seller communication through a voice- and text-based AI assistant.
Lead to Lease
AI-driven property marketing platforms like PERQ and MultiHub are helping property managers optimize lead conversion. These platforms personalize outreach, increase resident engagement, and drive more qualified leads through tailored campaigns.
Property and Asset Management
AI solutions like SurfaceAI and Leni are reshaping property and asset management by automating lease audits and delivering real-time insights into property performance.
Beyond this, SurfaceAI’s Lease Audit Agent continuously scans leases and rent rolls in the background, adapting to each property’s unique terms, flagging discrepancies in real time, and routing them directly to onsite teams for resolution, preventing revenue leakage before it occurs.
Meanwhile, Leni equips asset managers with AI-powered analysis on trends, benchmarks, and performance, making it easier to make informed decisions.
Lease Abstraction
AI is also simplifying the lease abstraction process. Prophia uses AI to extract key clauses from long-form lease documents, such as escalations, renewals, and liabilities, and turns that data into structured outputs. This improves decision-making across portfolios by making lease data accessible and usable in dashboards and financial models.
Resident Operations
For resident-facing operations, AI is improving support workflows and freeing up property management teams. Chatbots from companies like Propic and BetterBot handle common resident inquiries, log issues, and route service requests - reducing support volume by up to 50%.
Commercial
AI is helping commercial real estate teams move faster, make smarter location decisions, and manage assets with less manual effort.
Site Selection
AI-driven site selection platforms are helping businesses make more informed expansion decisions. Platforms like Placer.ai analyze foot traffic patterns and demographic data to surface high-potential locations. These insights are especially useful for sectors like retail, foodservice, and healthcare, where location can make or break a business.
Property Intelligence and Risk Modeling
AI is helping commercial real estate teams better assess and manage property risks. Platforms like Zesty AI and Foxy AI combine historical and real-time data to flag potential issues, including tenant defaults, lease breaks, and regional volatility.
Predictive Maintenance
AI-powered predictive maintenance platforms like BrainBox AI are enabling facility teams to identify equipment issues before they become costly problems. By analyzing sensor and service data, these software can forecast failures and maintenance needs in advance. Hence, reducing downtime, lowering reactive repair costs, and keeping operations running smoothly.
Lead Management
Commercial sales teams are also benefiting from AI-driven lead management platforms. Uniti, for example, helps streamline sales processes by optimizing lead generation and targeting. These systems can predict buyer behavior and recommend strategies to improve deal flow, allowing property owners to focus on the highest-value prospects.
Property Operations
AI applications are also enhancing commercial property operations. Safari AI uses imagery and analytics to improve building performance, energy efficiency, and security. It also delivers insights into tenant behavior, helping managers make better-informed decisions and elevate the overall experience within their properties.
Industrial
In the industrial real estate sector, AI is being used to drive efficiency across factory operations, supply chains, site selection, and maintenance. These solutions are reducing costs, improving workflows, and supporting faster decision-making.
Factory Floor Management
AI platforms like Covariant AI help industrial teams manage staffing by forecasting work order volumes and aligning shifts accordingly. Whereas, Endeavor AI supports production scheduling and operations management. This helps manufacturers reduce reliance on spreadsheets while automating pricing, sales orders, and documentation.
Supply Chain and Warehouse Optimization
AI is also improving site selection and warehouse operations. SCW AI analyzes zoning, labor market data, and transit access to help identify optimal locations for industrial facilities. Dexory enhances warehouse intelligence by optimizing space usage and automating routine floor tasks, leading to greater efficiency and lower operating costs.
Predictive Maintenance
AI is transforming predictive maintenance in industrial settings by using sensor and equipment data to forecast issues before they happen. Platforms like C3.ai provide enterprise analytics and asset performance solutions that help factories address equipment problems early to reduce downtime. These systems improve asset efficiency, lower maintenance expenses, and extend the life of essential machinery.
Fleet Management
AI is making fleet operations more efficient and cost-effective. GeoTab, for example, uses AI to monitor vehicle performance, plan optimal routes, and track fleet activity in real time. These insights enable companies to reduce fuel consumption, improve delivery times, and enhance overall fleet productivity.
Hospitality
In the hospitality industry, AI is being used to improve both guest-facing services and internal operations. From dynamic pricing to personalized messaging, these platforms are helping hotels and short-term rental platforms increase revenue and reduce manual workload.
Sales and Lead Management
AI is driving better lead management and higher conversions across hospitality platforms. Revinate uses guest data to personalize marketing and improve booking performance. Conduit takes a more proactive approach by deploying AI-driven sales agents across properties, identifying new opportunities for bookings and guest engagement.
Dynamic Pricing
Hotels are also using AI-powered pricing engines to stay competitive and maximize revenue. Platforms like PriceLabs adjust room rates in real time based on demand signals, local events, and competitive pricing. These systems allow hotels to react quickly to market shifts and optimize their pricing strategies.
Back-Office Operations
Back-of-house operations are becoming more efficient with AI. Autohost and Innflow use AI to automate administrative functions, manage occupancy, and enhance security. These platforms streamline daily operations while minimizing human error, resulting in smoother hotel management and improved efficiency.
Guest Services
Guest-facing AI software are improving service quality and response time. Platforms like D3X deliver personalized messages before, during, and after a guest's stay - helping drive upsells and improve satisfaction. Meanwhile, AskSuite’s AI agents handle guest service requests like towel deliveries or late checkouts, significantly reducing response times and improving the overall guest experience.
Lending and Investing
On the capital side of real estate, AI is helping firms move faster, reduce risk, and automate critical workflows. These platforms are used across lending, deal sourcing, underwriting, and portfolio management.
Lending
AI is streamlining lending processes, particularly for complex loan types like Non-QM. LoanLight uses AI-native underwriting engines to simplify complex credit decisions and reduce friction in Non-QM origination. Zest AI provides risk and credit models that analyze past performance data to evaluate deal suitability and flag potential red flags based on fund-specific criteria.
Deal Sourcing
Firms are using AI to identify investment opportunities more efficiently. Platforms like Reonomy leverage property data to uncover valuable deals and speed up the research process - helping teams focus their time where it matters most.
Deal Underwriting
Platforms like Archer parse unstructured documents (such as rent rolls and appraisals) and turn them into structured data pipelines. Henry AI and Plunk further support this process by generating investment memos that summarize key deal details, such as rent comps and projected IRRs. These solutions reduce manual effort and enable teams to make faster, better-informed decisions.
Portfolio Management
In portfolio management, AI software like Cherre help investors ingest and organize property data at scale. These platforms make it easier to analyze performance, forecast trends, and uncover opportunities to optimize strategy. The result is better decision-making and increased operational efficiency across entire portfolios.
Construction
In construction, AI is reducing rework, improving planning, and giving teams better visibility into site progress and project risks. These platforms are being used across the lifecycle, from preconstruction to project scheduling.
Preconstruction
AI is streamlining the early stages of construction planning. Platforms like Slate AI and Firmus AI automate key preconstruction tasks, including takeoffs, site selection, cost forecasting, and scope validation. These systems improve planning accuracy and help teams catch potential issues before they escalate.
Site Monitoring and Operations
AI-powered platforms like OpenSpace use machine learning to track project progress and identify potential risks. Doxel AI applies computer vision to monitor job sites, flag safety concerns, count worker headcount, and detect deviations from the schedule - ensuring projects stay on track and meet safety standards.
Architecture and Design
AI is also transforming how buildings are designed. HighArc uses generative design systems to suggest optimized layouts and structural configurations based on zoning rules, site conditions, and budget.
Canoa brings AI and machine learning into a browser-based CAD environment, giving architects and designers a fast, collaborative workspace for building layouts, presentations, and mood boards - all within a single platform.
Administration and Data Management
Gryps helps project teams organize construction data and track performance across the full lifecycle. These solutions reduce the complexity of managing documentation, helping teams stay organized and on schedule.
Project Scheduling
Project timelines are becoming more adaptive with AI-powered scheduling engines. Trunk Tools generates optimized construction schedules based on real-time factors like material availability, subcontractor calendars, and weather. These schedules adjust dynamically, allowing teams to manage delays and keep projects moving forward.
How to Choose the Right AI Vendor?
Selecting the right AI platform starts with understanding what your business actually needs. You're not just buying a product, you’re choosing a team that will shape how AI fits into your daily workflows. Look for vendors who combine strong technical expertise with a deep understanding of the real estate industry. The right partner will focus on embedding AI where it drives meaningful results, not just where it’s flashy.
A critical consideration is how the platform works with your proprietary data. This data is often your single greatest competitive advantage - the “brain” that knows your market, your clients, and your operations better than anyone else. A strong vendor should help you harness it to train or fine-tune AI models, so the system reflects your unique expertise and delivers insights your competitors simply can’t match.
But the opportunity comes with risk. Your data may contain sensitive client information, transaction histories, or other confidential records. The right vendor will have robust data security, privacy protections, and clear governance processes to ensure it stays protected. They should be transparent about how data is stored, processed, and (if applicable) anonymized and give you control over whether it’s used to improve the vendor’s broader models.
Beyond data, ask whether the platform is built to handle the realities of your business: is it stable under high transaction volume? Can it adapt as your needs evolve? The best vendors are honest about what AI can and can’t do. They design systems that account for failure points, provide clear override controls, and support continuous improvement as models evolve. And they treat data as core infrastructure - extracting, cleaning, and structuring it so AI outputs are accurate, useful, and secure - all through an interface your team can trust and easily use.
Can’t Find What You Need? Build It With Stackpoint
If you have pain points you haven’t been able to solve, talk to Stackpoint. We help reimagine your workflows from the ground up - using AI not for small, incremental gains, but for 10x impact.
AI-native companies don’t feel like AI is tacked on as a feature; they feel like solutions that couldn’t exist before AI matured. That’s why Stackpoint partners with real estate operators to build AI companies from scratch, unlocking capabilities only AI can uniquely enable. We’ve done this countless times - delivering fast insights, rock-solid data security, and minimal disruption. Partner with us to co-build a product you’ll love.
