Agentic Index
The best AI agents for real estate in 2026
Agentic Index tracks 18 AI agents for real estate: 3 built for the industry and 15 broader platforms that also serve it. EliseAI, Cambio, and Smart Bricks document the broadest capabilities among the specialists. 9 of the 18 researched vendors publish their prices, and 9 sell by quote through a sales team.
AI agents for real estate answer and qualify leads for brokerages, leasing teams and property managers. They pick up calls and texts at any hour, answer questions about a listing or a unit, book showings and tours, and follow up until the lead responds.
On the property management side they take maintenance requests, answer resident questions and handle renewals. Most products here work by phone and text, since that is how renters and buyers make contact, and connect to the CRM or the property management system.
Researched from public sources on the same 14 capabilities. No vendor pays for placement. How this list works
Where to start: 3 of 3 built for real estate
Latest verified research: 2026-11-09
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1EEliseAIPriced by quote
LeasingAI answers prospects and books AI guided, in person or self guided tours, while ResidentAI handles maintenance requests, renewals and delinquency follow up by call, text and email. VoiceAI routes emergency maintenance by the operator's escalation rules, and everything syncs with Yardi, RealPage, Entrata or AppFolio.
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2CCambioPriced by quote
Agents read utility bills, energy audits, drawings and property system data across a commercial portfolio, assess each building's performance and rank retrofit opportunities by return, then generate capital expenditure plans. Compliance reporting runs across multi country portfolios and adapts as regulations change, for owners such as Nuveen, BGO and LaSalle.
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3SSmart BricksPriced by quote
Deal Agents scan markets for opportunities, Underwriting Agents model risk across more than a thousand variables per property, and Execution Agents handle diligence, documentation and transaction coordination, with the investment decision left to the client. Portfolio Intelligence Agents then watch performance and exit signals on data anchored by the Dubai Land Department.
Broader platforms that also cover real estate
These 15 vendors sell a wider product and name work for real estate as one of its uses. They suit a company that already runs on the platform or wants one agent layer across several teams.
- HHighLevel
- A real estate team's voice agent calls each new web lead during calling hours, logs the transcript and outcome on the contact, and books a viewing on the right agent's calendar when the caller is ready. After hours, the same agent answers inbound property questions from the team's knowledge base.
- GGallabox
- A WhatsApp agent captures property inquiries across channels, qualifies each buyer's intent and routes serious buyers to the right property advisor, moving them from inquiry to viewing. Sotheby's International Realty resolves 90% of customer questions through its Gallabox chatbot, which leaves its sales team free for high value buyers.
- AAutocalls
- A real estate agency's assistant calls each web form lead as soon as it arrives and asks about budget and timing, then posts those answers to a webhook that updates the agency's CRM. The same assistant can take inbound calls on its own number and transfer a ready buyer to a human agent.
- CCloudTalk
- A rental company fires a call from a HubSpot workflow the moment a web lead arrives, and the agent qualifies the renter and writes the budget and dates into the HubSpot call note. Pipedrive, Salesforce and Zoho workflows can trigger the same call.
- JJustCall
- A brokerage starts from the lead qualification template, loads its listings site into a knowledge base that refreshes every 24 hours, and has the agent answer questions about current listings. Qualified callers go to the listing agent by warm transfer with a spoken summary, and the call logs to the CRM.
- KKleio
- Agents qualify buyers and surface matching properties through guided discovery, reasoning over each listing's attributes, price and availability, and buyers can schedule a showing from inside a consumer AI assistant. The agency network Orpi runs it on Orpi.com and across its 1,250 agencies, and developer Altarea Cogedim uses it too.
- AAgentVoice
- A property manager runs the licensed engine in its own AWS account, where the agent logs tenant repair requests in the maintenance system and books technician visits on the calendar. Tenant call recordings and transcripts stay in the manager's own database, under the retention policy it sets.
- TTelli
- Phone agents handle property inquiries, book viewings and valuations, answer tenant support calls and follow up with buyers and sellers, working through the CRM, property management and scheduling systems. Homeday uses them for round the clock inbound coverage, and McMakler cut peak call wait times threefold.
- CCallers
- Speed to lead campaigns call buyer leads within seconds of a form fill, ask screening questions and book only ready buyers into the CRM, then confirm or reschedule showings. For rentals they handle move in logistics, rent reminders, renewals and maintenance notices over voice, text and WhatsApp, and hand the rest to the team.
- QQuo
- Sona answers tenant and leasing calls after hours or when the team is busy, handles repeat questions from a knowledge page and texts a form or directions mid call. Quo routes maintenance emergencies by property and on call schedule, and each Sona call lands in the shared inbox with its recording and summary.
- FFastio
- Each transaction gets a branded deal room that holds disclosures, floor plans, contracts and drone footage, and the team's Claude or ChatGPT agents read the same files over MCP. Metadata extraction pulls price, beds, baths and square feet from listings into a sortable table, and every view and download is logged.
- BBardeen
- Prebuilt scraper templates pull listings, prices and agent profiles from Zillow and local directories, then enrichment adds each agent's contact details. The AI Qualifier sorts the list by property type, price range or location, and the results land in Google Sheets or Airtable for outreach to agents and owners of several properties.
- VVoiceGenie
- Outbound campaigns call each new buyer lead from a personalized script, ask about budget and timing, and book viewings through Cal.com for the interested ones. Calls run on the brokerage's own Twilio or Plivo numbers, contact data syncs with HubSpot or HighLevel, and a caller who asks for a person is transferred live.
Picks by what you need most
How they charge
- Published prices: 9 of 18
- Plans and prices are on the website, and a team can start without a sales call. Examples: HHighLevel,GGallabox,AAutocalls andCCloudTalk.
- Priced by quote: 9 of 18
- Sold through a sales team, with pricing set per customer. Examples: KKleio,AAgentVoice,TTelli andCCallers.
Where they run
- Private cloud: 0 of 18
- No vendor in this group documents a private cloud option.
- On premises or self hosted: 0 of 18
- No vendor in this group documents an on premises or self hosted option.
The rest run as a cloud service operated by the vendor.
What to check before a shortlist
- How fast and where it answers
- Leads go to whoever answers first. Check that the agent covers calls, texts and web inquiries, at any hour.
- What it connects to
- The agent should read listings and availability, and write leads and appointments into the CRM or property management system in use.
- How it hands off
- A serious buyer or an upset resident needs a person. Look at how the agent transfers the conversation and what that person sees.
- Fair housing
- Housing conversations are covered by fair housing law. Look at how the vendor keeps the agent's answers inside those rules.
Head to head
All 18 AI agents for real estate
Common questions
- What are the best AI agents for real estate?
- EliseAI, Cambio, and Smart Bricks lead the 3 products built for real estate tracked by Agentic Index, and HighLevel, Gallabox, and Autocalls lead the 15 broader platforms that also cover it. The list is ordered by how many of the same 14 capabilities each vendor documents in public sources, and no vendor pays for placement.
- How much do AI agents for real estate cost?
- 9 of the 18 researched vendors publish their prices, so a team can see plans and start without a sales call. 9 sell by quote through a sales team. Each vendor profile on Agentic Index lists the pricing model and any published prices.
- Can AI agents for real estate run in a private cloud or on premises?
- The 18 researched vendors run as cloud services. None documents a private cloud or on premises option in public sources.
- How many AI agents for real estate are there?
- Agentic Index tracks 18 AI agents for real estate. Every one is researched from public sources and listed on this page.
How this list works. A vendor is on this page when its product is built for real estate, either as its main category in the index or as a job its own materials name. The order is the number of the 14 Agentic Index capabilities each vendor documents in public sources, with full support counting more than partial support and ties broken alphabetically. The picks, the pricing counts and the deployment counts are computed from the same records. No vendor pays for placement.