AI for Brokerage & Transactions

AI assistant Ava reads executed purchase contracts, including handwritten ones, extracts parties, dates, financials, and contingencies, then auto-builds transaction deadline timelines. Ava also watches the agent's connected inbox, matches each email to the right deal, and drafts replies and status updates.

Smart Suite bundles SkySlope's AI features across the transaction, automating contract data entry, document routing, compliance review, and brokerage reporting.

Upload a purchase-agreement PDF and Trackxi AI extracts names, prices, dates, and contingencies to pre-fill and build the transaction. A separate AI Assistant answers natural-language questions about a deal's status.

DocJacket extracts parties, dates, sale price, and contingencies from an uploaded purchase agreement, then builds the transaction timeline and task checklist automatically. The agent approves each AI-prepared action before anything sends.

Layers AI over the tools brokerages already run (SkySlope, Dotloop, Brokermint, Gmail, Google Drive) instead of replacing them, reading and validating contracts, extracting deadlines, classifying documents, and monitoring compliance, with trained human assistants reviewing the edge cases the AI flags.

Lucy, Rechat's embedded AI assistant, draws on an agent's contacts, MLS data, brand guidelines, and deal pipeline to generate marketing, answer transaction questions, and capture client conversations from voice or text commands.

Lofty layers an agentic 'AI Workforce' across its real estate CRM, IDX websites, and lead-generation tools, automating lead scoring, outreach, and seller-lead discovery.

Structurely runs a conversational AI inside-sales agent ("Aisa Holmes") on a custom-tuned GPT model that holds two-way conversations with real estate leads, qualifies them, and hands agent-ready leads to the team.

PARES AI gives commercial real estate brokers and investors one platform to source, track, underwrite, and market deals, with AI agents that draft underwriting and marketing materials.

B.Claw is an agentic AI assistant for real estate agents that reads the inbox, drafts client replies, prepares CMAs from MLS comps, and acts across connected tools from plain-English requests.

Folio uses patented AI to detect a real estate agent's active transactions inside Gmail or Outlook and organize the related emails, documents, and deadlines into Smart Folders, then uses DocGPT to summarize contracts and auto-populate transaction timelines.

Follow Up Boss is a real estate CRM that builds AI into its calling and follow-up tools so agents respond faster and stay on brand.

Unlisted builds profiles for off-market homes from public records and uses predictive modeling to rank properties by how likely each is to sell and how well it fits a buyer's preferences. A ChatGPT-powered search lets buyers describe what they want in plain language and converts it into structured property queries.

Ylopo runs AI voice and AI text agents that call, text, and qualify real estate leads around the clock, then live-transfer ready buyers and sellers to the human agent.

Spaceflare deploys AI agents that search buildings, tenants, rooftops, and infrastructure across map areas from a plain-language prompt, then generate property reports with comps, CAP rate and NOI estimates. The agents also extract answers from city permitting and zoning rules and build spreadsheets covering thousands of buildings and tenants.

Casafy's vision engine analyzes Google Street View imagery across 159M+ US properties to detect condition signals like roof wear, structural issues, and landscaping quality, then classifies property type and architectural style. Per the vendor, it can process tens of thousands of properties in seconds once an area is scanned, enabling natural-language search by visual cue plus comps and skip tracing.

Leadflow's Sellability Score, now in its 11th generation, runs three independent machine learning models retrained monthly and back-tested against actual outcomes to rate each property 0 to 1,000 on its likelihood to sell within 90 days, split into Retail, Rental, and Wholesale scores. The company says marketing to AI-scored leads raised seller response rates by 271 percent versus a general list.

DealJoy scores homeowners by signals such as estimated equity, length of ownership, loan type, and absentee or tired-landlord status to surface likely sellers, then uses AI to write property-specific outreach emails. Per the vendor, agents claim an exclusive ZIP code and the system contacts up to 1,000 homeowners per month, replacing unsubscribes automatically and routing replies to the agent's inbox.

PropertyPulse.AI applies machine learning to public and proprietary data such as equity position, mortgage details, and local market signals to forecast which properties are likely to be listed within the next 120 days, surfacing seller leads before they hit the market. The vendor claims 85% prediction accuracy and roughly 100 leads per zip code. A Co-Pilot assistant then automates outreach across AI-driven social ads, personalized video, email sequences, voicemail drops, and handwritten cards.

Spectre's Propensity to Sell model scores UK properties on how likely they are to come to market, so agents direct prospecting at the highest-intent owners. Spectre AI, the vendor says trained on billions of data points from millions of agent campaigns, automatically selects which properties to contact for direct mail and reports a 2.4x return on investment.

ListingAI generates MLS-ready listing descriptions, social posts, CMAs, and marketing copy from leading large language models (Anthropic Claude, OpenAI GPT, Google Gemini) accessible in one account. It also runs virtual staging, furniture removal, and video generation on property photos, and scans every description against the Fair Housing Act to flag risky language and suggest compliant alternatives. The vendor reports 31,000+ users across 20+ countries and 59,000+ listings created.

Buildout applies AI across the CRE deal lifecycle for brokers. Its listing assistant "AL" drafts property and location descriptions using OpenAI's API and refines them as brokers edit. AI also surfaces likely-to-sell owners for prospecting, structures property and contact data automatically, and runs repeatable deal-stage tasks across one shared data layer.

Apply Design uses computer vision to automatically remove existing furniture from a property photo and generate photorealistic staged interiors. Users upload a 2D or 360 image of a vacant or furnished room, pick a style, and the AI produces a furnished render in about 10 minutes, with a drag-and-drop editor for revisions.

Deli embeds an AI-native search experience on a brokerage's website that turns a buyer's plain-language description of the home and lifestyle they want into matching listings. It pairs the brokerage's live MLS feed with Deli's own places and property data, so consumers search conversationally instead of using dropdown filters.

HubRE.AI builds AI agents for real estate firms. Hub Interact qualifies leads and answers client questions through a conversational chatbot, HubDocs AI reads and audits transaction documents for compliance, and HubRE Data aggregates property, demographic, and geospatial data into a queryable lake.

Gravitate pulls commercial listings from the browser into structured spreadsheets, drafts verification emails, and builds client-facing market surveys, turning hours of broker prep into minutes. It runs on Claude, ChatGPT, and Gemini, and lets clients paste surveys into those models for side-by-side comparisons.

GatherGov ingests local government meetings across 6,200-plus US municipalities and turns the audio and documents into a searchable knowledge graph. AI transcribes meeting recordings, parses permits and zoning records, and extracts entitlements, project applicants, and decision-maker activity. Users search any keyword across jurisdictions to surface development pipeline, entitlement risk, and policy shifts before they reach mainstream data sources.

Alma is an OpenAI-powered assistant built into DealMachine that analyzes individual properties for investors, estimating value, repair costs, ARV, and cash flow and flagging whether a deal fits their strategy. It also drafts cold-call scripts, texts, and letters to property owners and suggests negotiation tactics.

Deal Manager AI runs the CRE deal lifecycle from sourcing to close with AI-assisted underwriting, document generation, and a voice assistant that handles inbound calls and schedules tours. A multi-model chat (ChatGPT, Perplexity, Gemini) drafts LOIs and PSAs, abstracts leases, and runs market research, while spreadsheets sync to live deal data.

GoDubai Portal AI scores every Dubai off-plan project from 1 to 10 using a proprietary algorithm built on the Analytic Hierarchy Process and verified Dubai Land Department data, rating each project on end-user suitability, investor growth potential, and rental yield. A second AI layer screens and verifies broker leads against capital and intent criteria before a human confirms them.

Crexi runs an AI suite across CRE deal prep. Crexi Create generates offering memorandums from uploaded financials, leases, rent rolls, or a property address. Crexi Vault extracts 24+ key data points from OMs into structured, searchable records. Market Analytics compiles market reports from proprietary and third-party data, and Bulk Data Enrichment returns verified ownership, contacts, and transaction history for address lists.