20 AI Real Estate Companies & Startups to Watch (2026)

The AI real estate sector spans six workflow categories: property valuation, video and visual marketing, CRM and lead intelligence, property search and data, analytics and investment, and transaction operations. Each category has a cluster of active companies, several of which raised over $100 million in the last two years.

This directory covers 20 active companies grouped by what they actually do, so you can match each tool to a specific gap in your workflow. Funding snapshots follow the listings, and the final section maps each category to the agent, broker, or investor who needs it most.

How we grouped them

Six categories cover the full real estate workflow, from pricing a property to closing the transaction. Each company is assigned to the category where it delivers its core function.

Valuation and listings tools price and describe properties. Video and visual tools produce the marketing assets. CRM and lead intelligence tools manage the pipeline from first contact to signed agreement. Search and data tools surface buyer and seller signals before they become leads. Analytics and investment tools model portfolio opportunity at scale. Operations tools move the transaction from contract to close.

A company may overlap two categories. Compass, for example, combines an agent CRM with an AI-powered consumer search portal. Each entry below is assigned to its strongest, most specific use case.

The real estate ai software guide maps the broader software landscape for agents who want to understand how these categories connect.

20 AI real estate companies by category

Twenty companies, organized by the workflow stage they address. Each entry names the company, states what it does, and identifies the professional who gets the most from it.

Valuation and listings

HouseCanary runs AI-driven automated valuation models (AVMs) across 114 million US residential properties. Lenders, mortgage servicers, and investors use it to price portfolios and flag at-risk loans. HouseCanary was acquired by CoStar Group.

Quantarium builds condition-adjusted AVMs through its Quantarium Valuation Model (QVM), combining machine learning with field photo analysis for equity-lending and REO use cases. Founded in 2015 in Redmond, WA, Quantarium partners with ProxyPics and Valligent Technologies to deliver drive-by condition data at scale.

Restb.ai uses computer vision to analyze listing photos, auto-tagging over 150 property features and auto-populating MLS fields. It is integrated into 17 MLSs and reaches 720,000 US agents, automating image quality scoring and feature-based description generation.

Compass is the largest US brokerage by sales volume, with a voice-activated AI assistant that helps agents draft outreach, prep listing presentations, and pull comparable sales. Compass raised a $370 million secondary round led by SoftBank in June 2025 and carries a $10.2 billion valuation.

Video and visual marketing

PropFade converts a set of listing photos into three ready-to-post video formats (9:16 for Reels and TikTok, 1:1 for the feed, 16:9 for the listing page) in about two minutes. The AI drafts a voiceover from the listing facts, adds captions, and syncs music. No filming or editing experience is required. For the full workflow, see the real estate video hub and the ai real estate video editor page.

Matterport built the 3D digital twin format that property listings now rely on, processing floor plans and spatial data from a scan into immersive virtual tours. CoStar Group acquired Matterport for $1.6 billion in 2025. Matterport’s capture library covers millions of scanned properties worldwide.

Styldod delivers AI-powered virtual staging, clutter removal, day-to-dusk photo conversion, and image retouching for over 25,000 real estate professionals. Virtually staged homes from Styldod start at $16 per image.

REimagineHome generates AI-staged images of empty rooms and renovation previews, letting buyers visualize different furniture layouts and finish combinations before setting foot in the home. It was founded by the Styldod team and focuses on buyer-persona style matching.

CRM and lead intelligence

Lofty (formerly Chime) combines IDX websites, a lead generation engine, CRM, and AI-automated follow-up into a single platform for agents and brokers. It rebranded in 2024 and positions itself as an agentic AI operating system for the full agent workflow.

Structurely runs AI-powered SMS and email lead qualification, responding to new leads within seconds and booking appointments without agent involvement. Structurely reports a 15 percent lead-to-appointment conversion rate on its AI sequences, compared to roughly 5 percent for manual follow-up.

CINC (Commissions Inc.) manages over $30 million in annual Google and Meta ad spend on behalf of more than 50,000 agents, combining paid-search lead generation with an AI-assisted CRM. The company launched a Guaranteed Sales Program in 2024.

Sierra Interactive combines IDX websites, a full CRM, AI-powered follow-up automation, and paid ad management for teams and brokerages. The platform serves 2,300 customers and is built for high-volume lead operations with multiple agents sharing a pipeline.

Search and data

Opendoor uses machine learning to price homes and make instant cash offers, removing the traditional listing-to-close cycle for sellers who prioritize certainty over maximum price. Founded in 2014, Opendoor trades on NASDAQ (OPEN) and raised $325 million in convertible notes in September 2025 as it pivots to an asset-light AI-driven model.

Homebot delivers monthly AI-powered homeownership reports to a lender or agent’s entire client database, calculating home equity, estimated sell price, and refinance windows. Its predictive model surfaces which homeowners are most likely to sell within the next nine months, giving agents a proactive outreach trigger.

Analytics and investment

Reonomy aggregates 300 or more commercial real estate data sources into a single search and analysis platform, letting brokers and investors identify off-market properties and track ownership changes. Reonomy raised $130 million total, including a $60 million Series D, and was acquired by Altus Group in November 2021 and continues to operate as a division.

CompStak crowdsources commercial lease comp data from brokers and appraisers, giving investors and asset managers verified transaction data across office, retail, and industrial markets. The platform has raised $78 million from investors including Morgan Stanley and Canaan Partners.

Parcl aggregates real-time housing supply, demand, and price data from more than 5,000 sources, tracked at the zip-code level for institutional investors and hedge funds. The company raised $13.3 million total across a seed round and a Series A completed in May 2022.

Operations and automation

Glide handles the document, e-signature, and task management layer of residential transactions, removing roughly 20 hours of administrative work per deal. More than 60,000 agents use Glide on over $100 billion in annual home transactions.

Buildout provides CRM, marketing automation, and deal management for commercial brokerages, combining listing publication with pipeline tracking in a single platform. Its AI-enabled mobile app launched in May 2024, and the company expanded its footprint through a Sperry Commercial partnership in March 2025.

EliseAI automates leasing, resident communication, and property management workflows for multifamily operators using conversational AI across SMS, email, and chat. EliseAI raised $250 million in a Series E in August 2025, bringing total funding to over $392 million.

Funding and traction snapshot

The most heavily capitalized AI real estate companies in this directory are concentrated in three categories: brokerage and CRM, multifamily operations, and 3D visualization. Global proptech investment reached $16.7 billion in 2025, a 68 percent year-over-year increase, according to Commercial Observer’s 2025 proptech funding review.

Funding data is sourced from public filings, Crunchbase, and verified press releases. Companies with undisclosed rounds are marked Growth stage or Bootstrapped. Valuation figures reflect the most recently reported round.

Common mistakes agents make when evaluating these tools

Most agents choose the wrong AI real estate tool by matching on category name rather than specific output, then abandon it within 90 days. Four patterns account for the majority of those failed rollouts.

Picking a tool before identifying the bottleneck. If lead volume is fine but follow-up speed is slow, a CRM platform like Structurely or Sierra Interactive solves the problem. Buying a lead-generation platform like CINC adds cost without addressing the actual constraint.

Treating AVM platforms as a substitute for comps. HouseCanary and Quantarium are accurate across large portfolios but carry model error at the individual-property level, especially for unusual floor plans and properties with recent renovations. Use them to anchor a pricing range, then verify with local sold data.

Publishing only one video format per listing. PropFade produces three formats from a single photo set in about two minutes. Publishing the 9:16 cut to Reels, the 1:1 cut to the feed, and the 16:9 cut to the listing page extracts three or four times the platform reach from a single export. Agents who publish only the landscape cut leave two distribution channels unused.

Skipping the CRM integration step. Homebot and Restb.ai output high-quality seller and buyer signals, but those signals have no value unless they reach the agent’s CRM automatically. Map the data handoff before committing, because manual exports are not sustainable past the first month.

The best ai tools for real estate agents guide ranks the tools in this directory by use case, which makes the bottleneck-matching step significantly faster.

Tips for getting more from AI real estate tools

AI real estate tools pay off fastest when each one owns a single workflow stage and passes a clean output to the next. Running three tools that each claim to do everything creates data overlap and no clear owner for each step.

Start with the stage that costs the most time. For most agents, that is either lead follow-up (CRM tools) or listing marketing (video and visual tools). Add one tool, measure the result over 30 days, and expand from there.

Connect tools where APIs or native integrations exist. Sierra Interactive syncs lead data with Google Ads. Restb.ai sends photo-tagged property data to the MLS automatically. Homebot exports seller-likely contacts to a CRM. Those handoffs run without manual intervention once configured.

Build a consistent photo library for video and visual tools. Photo-to-video platforms produce the best output from 15 to 20 photos with good natural light. A 20-photo standard per listing ensures a usable video on the first export with no re-uploads.

According to the National Association of Realtors, AI adoption among NAR members is growing fastest in data analysis and property valuation. Agents who apply those categories first see the earliest measurable return because both tasks involve high-frequency, repeatable work that AI handles consistently.

The free ai tools for real estate agents page maps the no-cost entry points for agents who want to test a category before committing to a paid platform.

Who should prioritize each category

Agents, brokers, and investors each have a different center of gravity in this directory. Matching your role to the right category avoids spending time evaluating tools built for a different job.

Agents get the highest leverage from video and visual tools (listings move faster with video), CRM and lead intelligence tools (pipeline management is the core of production), and search and data tools for homeowner outreach. PropFade, Structurely, and Homebot address the three highest-frequency daily tasks for most producing agents. For a broader look at the whole toolkit, the ai for real estate agents hub covers the full category landscape.

Brokers and teams add compounding value from the operations layer. Glide reduces the per-deal administrative burden across every agent on the roster. Lofty (for residential teams) and Buildout (for commercial shops) standardize the agent-level workflow so productivity scales with headcount rather than plateauing at the current team size.

Investors and analysts rely on the analytics category. Reonomy, CompStak, and Parcl surface off-market opportunities and model market direction at a scale that manual research cannot replicate. Institutional investors using Parcl’s zip-code-level data track supply and demand signals weeks before they appear in public MLS reports.

The six categories cover the full range of real estate roles. Start with your most time-intensive task, find the category that addresses it, and work through the two or three companies within that category before expanding.