Blog AI for Real Estate
By: Pam Ennis
Best AI Tools for Real Estate Investors to Boost ROI and Efficiency
Best AI Tools for Real Estate Investors to Boost ROI and Efficiency
Jun 16, 2025

As the real estate landscape becomes increasingly competitive, investors are turning to artificial intelligence (AI) tools to gain a data-driven edge. From underwriting and lease abstraction to predictive analytics and portfolio optimization, AI is redefining how investors operate.

In this guide, we’ll explore the best AI tools for real estate investors, explain how they improve returns, and offer insights on choosing the right solutions.

This post is part of a comprehensive series on AI in Real Estate Investing.

Why AI Is Critical for Real Estate Investors in 2025

In a world where every basis point matters, AI helps investors:

  • Uncover hidden patterns in rent rolls, leases, and financials
  • Automate time-consuming tasks like underwriting and due diligence
  • Reduce risk through better forecasting and data quality checks
  • Make faster, more confident investment decisions

According to a 2023 emerging trends in real estate report by PwC, AI adoption in real estate is accelerating, particularly in data-intensive tasks like valuation and investment modeling.

Top AI Tools for Real Estate Investors

1. Kolena – AI Agents for Business Workflows

Best for: Lease abstraction, investment memos, and underwriting automation

Kolena is a powerful AI platform that helps investors extract structured insights from PDFs, emails, spreadsheets, and scanned documents. Whether you’re processing offering memorandums, G702/G703 forms, or utility bills, Kolena’s agents automate document understanding with a high degree of accuracy.

Key capabilities:

  • Custom AI agents built without code
  • Real-time extraction from rent rolls, leases, and P&Ls
  • Enterprise-grade data validation workflows

Explore Kolena’s AI tools

Kolena website image

2. Reonomy (by Altus Group) – Property Intelligence and Ownership Data

Best for: Market research and off-market prospecting

Reonomy uses AI to connect property-level data with ownership records, sales comps, and loan histories. Investors can use it to identify undervalued assets, discover ownership portfolios, and analyze neighborhood trends.

Key features:

  • Machine learning-powered search filters
  • Nationwide coverage of commercial real estate
  • Integration with Salesforce and Excel exports

Learn more about Reonomy

Reonomy landing page image

3. Cherre – Data Integration for Real Estate

Best for: Portfolio-wide performance analysis

Cherre connects internal and external data sources—leases, property management systems, financials—into one platform. Its AI models analyze trends across your portfolio, flagging anomalies and surfacing growth opportunities.

Ideal for:

  • Institutional investors managing dozens to hundreds of assets
  • Running automated compliance and performance reports

Cherre’s data platform

Cherre website image

4. Zillow AI + Zestimate API

Best for: Residential real estate investors and flippers

Zillow’s AI-powered Zestimate tool now offers API access for investors. It delivers granular home value estimates, historical price trends, and localized demand forecasting.

Best used for:

  • Flipping decisions
  • Short-term rental pricing
  • Residential market entry evaluation

Zillow Zestimate

 zillow Zestimate website image

What to Look for When Evaluating AI Tools

Choosing the right AI solution requires more than shiny tech. Here’s what matters:

Use Case Alignment: Match the tool with your pain point—document overload, underwriting speed, or asset-level forecasting.

Data Privacy & Compliance: Make sure platforms are SOC 2 compliant and offer audit trails, especially when handling sensitive financial or legal documents.

Integration & Usability: Favor tools with no-code interfaces, Excel/Google integrations, or APIs for connecting with your existing stack.

Future Outlook

AI adoption in real estate is still in early innings. Expect continued progress in:

  • Multimodal AI (analyzing text, image, and geospatial data together)
  • Real-time valuation updates based on market shifts
  • Automated ESG scoring and climate risk assessments

According to McKinsey, AI and advanced analytics could unlock over $110 billion annually in CRE productivity gains (McKinsey on AI in Real Estate).

Final Thoughts

AI isn’t just for tech giants. In 2025, it’s become a must-have advantage for real estate investors seeking to stay ahead of the curve. The best AI tools help you scale faster, reduce risk, and boost returns—all while freeing your team to focus on strategy.

Explore how Kolena and others are changing the investment game with intelligent automation and insight extraction.

Jun 16, 2025