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Real estate intelligence startups are solving a major problem by replacing outdated spreadsheets and guesswork with real-time data.
Companies like Deckard and ZestyAI show how AI is being used to track rental activity and assess risks.
The sector is growing steadily with 104 startups, including 48 funded firms and 24 at the Series A+ stage, showing strong investor confidence.
For years, real estate professionals have relied on gut feelings and outdated spreadsheets to make multi-million-dollar decisions. In a market where a single bad investment or an uncalculated risk can lead to huge losses, the lack of real-time, accurate data is a constant source of stress.
Currently, 104 startups are solving these specific problems through real estate intelligence. 48 of these firms are already funded, and 24 are reaching Series A+ status. The sector is rapidly maturing. The United States leads with 45 companies, followed by Canada with 8 and Australia with 7.
Here are the best real estate intelligence companies to watch for this year.
Founded in 2018 and based in San Diego, Deckard focuses on AI-powered market intelligence. It helps track short-term rental activity like bookings, licenses, and tax compliance.
Another key feature includes identifying unreported property changes, which supports government and compliance teams. Deckard has raised $6.64 million so far and reached the Series A stage in May 2023. The firm is backed by investors such as Loeb.nyc and Cannoli Ventures.
ZestyAI, founded in 2018 and based in Oakland, builds decision intelligence tools for the insurance sector. The firm’s platform combines property data, AI models, and automation to improve risk assessment. It covers risks like wildfires and storms using climate data and past loss records. ZestyAI is a leader in its category, with $46 million in total funding and at the Series B stage. Investors include Centana Growth Partners and BlaMar.
CRE Matrix offers deep analytics for both residential and commercial real estate. It was founded in 2016 and is located in Mumbai. It uses machine learning to process large datasets across areas like pricing, occupancy, and project timelines. The company has raised $1.01 million and is currently at the seed stage. Investors include Sotheby’s International Realty and Realpro Realty Solutions.
Also Read: What is an AI-First Company and How it Operates
PriceHubble, founded in 2015 and based in Zurich, delivers SaaS solutions for real estate valuation and forecasting. The company collects data from transactions, listings, demographics, and location insights to offer accurate property analysis. PriceHubble has built a solid foundation in Europe, with $34 million in funding and at the Series B stage. Investors include Swiss Life and Yttrium.
Founded in 2016 and headquartered in London, OneDome offers data analytics and workflow tools for real estate professionals. The firm’s platform gathers data from sources like municipal records and integrates it into property listings. OneDome has raised $46.9 million and reached Series B as of February 2026. Investors include Evolve Ventures and Channel 4 Ventures.
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Real estate is now focused on data as much as location. The above-mentioned leaders show that the industry is moving toward total transparency. By using AI to track risks and predict values, these firms help buyers and sellers avoid big financial mistakes.
Funding levels and growth stages also show steady progress in different regions.
Companies that focus on clear use cases and simple tools may win in the long run. The mix of AI and real-world data will likely shape how property markets work in the coming years.
1. What is real estate intelligence?
Real estate intelligence refers to the use of data, analytics, and AI tools to make better property decisions. It helps investors, agents, and developers understand market trends, risks, and pricing. This is important because real estate deals involve large amounts of money. With better data, people can avoid costly mistakes and make more informed choices.
2. How do companies like Deckard help the market?
Deckard focuses on tracking short-term rental data, including bookings and compliance, which helps local authorities and investors. The firm help users understand the market better and make smarter decisions based on real data instead of assumptions.
3. Why is AI popular in real estate?
AI is becoming popular because it can analyze large amounts of data quickly and accurately. It helps predict property values, assess risks, and identify trends that humans may miss. This makes the decision-making process faster and more reliable. As markets become more complex, AI tools are becoming essential for staying competitive.
4. Which regions are leading in real estate intelligence startups?
The United States leads with 45 companies, followed by Canada with 8 and Australia with 7. These regions have strong tech ecosystems and access to funding, which helps startups grow faster. However, countries like India and Switzerland are also emerging as important players with companies like CRE Matrix and PriceHubble.
5. What is the future of real estate intelligence?
The future of real estate intelligence looks promising as more companies adopt AI and data-driven tools. The focus will be on improving transparency, reducing risk, and enabling real-time decision-making. As technology improves, these tools will become more accurate and widely used, helping both small and large players in the market.
