Realmo, a commercial real estate intelligence platform, has launched a new AI-powered assistant designed to transform how users search for and evaluate commercial properties. The assistant allows users to simply describe what they are looking for, such as a specific budget, location, or business type, and instantly receive a tailored selection of matching listings.

The launch marks a significant step in applying artificial intelligence to property search and analysis. By processing user queries in natural language, Realmo’s assistant identifies and recommends commercial spaces that best align with the user’s requirements, including rental price, property features, accessibility, and proximity to key landmarks.

For example, users can input a request like: “Find a retail space under $3,000 per month in a high-foot-traffic area in downtown Boston, suitable for a coffee shop and near a university campus.” The AI system then scans its database of over nine million properties and produces a refined shortlist complete with detailed analytics and data-driven insights.

The company said the new feature aims to “provide faster search options and give users access to the kind of detailed property analysis that may have been limited before.” By reducing time spent browsing random listings, the assistant enables investors, business owners, and brokers to focus on high-potential properties more efficiently.

Industry analysts view Realmo’s move as part of a wider shift towards technology-led transparency in commercial real estate. Advanced AI modeling and predictive tools are helping identify market trends, demand-supply gaps, and optimal property uses. Platforms like Realmo, which leverage data and machine learning, are playing a growing role in creating smarter, more informed property ecosystems.

Realmo’s system combines AI with real-time analytics to ensure that decision-making in property investment is increasingly based on quantifiable insights rather than intuition. The company’s latest development highlights its mission to enhance efficiency, accuracy, and transparency across the U.S. commercial property market.