Reonomy vs. RealEstateAPI (REAPI)

Accessing a wealth of varied data has never been easier. Our advanced machine learning algorithms bridge the gap between the previously unconnected realms of commercial real estate, offering valuable insights into properties. The absence of a standardized language for information sharing and collection has long left commercial real estate data disjointed and disconnected. However, our machine learning technology can integrate data from diverse sources, reformatting it through our universal identifier, the Reonomy ID. This innovation enables you to resolve different records simultaneously while enhancing your database with the same capabilities. The Reonomy ID, driven by Artificial Intelligence, reveals the full potential of your commercial real estate database. It accurately links all records, including those that may have been lost, to their appropriate sources with clear identifiers. As a result, you can delve deeper into the existing data you possess and unlock new opportunities for analysis and decision-making.

RealEstateAPI (REAPI) serves as a robust platform for big data, offering clients swift and adaptable APIs that facilitate access to extensive property information. Our innovative 'Smart API System' enhances the speed of development by providing both data and a well-structured framework. A diverse spectrum of clients, including startups and large publicly-traded firms, utilize our APIs to build SaaS solutions, train artificial intelligence models, and swiftly derive insights. Customers from various sectors, such as proptech, home services, and fintech, rely on our technology to obtain comprehensive financial and physical information about 159 million properties nationwide. By utilizing our solutions, businesses can rapidly expand their operations while simultaneously mitigating risks and minimizing the costs typically associated with traditional data handling methods. This capability not only boosts efficiency but also transforms how companies engage with real estate data.