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Proptech
Business Honor
21 May, 2025
Data Army rebrands Proptech Cloud as Data Army Intel to expand beyond real estate into broader data-driven industry solutions.
Data Army has rebranded its Proptech Cloud data and knowledge-sharing platform to Data Army Intel, with a launch of an extension of its services catering to non-real estate sectors. The newly named platform will retain its real estate-focused features but extend its functionalities to other sectors.
Since its launch in 2023, Proptech Cloud has enrolled hundreds of active customers in the real estate sector, where it provided vetted property tech information and knowledge content. Following the new rebranding to Data Army Intel, the platform will offer more comprehensive services that will enable businesses from various industries to utilize data-driven intelligence to drive innovation, operational effectiveness, and business expansion.
One of the most distinctive aspects of Data Army Intel is Snowflake Marketplace integration. The users are given access to qualified datasets to complement their business. The datasets can be used to support available in-house data, opening new doors for decision-making through data, efficient processes, and cost savings.
The platform is also equipped with artificial intelligence (AI) and machine learning (ML) solutions, making it possible for organizations to deploy innovative technologies to gain better insights and remain competitive.
While diversifying into other sectors such as retail and finance, Data Army Intel still specializes with keen interest in real estate, still offering insightful data and reports for the property industry. With a growing set of how-to guides, knowledge pieces, and sector-specific datasets, Data Army Intel allows users to easily access rich resources to make better, well-informed decisions within their companies.
The firm has designs on global expansion, starting with territories that already have their public domain datasets, solidifying its stance on data democratization and enabling organizations to tap the full potential of their data.