Revizto Integrates Enterprise AI to Streamline Construction Data
Architecture and engineering teams often struggle with fragmented project data, forcing CIOs to choose between innovation and security. Revizto is addressing this by launching a new Model Context Protocol server and API suite, allowing organizations to connect large language models directly to live project datasets without complex custom coding.

The new capabilities allow users to query live project information using platforms like ChatGPT, Claude, and Microsoft Copilot. By providing a secure bridge between Revizto and these AI tools, the platform enables project managers to automate manual tasks, such as tracking fire door certifications or identifying unresolved clashes on specific building levels, in seconds rather than hours of spreadsheet analysis.
For technical teams, the Model & Object Properties API offers real-time access to metadata, including material types and quantities, which can be fed directly into procurement or carbon-tracking systems. This shift moves the model from a static deliverable to a dynamic tool for daily operations. Nathan Beplate, Senior Digital Engineering Manager at John Holland Group, noted that these endpoints enable consistent, automated quality auditing at scale, effectively removing time-intensive manual interactions that have historically slowed delivery.
These integrations arrive as industry leaders prioritize technology consolidation. According to the company's 2026 report, 39% of construction firms plan to simplify their technology stacks to combat tool sprawl and data silos. By utilizing a standard OAuth 2.0 developer portal, Revizto aims to provide a centralized layer of intelligence, ensuring that sensitive project data remains under corporate control while still being accessible to modern AI workflows.
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