Buildots, a AI company for construction technology, and revisso, an integrated collaboration platform for the construction industry, have announced strategic integration that aims to improve the skills of both platforms.

Cooperation should enable construction teams to centralize problem management and to rationalize workflows for tree management.
With this integration, the companies show that the construction teams can use the comprehensive AI -controlled performance tracking and analysis of buildings and at the same time use revicity for project communication and cooperation.
The teams should be able to easily export design problems, which are identified by the AI-based trial tracking system from Buildots in revicating, using the BCF format from industry standard. Each exported problem contains detailed documentation, e.g. B. Photo snapshots that were recorded by buildings and precise areas within the BIM model.
“This integration represents a step forward in our mission to help the construction teams to deliver on time and budget through data -controlled knowledge,” said Roy Danon, co -founder and CEO of Buildots.
“By combining these findings directly with the Collaboration platform of ReviCTO, we offer teams from the end to the end of a simple, uniform workflow for problem management so that they can work together and solve problems more effectively than ever. “
The most important characteristics of integration include centralized output management across platforms, an extensive visual context with practical photo documentation, the export of construction sets set out design deviations via BCF integration and precise BIM model location access to every problem.
“Building teams need effective opportunities to identify and alleviate potential problems before they violate the ground. With a revisso you can automatically recognize clashes in the design phase so that you can carry out expensive project delays and transmission, ”added Arman Gukasyan, founder and CEO of ReviGTO.
“Integration with buildots brings the performance of AI-controlled predictive analyzes directly into our platform and helps the teams to maintain better project monitoring and work more efficiently.”