The platform functions by unifying disparate streams of facility data—including reality capture and enterprise workflows—into a shared operational view. By embedding AI directly into the data foundation, LiveTwin allows organizations to automate complex tasks without forcing them to abandon or replace their existing technological investments. Early adopters have already deployed the solution across more than 1,400 facilities, covering 30 million square feet of managed space. According to initial performance reports, some users have experienced operational improvements exceeding 20 times those of their previous legacy systems, with onboarding times reduced to minutes.

Rod Malehmir, Chief Technology Officer at Michael Baker, noted that the industry’s primary struggle is not data generation, but the inability to connect siloed information. LiveTwin aims to solve this by contextualizing data, enabling owners to anticipate needs and prioritize investments across the entire asset lifecycle. As part of the broader digitalMBI innovation ecosystem, the platform works in tandem with the firm's enterprise AI tool, Titan, to provide a scalable framework for engineering and infrastructure management.