Bentley Systems, Incorporated, a global provider of software and digital twins services for advancing the design, construction, and operations of infrastructure, announced the acquisition of Keynetix, a UK-headquartered provider of cloud-based software for capturing, visualizing, modeling, and sharing of geotechnical data.
The addition of Keynetix software expands Bentley’s geotechnical offerings and accelerates Bentley’s vision of enabling subsurface digital twins for infrastructure projects and assets.
Subsurface digital twins can be vital for assessing and managing risks in infrastructure projects, and to the planning, design, construction and operations of infrastructure assets, according to Bentley. The creation and curation of subsurface digital twins involves modeling the underground environment (geology, hydrology, chemistry, and engineering properties, and the underground infrastructure), and utility networks, structures, and tunnels – and then analyzing and simulating the subsurface behavior.
Supplementing borehole reports managed by Bentley’s gINT software, Keynetix’s cloud-based geotechnical knowledge management system captures and manages underground environment information for Bentley’s geotechnical analysis applications, PLAXIS and SoilVision.
“Infrastructure professionals know that the geologic, hydrologic, chemical and engineering properties of a potential project site, and the infrastructure assets buried beneath the soil, roads, and other structures represent some of the greatest risks to infrastructure project safety, budgets, and schedules,” said Bob Mankowski, vice president and business unit executive of digital cities for Bentley Systems. “Having a subsurface digital twin – a 3D representation of the subsurface coupled with models to analyze and simulate behavior – will be immensely valuable in all phases of the asset lifecycle. The Keynetix team and their technology bring decades of experience and cutting-edge cloud services to Bentley’s already strong geotechnical portfolio – gINT, PLAXIS, and SoilVision – and will accelerate the progress of our vision for subsurface digital twins.”