Summary
The German company is creating digital twins, mainly for the construction sector. With many years of experience in Building Information Modelling (BIM) and the games industry, the company is creating semantic (object-based) and volumetric 3D models of buildings, infrastructure and technical equipment that are interactive, software-independent and built entirely to the clients’ specifications. They are looking for sustainable cooperation under commercial agency agreements or with subcontractors.
Description
The company creates these digital twins focussing on digitisation processes in the construction industry but also for industries as transport, energy, nuclear, telecoms, maritime, aviation and security.
Their clients are using the digital twins for example for visualisation and stakeholder engagement, impact assessment, scenario planning, simulation, process optimisation, training and gamification.
The team is built of specialists for Building Information Modelling (BIM), geographic information systems (GIS) and games industry, with over a decade of practical experience in technical 3D applications and the “gamification” of the built environment.
The company has developed a low-cost-high-quality process based on a combination of games technology and engineering expertise. With this innovative technology it is meeting the needs of the digitised industry.
The German company is already active on the international market, but with commercial agency agreements, they want to build up long-term partnerships to strengthen their competitiveness and to widen their geographical range to offer their services.
The company is also looking for subcontractors to establish sustainable cooperation.
The core of the technology is an enormous library of digital objects. Launched 15 years ago, it now includes digital representations of objects such as street furniture, building components, railway equipment, technical objects, materials and textures from around the world. This extensive object portfolio enables the semantisation of digital twins.
A self-developed tool: the non-proprietary collection of algorithms for processing input data allows the semi-automated production of 3D Augmented/ Virtual Reality Models.
The experts make use of several data input formats, but as a minimum they only require photographs or videos and reference measurements to create a semantic 3D model with an average accuracy of 10 cm. Additional data, such as laser scans, drawings, condition surveys e