French-American scale-up Cintoo, a leading cloud-based reality data management solutions provider, secured €37 million in Series B funding. Partech led the round, which included existing investors Amavi Capital and Armilar Venture Partners.
The fresh capital will help Cintoo enhance its SaaS platform by expanding integrations and strengthening its offerings for the construction and industrial sectors. The company plans to accelerate its AI and Metaverse initiatives while growing its presence in the US and European markets.
Changing how industries handle massive 3D scan data
Founded in 2013 by Dominique Pouliquen, Leonardo H. Fonteles, Denis Thibaudin, Anis Meftah, and Marc Antonini, Cintoo tackles a crucial challenge in modern industry: managing enormous amounts of 3D data from reality capture devices. Their platform helps architecture, engineering, construction, and Industry 4.0 companies work with data from various scanning devices – ground-based, mobile, or drone-mounted.
The founders’ vision and innovative solutions transformed 3D scanning. They recognised its potential to transform industries, but the resulting data files (called ‘point clouds’) were challenging to handle, view, and share. Their solution was a cloud-based platform that makes this data accessible for applications like Building Information Modeling (BIM) and Digital Twins. Cintoo’s clients can scan entire buildings and design or monitor work remotely, reducing the need for frequent site visits.
Cintoo stands out in the competitive 3D scanning and reality data management landscape with its unique compression and accessibility approach. As CEO Dominique Poulinquen explained to the TFN, “Our core technology transforms laser scanner data from point clouds into 3D surfaces, similar to video games. This compresses the data by 10 to 20 times while maintaining accuracy. The resulting ‘mesh-based’ scans require less storage space and can be quickly streamed in any web browser.”
The platform supports various data formats and runs on Microsoft Azure and Amazon Web Services, ensuring enterprise-grade security with SOC 2 Type 2 compliance and ISO 27100 certification.
Behind Cintoo’s tech: Industrial Metaverse and TurboMesh
Cintoo’s technology portfolio includes two standout features:
Cintoo Metaverse creates immersive industrial environments that combine real-world scans (like factories or power plants) with 3D animations (like working avatars or moving vehicles). These virtual spaces enable safety training, equipment installation planning, construction quality checks, and multi-user collaboration in true-to-scale environments. As Pouliquen said, “These industrial metaverse experiences put humans in the loop when multi-user collaboration and immersion at scale are needed. It’s the new generation of virtual reality with a graphical representation of the real world that has never been seen before.”
TurboMesh Engine is a powerful browser-based rendering system with a ‘teleport’ camera feature. This allows users to navigate massive job sites virtually, like Google Street View, with professional-grade accuracy. The engine preserves the scanner’s original resolution while ensuring smooth navigation. “TurboMesh can render any new virtual vantage point so users can navigate huge job sites as in video games,” Pouliquen added.
Future vision: innovation is key
Cintoo focuses on key growth areas. The company maintains hardware flexibility for reality capture technology while developing AI-powered scan data interpretation. They are expanding platform integrations for comprehensive Digital Twin workflows and advancing XR capabilities through the Cintoo Metaverse portfolio. Cybersecurity remains a top priority, with ongoing efforts to strengthen measures protecting critical client data.
The company’s commitment to innovation and security positions it to maintain its 3D reality capture leadership. Expanded funding will accelerate these initiatives across global markets. Its future success depends on how effectively it navigates obstacles while capitalising on strengths and opportunities.
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