A digital twin is a digital representation of a physical asset, facility or environment that reflects its real-world condition and can be updated with data over time. In reality capture workflows, 3D laser scans provide accurate as-built information that can form the foundation of a digital twin for design, construction, operations and asset management.
Reality capture is the process of collecting data from the physical world and converting it into accurate digital representations. Technologies such as terrestrial laser scanning, mobile scanning, LiDAR, photogrammetry and 360° imaging can capture existing conditions for applications including surveying, BIM, construction verification and digital twins.
A point cloud is a collection of millions or billions of 3D points captured from a physical environment. Each point contains spatial coordinates and may also include information such as color or intensity. Point clouds provide highly accurate representations of existing conditions and are widely used for surveying, inspection, scan-to-BIM and as-built documentation.
A 3D mesh is a digital surface made from connected vertices, edges and faces that represents the geometry of a physical object or environment. In reality capture workflows, point cloud data can be transformed into a 3D mesh to create a lightweight, navigable representation that is easier to visualize and share.
Point clouds represent reality as individual 3D points, while 3D meshes represent surfaces using connected polygons. Point clouds preserve the original scan structure and are commonly used for measurement and detailed analysis. Meshes provide a more continuous surface representation and can make large reality capture datasets easier to visualize, navigate and share.
BIM is primarily a structured digital representation of a building or infrastructure asset used for design, documentation and construction. A digital twin goes further by connecting digital representations with real-world asset data and conditions throughout the asset lifecycle. Reality capture can provide the as-built foundation needed to make a digital twin more accurate.
Cintoo supports a wide range of reality capture data from terrestrial, mobile and other 3D scanning workflows. Supported point cloud formats include E57, RCP, LAS and LAZ, with additional formats available depending on the workflow and Cintoo edition.
Cintoo is designed to be hardware- and vendor-agnostic. It supports reality capture data from major laser scanning manufacturers and different capture technologies. Examples include Leica, FARO, Trimble and Z+F scanners, as well as data from mobile and other reality capture workflows.
The best capture method depends on the project's size, required accuracy, environment and intended workflow. Terrestrial laser scanning is often preferred when high geometric accuracy is required, while mobile scanning and other methods can efficiently capture larger or more complex environments. The right approach balances accuracy, coverage, speed and project requirements.
Processing time depends on factors such as dataset size, number of scans, file format, project configuration and network conditions. Cintoo processes scan data in the cloud, so users can continue working through the web platform while processing takes place. Larger projects naturally require more processing time than smaller datasets.
Start by defining the required level of accuracy and areas to be captured. Identify access restrictions, safety requirements and potential obstructions, and establish survey control where needed. Clear important areas, coordinate access with site teams and plan scanner positions to achieve sufficient coverage with minimal occlusions.
Cintoo supports structured and unstructured point clouds in formats including E57, RCP, LAS and LAZ. It also supports BIM and CAD formats such as RVT, NWD, NWC, IFC, DWG, DGN, JT, STP, STEP and OBJ for relevant workflows.
Yes. Cintoo is designed specifically for managing and visualizing large reality capture datasets in the cloud. It converts point cloud data into high-resolution 3D meshes for efficient streaming and visualization, allowing teams to work with large scan datasets through a standard web browser rather than relying on local copies of the full dataset.
The right platform depends on the project's requirements, but effective cloud-based scan management should provide centralized storage, browser-based visualization, controlled sharing, collaboration and integration with existing BIM and project workflows. Cintoo is designed specifically to help organizations manage, visualize, share and use large-scale reality capture data in the cloud.
Cloud-based scan data management gives teams a centralized source of truth for reality capture data. It can reduce duplicate files and local storage requirements while making scans accessible to authorized users from different locations. It also makes collaboration, review, sharing and integration with BIM and project platforms easier.
Cintoo allows teams to share 3D reality capture data through a web-based environment, so clients and project stakeholders can review scan data through a standard browser rather than installing specialized point cloud software. Access can be controlled according to project permissions and user roles.
Yes. Cintoo is designed as a collaborative cloud platform where multiple users can access the same project and work with shared reality capture data (We support unlimited users without charging anything extra). Teams can review scans, models and project information remotely, helping stakeholders collaborate around a common source of as-built data. You can invite your partners to Cintoo as well with no extra cost.
Yes. Cintoo is a cloud-based platform for managing, visualizing, sharing and enriching laser scan and reality capture data. The platform runs on cloud infrastructure, while Cintoo Connect provides local connectivity for uploading and downloading scan data.
Cintoo uses enterprise security measures including data segregation, access management, authentication controls, encryption, backup and recovery processes, and security testing. Cintoo maintains SOC 2 Type 2 compliance and ISO 27001 certification, and supports GDPR requirements.
Yes. Because Cintoo is cloud-based, authorized users can access project data through a web browser from different locations. This enables distributed teams, consultants, contractors and clients to review the same reality capture information without requiring everyone to work from the same site or office.
A typical workflow starts by capturing the physical asset with laser scanning or another reality capture technology. The registered scan data is then uploaded, processed and organized in a digital environment. BIM/CAD models, asset information and other relevant data can be connected to the scan data to create an accurate digital representation of the existing asset.
First, compare the BIM or CAD model against registered as-built scan data to identify geometric differences. Cintoo provides visual comparison tools that highlight deviations using configurable tolerance ranges. Teams can then investigate discrepancies and update the design, model or construction work as appropriate.
Yes. Cintoo provides scan-versus-model comparison tools that allow users to compare reality capture data with BIM or CAD models. Its Visual Diff Tool generates a heat map showing geometric differences, while the Visual Check Tool allows users to visually inspect both datasets together.
Cintoo connects reality capture data with BIM/CAD workflows by allowing teams to visualize scans alongside models, compare as-built conditions against design intent and export relevant scan data for downstream applications. Supported model formats include Revit, Navisworks, IFC, DWG, DGN, JT, STP, STEP and OBJ.
Yes. Cintoo can support construction coordination by providing a shared environment for as-built scan data and BIM/CAD models. Teams can use scan-to-BIM comparison, progress monitoring and visual QA/QC workflows to identify discrepancies and communicate site conditions more effectively.
Reality capture provides measured information about existing physical conditions rather than relying only on drawings or assumptions. Comparing this as-built information with design and BIM models can reveal deviations, installation issues and incomplete work earlier, helping teams make decisions based on actual site conditions.
Reality capture data can be uploaded into Cintoo in supported formats and organized into project work zones. BIM and CAD models can also be imported and positioned against scan data. Cintoo provides integrations and cloud-to-cloud connections that allow reality capture data to participate in broader project and asset workflows.
Cintoo supports integrations with platforms including Autodesk Construction Cloud, Newforma Konekt, Procore, Power BI and ESRI ArcGIS Enterprise, depending on the Cintoo edition and workflow. Cintoo also provides tools for workflows involving Revit, Navisworks and other BIM/CAD applications.
Yes. Cintoo can connect with Autodesk BIM 360 and Autodesk Construction Cloud to import supported 3D models directly into Cintoo projects. This allows teams to bring BIM data into the same environment as their reality capture data for scan-and-model workflows.
Yes. Cintoo supports workflows with Revit and Navisworks and can export reality capture data in formats used by Autodesk and Bentley ecosystems. For example, scan data can be exported as E57, RCP/RCS or POD for use in downstream point cloud workflows.
Yes. Depending on your workflow and permissions, scan data can be exported from Cintoo as point clouds or meshes for use in external applications. Export options include formats such as E57, RCP/RCS and POD, making it possible to continue working with reality capture data in other BIM, CAD and point cloud applications.
Yes. Cintoo can be integrated into broader asset management and digital twin workflows through supported integrations, APIs and custom software integrations. The platform is designed to connect reality capture data with other business and operational systems rather than keeping scan data isolated in a standalone environment.
Cintoo allows teams to access and inspect captured site conditions remotely through a web-based 3D environment. Once reality capture data has been collected, project teams can perform virtual inspections, review conditions and collaborate remotely, reducing the need for some repeat site visits and associated travel.
Digital twins provide a shared digital representation of physical facilities that can support engineering, maintenance, planning and operational decision-making. When based on accurate reality capture, they help teams understand existing conditions, evaluate changes and collaborate remotely across complex industrial environments.
A reality-based digital twin gives facility teams a visual reference for understanding the current condition and configuration of an asset. It can support remote inspections, maintenance planning, asset identification, retrofit planning and collaboration by connecting physical conditions with digital information.
Scan-to-BIM workflows compare actual site conditions with the BIM model, helping teams identify deviations before they become costly downstream problems. By validating design and construction against accurate as-built scan data, teams can detect installation issues earlier, improve coordination and reduce the likelihood of rework.
Cintoo can support safety planning by providing teams with a detailed digital representation of physical environments. Remote review can help teams understand site conditions before entering an area, while digital inspections and planning workflows can reduce unnecessary exposure to potentially hazardous environments.
AI can reduce manual work involved in interpreting and organizing reality capture data. Cintoo AI can automatically detect and classify selected assets and geometric features within 3D scan data, including equipment, safety-related objects, pipes and planar surfaces. New AI capabilities can help teams turn large volumes of scan data into more structured, actionable information.
Cintoo is particularly relevant to industries that rely on large-scale 3D reality capture data, including architecture, engineering and construction, manufacturing, automotive, energy, utilities and industrial facilities. These organizations can use Cintoo for scan management, as-built verification, digital twins, asset management and remote collaboration.
