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Description
SyncTech is committed to delivering cutting-edge solutions that enhance business operations, improve productivity, and lower the expenses and time associated with traditional practices in the construction and building insurance sectors. Their digital twin service portal provides a swift and cost-effective method for accessing both internal and external 3D models or digital twins of properties. By utilizing Reality Capture technology, they generate accurate 3D building models through laser scanning and photogrammetry, which accelerates the claims management process for building insurance while minimizing rework, waste, and delays in construction by effectively documenting existing conditions. Additionally, the Field to BIM or Reverse Engineering service involves creating a Revit or CAD model of an existing structure to facilitate milestone tracking in construction projects. This approach allows teams to conduct virtual inspections, identify potential issues, retrofit buildings, and compare them to the original design, ultimately leading to improved project outcomes. With these innovative tools, SyncTech is transforming the way the construction industry operates, paving the way for a more efficient future.
Description
Navigating the complexities of integrating data necessary for digital twins can be difficult, especially when dealing with incompatible formats and diverse sources from various vendors. Creating, visualizing, and analyzing digital twins should not be overly complicated. As fellow engineers dedicated to problem-solving, we have developed software that addresses some of the most intricate engineering issues within the infrastructure sector. By merging engineering data, real-time information, and IoT data, we can craft an engaging 3D or 4D immersive experience. This approach leads to a more profound comprehension of infrastructure assets and the ability to unlock the potential of digital data, ultimately making a significant impact. Our solutions provide the digital capabilities essential for achieving business success. Digital twins represent a dynamic digital version of physical assets, processes, or systems, enabling us to analyze and model their performance comprehensively. Unlike static 3D models, digital twins are perpetually refreshed with data from a variety of sources, enhancing their utility and accuracy. Embracing this technology empowers organizations to optimize operations and drive innovation.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Sync Technologies
Founded
2020
Country
Australia
Website
www.synctech.io
Vendor Details
Company Name
Bentley Systems
Founded
1984
Country
United States
Website
www.bentley.com/en/products/product-line/digital-twins/itwin
Product Features
BIM
2D Drawing
3D Modeling
Change Management
Collaboration
Conflict Tracking
Design Modeling
Document Management
For Facility Management
Mobile Access
Scheduling
Drone Mapping
2D Maps
3D Maps
Annotations
Compare Maps
Distance Measurement
Elevation Profiles
Overlays
Photogrammetry
Sharing Tools
Site Progress Tracking
Virtual Inspections
Product Features
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling