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What is smartAR?

Crafted for businesses that develop detailed and complex prototypes, the primary goal is to reduce the number of prototype variations that are generated. smartARâ„¢ overlays a digital version onto the live camera feed of a physical object, ensuring that the scale, positioning, and orientation of the CAD model perfectly match the real item. Users can observe the digital twin via a tablet, with its movements tracked by an external motion monitoring system that keeps a close watch on both its location and angle. This tracking system enables exceptional accuracy in aligning the digital twin with the actual object. As individuals move around the physical item, the virtual images on the tablet remain consistently anchored to the object. Additionally, virtual information can be placed with remarkable accuracy on the real-world object, achieving a precision of less than 3 millimeters in most stable viewpoints. The TGX software developed by Mechdyne provides effortless access to high-resolution CAD files from centralized servers or workstations, which effectively minimizes latency on the tablet and thereby improves the user experience. This integration of advanced technologies not only simplifies the prototyping workflow but also empowers users to engage with their designs in a more immersive and realistic way, ultimately fostering greater creativity and innovation in their projects.

What is Niantic Spatial?

Niantic Spatial is a pioneering geospatial AI company developing the foundation for real-world intelligence—where machines, software, and humans share a common understanding of physical space. Its platform is built on a Large Geospatial Model (LGM) trained on multi-source sensor data from ground and aerial perspectives, aligning the physical and digital worlds with remarkable precision. Through its core products—Reconstruct, Localize, and Understand—Niantic Spatial enables organizations to build high-fidelity digital twins, achieve centimeter-level localization, and query the world through semantics embedded at every 3D point. The platform’s Reconstruct module transforms raw spatial data into interactive 3D environments, while Localize provides hyper-accurate positioning, even in GPS-denied areas. Understand adds semantic intelligence, allowing systems to recognize and interpret the meaning of objects, terrain, and structures. Together, these capabilities create a unified foundation for Intelligent Logistics, Spatial Collaboration, and Immersive Experiences—ranging from autonomous delivery and remote site management to AR-powered tourism and smart infrastructure. Niantic Spatial also supports developers and enterprises with an SDK for custom integrations, enabling scalable deployment across industries. The company’s ongoing research and academic partnerships push the boundaries of spatial AI, focusing on safety, privacy, and responsible innovation. With its advanced spatial computing technology, Niantic Spatial is redefining how businesses capture, localize, and understand the world in three dimensions. It represents the next evolution in how AI perceives and interacts with physical reality.

Media

Media

Integrations Supported

Integrations Supported

MobiledgeX

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Mechdyne Corporation

Date Founded

1996

Company Location

United States

Company Website

www.mechdyne.com/software-services/software-solutions/smartar-augmented-reality-design-tool/

Company Facts

Organization Name

Niantic Spatial

Company Location

United States

Company Website

www.nianticspatial.com

Categories and Features

Augmented Reality

Not specified

Digital Twin

Not specified

Categories and Features

Augmented Reality

Not specified

GIS

Not specified

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