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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.

What is MBDVidia?

Automatically assign balloon numbers and categorize criticality for both major and minor issues while tracking revisions from the original CAD files or authoritative sources. Produce machine-readable Product Manufacturing Information (PMI), tackling GD&T inconsistencies, resolving conflicting details, and improving CAD models with a readiness assessment for Model-Based Definition (MBD). Examine user-friendly visual aids and measurement data formatted in a customizable Excel sheet for better clarity. Furthermore, explore easily interpretable visual formats and measurement data available in various customizable options enriched with MBD, including Excel, Net-Inspect, HTML, and PDF. Import measurement findings back into the MBD model of the CAD design, ensuring the PMI is accessible for both human users and machines alike. The MBD readiness assessment guarantees that your PMI is fine-tuned for machine interpretation, streamlining downstream automation processes and significantly enhancing production efficiency. In addition, this proactive approach to managing MBD fosters seamless collaboration among teams, leading to a more effective workflow in manufacturing environments.

Media

Media

Integrations Supported

MobiledgeX

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Niantic Spatial

Company Location

United States

Company Website

www.nianticspatial.com

Company Facts

Organization Name

Capvidia

Date Founded

1994

Company Location

United States

Company Website

www.capvidia.com/products/mbdvidia

Categories and Features

Augmented Reality

Not specified

GIS

Not specified

Categories and Features

CAD

Not specified

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