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What is Splat Labs?

Splat Labs stands out as a pioneering cloud-based platform that specializes in 3D reality capture, empowering users to quickly create, host, and distribute immersive digital twins through its innovative Gaussian Splat technology. This unique platform supports photorealistic 3D environment visualization on any device, streamlining the process by removing the need for extra software, plugins, or downloads. By employing Gaussian Splatting, it produces visuals composed of numerous tiny 3D Gaussian blobs, each with unique positions, colors, and opacities, delivering an incredibly realistic experience that can exceed 90 frames per second directly in web browsers. Furthermore, Splat Labs integrates effortlessly with a variety of existing capture techniques, including LiDAR, photogrammetry, and drones, as well as tools such as Postshot, Polycam, XGRIDS, DJI, Luma AI, Kiri Engine, and PortalCam. This platform turns raw splat files into engaging digital twins that can be easily accessed and shared with your entire team through a straightforward upload process and a single link. Users can interact within the 3D environment by measuring distances and areas, generating AI-driven floor plans, and enhancing their spaces with virtual staging, while also tracking changes over time with 4D timelines. With its comprehensive toolkit for spatial analysis and design, Splat Labs proves to be an essential asset for teams eager to push the boundaries of 3D visualization and collaboration, fostering innovation in their projects. As a result, Splat Labs is set to redefine how teams approach and utilize 3D technologies in their workflow.

What is QMSys GUM?

The QMSys GUM Software is specifically developed to evaluate the uncertainty associated with physical measurements, chemical analyses, and calibration procedures. It offers three unique methods to calculate measurement uncertainty. The first method, GUF Method for linear models, is focused on linear and quasi-linear structures, adhering to the GUM Uncertainty Framework. This method calculates partial derivatives that represent the initial terms of a Taylor series, which helps in determining sensitivity coefficients for the equivalent linear model, and subsequently uses the Gaussian error propagation law to find the combined standard uncertainty. The second method, GUF Method for nonlinear models, is tailored for nonlinear scenarios where the outcomes show a symmetric distribution, using various numerical strategies such as nonlinear sensitivity analysis and higher-order sensitivity indices, along with quasi-Monte Carlo simulations that apply Sobol sequences. By incorporating these diverse methodologies, the software equips users with extensive tools for performing thorough uncertainty analysis in various measurement situations, ensuring robustness and precision in their results. Additionally, it enhances decision-making processes by providing clear insights into the levels of uncertainty involved.

Media

Media

Integrations Supported

ArcGIS
Autodesk Construction Cloud
DJI Mimo
KIRI Engine
LixelStudio
Luma AI
Polycam
Procore
Revit
Unreal Engine
Zillow

Integrations Supported

API Availability

API Availability

Pricing Information

$14 per month
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

Windows

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

ROCK Robotic

Date Founded

2020

Company Location

United States

Company Website

www.splatlabs.ai/

Company Facts

Organization Name

Qualisyst

Date Founded

1994

Company Location

Bulgaria

Company Website

www.qsyst.com/qualisyst_en.htm

Categories and Features

Virtual Tour

Not specified

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Storage
Multivariate Analysis
Regression Analysis
Statistical Simulation
Visualization

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