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What is Scale Data Engine?

The Scale Data Engine equips machine learning teams with the necessary tools to effectively enhance their datasets. By unifying your data, verifying it against ground truth, and integrating model predictions, you can effectively tackle issues related to model performance and data quality. You can make the most of your labeling budget by identifying class imbalances, errors, and edge cases within your dataset through the Scale Data Engine. This platform has the potential to significantly boost model performance by pinpointing and addressing areas of failure. Implementing active learning and edge case mining allows for the efficient discovery and labeling of high-value data. By fostering collaboration among machine learning engineers, labelers, and data operations within a single platform, you can assemble the most impactful datasets. Furthermore, the platform offers straightforward visualization and exploration of your data, facilitating the rapid identification of edge cases that need attention. You have the ability to closely track your models' performance to ensure that you are consistently deploying the optimal version. The comprehensive overlays within our robust interface provide an all-encompassing view of your data, including metadata and aggregate statistics for deeper analysis. Additionally, Scale Data Engine supports the visualization of diverse formats such as images, videos, and lidar scenes, all enriched with pertinent labels, predictions, and metadata for a detailed comprehension of your datasets. This functionality not only streamlines your workflow but also makes Scale Data Engine an essential asset for any data-driven initiative. Ultimately, its capabilities foster a more efficient approach to managing and enhancing data quality across projects.

What is STOCHOS?

STOCHOS is a cutting-edge probabilistic AI tool tailored for engineering and research and development sectors. It efficiently utilizes available simulation, testing, and measurement data to quickly forecast new variants while offering uncertainty assessments for each outcome, enabling engineers to determine when they can rely on the findings or revert to conventional solvers. Using the DIM-GP framework, STOCHOS proves effective even with smaller datasets, accommodating samples ranging from a handful to several hundred, and is capable of managing diverse data types, including scalars, signals, 2D and 3D fields, meshes, geometries, and images. Among its features are surrogate modeling, uncertainty quantification, Bayesian and multi-objective optimization, as well as multi-fidelity modeling and sensitivity analysis, in addition to generative geometry techniques. The user-friendly STOCHOS Flow visual workbench allows users to build workflows without requiring programming skills, enabling teams to implement these workflows as web applications easily. The software can be installed on local hardware and works offline, thus ensuring both accessibility and privacy for users. Established in 2018 in Grafing bei München, PI Probaligence operates as part of the CADFEM Group and has emerged as a key technology partner with Ansys, fostering pioneering solutions in the engineering domain. Moreover, its seamless integration into existing workflows not only boosts productivity but also enhances operational efficiency within engineering teams, making it a valuable asset in today's fast-paced technological landscape.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Quote on request
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Scale AI

Date Founded

2016

Company Location

United States

Company Website

scale.com/data-engine

Company Facts

Organization Name

PI Probaligence GmbH

Date Founded

2018

Company Location

Germany

Company Website

probaligence.com

Categories and Features

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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