PAT-ManGalaxy
|
evoMLTurinTech AI
|
|||||
Related Products
|
||||||
About
Facing strict quality demands from the automotive industry, semiconductor companies are increasingly applying Part Average Testing (PAT) to enhance reliability. PAT identifies and removes "outlier" parts that pass standard tests but exhibit abnormal characteristics, reducing long-term quality and reliability issues. By statistically analyzing multiple devices and adjusting pass/fail limits, PAT proactively identifies these problematic parts for exclusion, ensuring only the most reliable components reach production shipments. Part Average Testing ( PAT ) as detailed in the Automotive Electronics Council AEC-Q001-Rev C specifications only covers DPM techniques for normal (Gaussian) distributions. However, many distributions do not fall into the Gaussian category and require adapted PAT outlier detection methods to avoid excessive yield loss or incorrect outlier detection. PAT-Man is a comprehensive solution for Part Average Testing (PAT).
|
About
evoML accelerates the creation of production-quality machine learning models by streamlining and automating the end-to-end data science workflow, transforming raw data into actionable insights in days instead of weeks. It automates crucial steps, automatic data transformation that detects anomalies and handles imbalances, feature engineering via genetic algorithms, parallel model evaluation across thousands of candidates, multi-objective optimization on custom metrics, and GenAI-based synthetic data generation for rapid prototyping under data-privacy constraints. Users fully own and customize generated model code for seamless deployment as APIs, databases, or local libraries, avoiding vendor lock-in and ensuring transparent, auditable workflows. EvoML empowers teams with intuitive visualizations, interactive dashboards, and charts to identify patterns, outliers, and anomalies for use cases such as anomaly detection, time-series forecasting, and fraud prevention.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Manufacturing and engineering companies in need of a solution to enhance their product reliability
|
Audience
Data scientists, ML engineers and business analysts requiring a solution to build, optimize and deploy production-grade machine learning models from their existing data with minimal manual effort
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
|
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
|
|||||
Company InformationGalaxy
United States
www.galaxysemi.com/products/pat-man
|
Company InformationTurinTech AI
Founded: 2018
United Kingdom
www.turintech.ai/evoml
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
No info available.
|
Integrations
No info available.
|
|||||
|
|
|