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What is proteanTecs?

proteanTecs provides an all-encompassing deep data analytics solution that leverages the capabilities of both cloud and edge computing to monitor electronic devices from their initial design phase through to their deployment in real-world applications. By embedding on-chip agents at the beginning of the design cycle, this platform ensures extensive data collection, facilitating timely insights and notifications throughout the entire product lifecycle. This forward-thinking approach greatly enhances product quality, achieving nearly zero defects per million units through accurate outlier identification and improved testing coverage. The platform boosts reliability with advanced fault alerts that enable predictive maintenance, thus reducing potential service disruptions. In addition, it improves operational efficiency by swiftly detecting changes in production processes and implementing precise binning, which leads to increased parametric yields. The solution also accelerates time-to-market by optimizing product ramp-up and shortening testing periods, allowing companies to respond more quickly to market demands. Furthermore, it provides valuable visibility into both production performance and power metrics, essential for optimizing product functionality and fine-tuning designs. Ultimately, proteanTecs’ platform signifies a revolutionary method for monitoring and analyzing electronic devices, fostering both innovation and efficiency across the industry. As such, it positions itself as a critical tool for manufacturers aiming to stay ahead in a competitive market.

What is PAT-Man?

In light of the rigorous quality standards imposed by the automotive industry, semiconductor companies are progressively implementing Part Average Testing (PAT) to enhance product reliability. This approach aims to pinpoint and eradicate "outlier" components that may pass standard testing but exhibit atypical characteristics, thus alleviating long-term quality and reliability issues. Through comprehensive statistical evaluations of various devices and adjustments to the pass/fail criteria, PAT facilitates the early identification of these faulty parts, ensuring that only top-grade components are sent out in production batches. Although Part Average Testing (PAT), as detailed in the Automotive Electronics Council AEC-Q001-Rev C guidelines, mainly concentrates on DPM methodologies for normal (Gaussian) distributions, many practical situations involve non-conforming distributions. Therefore, it becomes crucial to adopt specialized PAT outlier detection methods to avert substantial yield losses or incorrect outlier designations. To tackle these difficulties, PAT-Man presents itself as a powerful solution for implementing effective Part Average Testing (PAT). This groundbreaking tool not only improves the reliability of semiconductor products but also optimizes the testing workflow, ultimately providing significant advantages to both manufacturers and consumers. Additionally, by integrating advanced analytics and machine learning techniques, PAT-Man can further refine the identification process, ensuring that the semiconductor industry continues to meet the evolving demands for quality and performance.

Media

Media

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 Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

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

proteanTecs

Date Founded

2017

Company Location

Israel

Company Website

www.proteantecs.com/solutions

Company Facts

Organization Name

Galaxy

Company Location

United States

Company Website

www.galaxysemi.com/products/pat-man

Categories and Features

Categories and Features

Engineering

2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering

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