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Dr Yield

Dr Yield Email Formats

SemiconductorsFlag of ATGraz, Styria, Austria1-10 Employees

Dr Yield Email Formats

Dr Yield uses 2 email formats. The most common is {first name}.{last name} (e.g., john.doe@dryield.com), used 75% of the time.

FormatExamplePercentage
{first name}.{last name}
john.doe@dryield.com
75%
{first initial}.{last name}
j.doe@dryield.com
25%

Key Contact at Dr Yield

Flag of AT

Axel Wawrina

Chief Technology Officer

Company overview

HeadquartersOpernring 4, Graz, A-8010, AT
Phone number+433162257140
Website
SIC367
Keywords
Predictive Analytics, Machine Learning, Big Data Analysis, Pattern Recognition, Statistical Process Control (Spc), Semiconductor Test, Yield Software Solutions, Pattern Detection, Defect Analysis, Part Average Testing (Pat), Stdf, Pattern Classification, Ai For Semiconductor Manufacturing, Outlier Detection, Semiconductor Data Analytics, Semiconductor Yield, Yield Management System (Yms), Semiconductor Yield Analytics
Founded2005
Employees1-10
Socials

About Dr Yield

DR YIELD has been driving innovation in yield intelligence for 20 years. Our customers benefit from improved efficiency, lower costs and increased yield with YieldWatchDog, the AI-supported, smart, flexible and high-performance software solution for semiconductor data visualization and automated process control. It’s built to solve key issues like long ramp-up cycles, hidden defects, and disconnected data environments. YieldWatchDog enables comprehensive data integration, advanced analysis and intuitive visualization of all chip manufacturing and test data. It detects critical patterns and automatically alerts users to process irregularities before they become yield-impacting problems. Using patented data aggregation technology and advanced algorithms, YieldWatchDog quickly integrates even large amounts of data into one large-scale, highly compressed database, giving teams the clarity and speed to make smarter decisions, faster. YieldWatchDog’s user-friendly and intuitive interface gives you deep insight into your data. YieldWatchDog is a customizable, fully scalable, turnkey solution that saves on engineering time and IT infrastructure costs. The New Defect Module brings inspection data into the YieldWatchDog environment. Engineers can now correlate inspection results with yield loss, tool performance, and other key metrics, all within a single, unified platform. YieldWatchDog-XI brings advanced deep learning to the mix, using neural networks and smart algorithms for intelligent pattern recognition, tool analytics, and multivariate monitoring. Our Advanced Quality Module/PAT was specifically created for our customers in automotive and other quality-critical industries, offering deep-dive analytics like value shifts, neighborhood rules, shot and stack analysis and more.

Employees by Management Level

Total employees: 1-10

Seniority

Employees

Entry
C-Suite
Manager

Employees by Department

Dr Yield has 4 employees across 3 departments.

Departments

Number of employees

Funding Data

Dr Yield has never raised funding before.

Dr Yield Tech Stack

Discover the technologies and tools that power Dr Yield's digital infrastructure, from frameworks to analytics platforms.

Cloudflare

Cloudflare

CDN

jQuery

jQuery

JavaScript libraries

Underscore.js

Underscore.js

JavaScript libraries

HTTP/3

HTTP/3

Miscellaneous

PHP

PHP

Programming languages

Font Awesome

Font Awesome

Font scripts

Akismet

Akismet

WordPress plugins

WordPress

WordPress

Blogs

WPForms

WPForms

Form builders

Swiper

Swiper

JavaScript libraries

jQuery UI

jQuery UI

JavaScript libraries

MySQL

MySQL

Databases

Frequently asked questions

Dr Yield is located in Graz, Styria, AT.
You can reach Dr Yield at +433162257140.
Dr Yield was founded in 2005, making it 21 years old. The company has established itself as a significant player in its industry over this time.
Dr Yield has approximately 1-10 employees. The company continues to grow its workforce to support its business operations and expansion.

4.8

40,000 users

top 50
high performer
most used
tier 1 accuracy

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