Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Ansys Sherlock stands out as the sole reliability physics-based tool for electronics design that delivers quick and precise life expectancy assessments for electronic components, boards, and systems during the initial design phases. By automating the design analysis process, Ansys Sherlock enables the rapid generation of life predictions, thus eliminating the "test-fail-fix-repeat" cycle that often hampers development. Designers can effectively model the interactions between silicon–metal layers, semiconductor packaging, printed circuit boards (PCBs), and assemblies, allowing for accurate predictions of potential failure risks stemming from thermal, mechanical, and manufacturing stresses, all prior to creating prototypes. Additionally, Sherlock's extensive libraries, which house over 500,000 components, facilitate the seamless transformation of electronic computer-aided design (ECAD) files into computational fluid dynamics (CFD) and finite element analysis (FEA) models. Each of these models is equipped with precise geometries and material properties, ensuring that stress information is accurately conveyed for reliable predictions. This capability not only enhances design efficiency but also significantly reduces the risk of costly errors in the later stages of product development.
Description
DataQu is an innovative online platform featuring a cutting-edge artificial intelligence engine that creates predictive mathematical models, enabling users to foresee unexpected events. By forecasting the potential failure of machine components, it allows for timely replacements according to a planned schedule, preventing disruptions. Additionally, it develops crop prediction models to enhance the agricultural sector's resilience against climate change effects. The platform also facilitates rapid responses to shifts in customer demands, supplier issues, or production challenges that may arise. Customer segmentation stands out as a vital aspect of predictive analytics, benefiting any organization seeking improvement. Furthermore, DataQu aids in monitoring activities, coordinating resources, and keeping businesses aligned with their sales strategies. Employed across diverse industries, it empowers organizations to make informed business decisions and fosters improved customer management, ultimately providing a clearer perspective on future opportunities. In this way, DataQu not only enhances operational efficiency but also drives strategic growth through data-driven insights.
API Access
Has API
Yes
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Ansys
Founded
1970
Country
United States
Website
www.ansys.com/products/structures/ansys-sherlock
Vendor Details
Company Name
DataQu
Country
Chile
Website
dataqu.ai/
Product Features
Computer-Aided Engineering (CAE)
CAD/CAM Compatibility
No
Finite Element Analysis
No
Fluid Dynamics
No
Import / Export Files
No
Integrated 3D Modeling
No
Manufacturing Process Simulation
No
Mechanical Event Simulation
No
Multibody Dynamics
No
Thermal Analysis
No
Product Features
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No