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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Ansys PathFinder-SC serves as a robust and scalable solution designed to facilitate the planning, verification, and approval of IP and full-chip SoC designs, ensuring their integrity and resilience against electrostatic discharge (ESD). This innovative tool effectively identifies and isolates the underlying sources of design problems that could lead to chip failures due to charged-device model (CDM), human body model (HBM), or various ESD incidents. With its cloud-native architecture capable of harnessing thousands of compute cores, PathFinder-SC significantly accelerates full-chip turnaround times. Endorsed by leading foundries for current density assessments and ESD approval, it stands out as a reliable choice in the industry. The platform's comprehensive data modeling, extraction, and transient simulation engine provides an all-encompassing solution for ESD verification. Utilizing a single-pass model, it seamlessly reads industry-standard design formats, establishes ESD rules, extracts RCs for the power network, and conducts ESD simulations to pinpoint root causes while offering repair and optimization suggestions, all consolidated within one powerful tool. This streamlined process not only enhances efficiency but also reduces the time-to-market for critical design projects.

Description

The Robust Intelligence Platform is designed to integrate effortlessly into your machine learning lifecycle, thereby mitigating the risk of model failures. It identifies vulnerabilities within your model, blocks erroneous data from infiltrating your AI system, and uncovers statistical issues such as data drift. Central to our testing methodology is a singular test that assesses the resilience of your model against specific types of production failures. Stress Testing performs hundreds of these evaluations to gauge the readiness of the model for production deployment. The insights gained from these tests enable the automatic configuration of a tailored AI Firewall, which safeguards the model from particular failure risks that it may face. Additionally, Continuous Testing operates during production to execute these tests, offering automated root cause analysis that is driven by the underlying factors of any test failure. By utilizing all three components of the Robust Intelligence Platform in tandem, you can maintain the integrity of your machine learning processes, ensuring optimal performance and reliability. This holistic approach not only enhances model robustness but also fosters a proactive stance in managing potential issues before they escalate.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift
Amazon S3
Amazon SageMaker
Azure Blob Storage
DataRobot
Databricks
Google Cloud BigQuery
Google Cloud Storage
H2O.ai
IBM watsonx.data
Kubeflow
MLflow
PyTorch
Snowflake
TensorFlow

Integrations

Amazon Redshift
Amazon S3
Amazon SageMaker
Azure Blob Storage
DataRobot
Databricks
Google Cloud BigQuery
Google Cloud Storage
H2O.ai
IBM watsonx.data
Kubeflow
MLflow
PyTorch
Snowflake
TensorFlow

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Ansys

Founded

1970

Country

United States

Website

www.ansys.com/products/semiconductors/ansys-pathfinder-sc

Vendor Details

Company Name

Robust Intelligence

Founded

2019

Country

United States

Website

www.robustintelligence.com

Product Features

PCB Design

3D Visualization
Autorouting
Collaboration Tools
Component Library
Design Rule Check
Differential Pair Routing
Schematic Editor

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

Product Features

Machine Learning

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

Alternatives

Alternatives