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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Pitops stands out as the sole software solution capable of executing genuine closed-loop system identification with PID controllers in Auto mode, or even with secondary PID controllers in Cascade mode, without the necessity of interrupting the cascade chain or undertaking additional, labor-intensive plant step tests. No other competitor tool is capable of successfully identifying transfer functions using data from PID controllers in Cascade mode, making Pitops unparalleled in this regard. Additionally, Pitops conducts transfer function identification entirely in the time domain, unlike other tools that rely on the more intricate Laplace (S) or Discrete (Z) domains. It also has the remarkable ability to manage multiple inputs and identify several transfer functions simultaneously. Utilizing a groundbreaking proprietary algorithm, Pitops facilitates multiple inputs closed-loop transfer function system identification in the time domain, significantly surpassing traditional methods like ARX/ARMAX/Box and Jenkins used by competing tools. This innovative approach not only streamlines the process but also enhances accuracy and efficiency, making Pitops the preferred choice in the industry.

Description

The Tencent Cloud TI Platform serves as a comprehensive machine learning service tailored for AI engineers, facilitating the AI development journey from data preprocessing all the way to model building, training, and evaluation, as well as deployment. This platform is preloaded with a variety of algorithm components and supports a range of algorithm frameworks, ensuring it meets the needs of diverse AI applications. By providing a seamless machine learning experience that encompasses the entire workflow, the Tencent Cloud TI Platform enables users to streamline the process from initial data handling to the final assessment of models. Additionally, it empowers even those new to AI to automatically construct their models, significantly simplifying the training procedure. The platform's auto-tuning feature further boosts the efficiency of parameter optimization, enabling improved model performance. Moreover, Tencent Cloud TI Platform offers flexible CPU and GPU resources that can adapt to varying computational demands, alongside accommodating different billing options, making it a versatile choice for users with diverse needs. This adaptability ensures that users can optimize costs while efficiently managing their machine learning workflows.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
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 No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

PiControl Solutions

Founded

1992

Country

United States

Website

www.picontrolsolutions.com/products/pitops/

Vendor Details

Company Name

Tencent

Founded

1998

Country

China

Website

www.tencentcloud.com/products/ti

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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