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ease
features
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Description

Atinary's Self-Driving Labs (SDLabs) platform offers a no-code solution for AI and machine learning, aimed at transforming research and development workflows by allowing conventional laboratories to move from hands-on experiments to fully autonomous experimentation. This platform enhances the design and refinement of experiments through a comprehensive closed-loop system that incorporates AI-generated hypotheses, forecasts, and decisions. Among its notable features are multi-objective optimization, efficient database management, streamlined workflow orchestration, and real-time data analysis. Users have the capability to set experimental parameters with specific constraints, enabling machine learning algorithms to determine the next steps in the process, conduct experiments either manually or with robotic aid, analyze outcomes, and update models with the latest data, thus expediting the pursuit of improved, cost-effective, and environmentally friendly products. Additionally, Atinary offers proprietary algorithms, including Emmental for tackling non-linear constrained optimization, SeMOpt for implementing transfer learning in Bayesian optimization, and Falcon, which collectively enhance the platform's functionality and effectiveness. By leveraging these advanced tools, researchers can achieve greater efficiency and innovation in their experimental processes.

Description

A closed-loop universal multivariable optimizer is designed to enhance both the performance and quality of Model Predictive Control (MPC) systems. This optimizer utilizes data from Excel files sourced from Dynamic Matrix Control (DMC) by Aspen Tech, Robust Model Predictive Control Technology (RMPCT) from Honeywell, or Predict Pro from Emerson to develop and refine accurate models for various multivariable-controller variable (MV-CV) pairs. This innovative optimization technology eliminates the need for step tests typically required by Aspen Tech and Honeywell, operating entirely within the time domain while remaining user-friendly, compact, and efficient. Given that Model Predictive Controls (MPC) can encompass tens or even hundreds of dynamic models, the possibility of incorrect models is a significant concern. The presence of inaccurate dynamic models in MPCs leads to bias, which is identified as model prediction error, manifesting as discrepancies between predicted signals and actual measurements from sensors. COLUMBO serves as a powerful tool to enhance the accuracy of Model Predictive Control (MPC) models, effectively utilizing either open-loop or fully closed-loop data to ensure optimal performance. By addressing the potential for errors in dynamic models, COLUMBO aims to significantly improve overall control system effectiveness.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Aspen DMC3 No 
Microsoft Excel No 

Integrations

Aspen DMC3 Yes 
Microsoft Excel Yes 

Pricing Details

No price information available.
Free Trial No 
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 No 
Live Training (Online) No 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

Atinary

Founded

2019

Country

Switzerland

Website

atinary.com/solutions/

Vendor Details

Company Name

PiControl Solutions

Country

United States

Website

www.picontrolsolutions.com/products/columbo/

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