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What is CrowdChem?

The CrowdChem Data Platform acts as a cutting-edge knowledge center specifically designed for the chemistry industry, harnessing data collected through independent methods. This platform enables users to effectively select raw materials and pinpoint potential customers through its sophisticated data analysis and text mining features. For example, it aids in investigating innovative combinations of raw materials, improves the accuracy of research on chemical product applications, and compiles lists of potential clients for various businesses. Users gain access to a comprehensive information database drawn from patents, research articles, catalogs, and news sources, thus simplifying data retrieval processes. By employing machine learning and natural language processing techniques, the platform facilitates smooth raw material selection and customer identification, in addition to providing support for competitive analysis and other features. Furthermore, the incorporation of these advanced technologies not only boosts efficiency but also significantly enhances decision-making within the chemistry field. Overall, the CrowdChem Data Platform represents a major advancement in the way chemistry professionals access and utilize vital information.

What is Atinary SDLabs Platform?

Atinary's Self-Driving Labs (SDLabs) platform provides a no-code approach for artificial intelligence and machine learning, designed to revolutionize research and development workflows by enabling traditional laboratories to transition from manual experiments to fully autonomous experimentation. This innovative platform bolsters the design and improvement of experiments through a robust closed-loop system that integrates AI-generated hypotheses, predictions, and decision-making processes. Among its key functionalities are multi-objective optimization, effective database management, seamless workflow orchestration, and immediate data analysis. Users can define experimental parameters with specific limitations, allowing machine learning algorithms to guide the subsequent phases of the process, carry out experiments either manually or with robotic assistance, evaluate results, and refresh models with the most recent data, thereby accelerating the journey toward more efficient, cost-effective, and environmentally sustainable products. Furthermore, Atinary provides exclusive algorithms such as Emmental for addressing non-linear constrained optimization challenges, SeMOpt for facilitating transfer learning within Bayesian optimization, and Falcon, all of which significantly boost the platform's capabilities and performance. By utilizing these sophisticated tools, researchers are empowered to enhance their experimental workflows, fostering greater efficiency and driving innovation in their fields. Ultimately, the SDLabs platform represents a transformative shift in how laboratories approach experimentation, paving the way for groundbreaking discoveries.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

CrowdChem

Date Founded

2023

Company Location

United States

Company Website

crowdchem.net/en/product-2/

Company Facts

Organization Name

Atinary

Date Founded

2019

Company Location

Switzerland

Company Website

atinary.com/solutions/

Categories and Features

Categories and Features

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