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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.

What is AQChemSim?

AQChemSim, an advanced cloud-based service developed by SandboxAQ, employs Large Quantitative Models (LQMs) rooted in physical and chemical principles to revolutionize the field of materials discovery and improvement. By integrating methodologies such as Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQChemSim enables accurate simulations of molecular and material behavior in practical applications. Its capabilities include predicting performance across various stress scenarios, accelerating formulations through in silico assessments, and exploring environmentally friendly chemical processes. Notably, AQChemSim has made significant strides in the realm of battery technology, reducing the prediction time for the end-of-life of lithium-ion batteries by an impressive 95%, while achieving 35 times greater precision with only a fraction of the previously necessary data. This groundbreaking progress not only enhances the efficiency of research but also opens up opportunities for more sustainable energy solutions in the future. As such, AQChemSim stands at the forefront of innovation, driving advancements that could reshape entire industries.

Media

Media

Integrations Supported

Integrations Supported

Amazon Web Services (AWS)

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Atinary

Date Founded

2019

Company Location

Switzerland

Company Website

atinary.com/solutions/

Company Facts

Organization Name

SandboxAQ

Date Founded

2021

Company Location

United States

Company Website

www.sandboxaq.com/solutions/aqchemsim

Categories and Features

Materials Science

Not specified

Categories and Features

Chemical

Not specified

Materials Science

Not specified

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