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What is Kebotix?

Kebotix stands at the forefront of technological advancement, concentrating on the creation of innovative chemicals and materials, thereby ushering in a groundbreaking period of swift innovation through the use of artificial intelligence and robotic automation. The company has unveiled the first-ever autonomous laboratory designed for materials discovery, which is propelled by cutting-edge AI and robotics, fundamentally transforming conventional research practices. By significantly boosting the exploration, identification, application, and synthesis of new molecules and materials, Kebotix seeks to tackle some of the most urgent global challenges. Partner with us to fast-track the launch of your products while taking advantage of our state-of-the-art material design capabilities powered by our self-operating laboratory. Kebotix elevates your research and development initiatives into the modern digital age by providing customized enterprise AI solutions specifically tailored for materials discovery. Our automated learning framework, which refines itself with each iteration of predict-produce-prove, equips you to bring superior products to market more quickly than ever before. This revolutionary methodology not only conserves time but also dramatically improves the effectiveness of the research process, ultimately setting a new standard in the industry. As we continue to innovate, our commitment to scientific advancement drives us to explore even greater possibilities in materials development.

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

Amazon Web Services (AWS)

Integrations Supported

Amazon Web Services (AWS)

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

Kebotix

Date Founded

2017

Company Location

United States

Company Website

www.kebotix.com

Company Facts

Organization Name

SandboxAQ

Date Founded

2021

Company Location

United States

Company Website

www.sandboxaq.com/solutions/aqchemsim

Categories and Features

Categories and Features

Chemical

Certificates of Analysis
Chemical Process Simulation
Computer-Assisted Structure Elucidation (CASE)
ISO Management
Inventory Management
Particle Tracking
Reporting & Statistics
Samples Tracking
Traceability
Uncertainty Analysis

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