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What is Eatron?

Eatron's Intelligent Software Layer (ISL) introduces a groundbreaking method designed to enhance battery capabilities by optimizing performance, extending lifespan, and focusing on safety. Our proprietary algorithms enable an exceptional State of Charge (SoC) accuracy of ±1%, far surpassing the industry norm of ±3%, while achieving a State of Health (SoH) accuracy of ±2% throughout the battery's lifetime, in contrast to the usual ±5%. This exceptional precision allows for the extraction of peak performance from batteries without compromising safety protocols. Our patented approach to forecasting Remaining Useful Life (RUL) combines a deep understanding of battery chemistries with advanced machine learning and AI technologies, enabling real-time life predictions tailored to actual usage patterns. With continuous battery health monitoring, we can adapt to changes within the pack, potentially extending operational life by as much as 25%. In addition, safety is paramount; our AI diagnostic tools are capable of predicting cell failures weeks ahead with an accuracy rate of 90%, providing users with reliable performance and peace of mind. This comprehensive strategy not only improves battery efficiency but also establishes a new benchmark in battery management technology, paving the way for future innovations in the industry. By focusing on all aspects of battery functionality, we aim to revolutionize how energy storage solutions are managed and utilized.

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

AWS Marketplace
Amazon Web Services (AWS)

Integrations Supported

AWS Marketplace
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

Eatron

Date Founded

2018

Company Location

United Kingdom

Company Website

eatron.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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