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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

There is no need to purchase hardware, alter your existing network, or deal with complex installations; just a straightforward setup of a small software library is required. By the year 2025, it is projected that a staggering 75% of all data generated by enterprises, which amounts to 90 zettabytes, will originate from Internet of Things (IoT) devices. For context, the total storage capacity of every data center globally is currently less than two zettabytes. Additionally, an alarming 98% of IoT data remains unprotected, highlighting the urgent need for enhanced security across all data. One major challenge for IoT devices is the limited battery life of sensors, with few immediate solutions available. Moreover, many users of IoT face difficulties related to the range of wireless data transmission. We believe that AtomBeam will revolutionize the IoT landscape in much the same manner that electric lighting transformed daily life. The addition of our compaction software can effectively address several critical barriers to adopting IoT technologies. With just our software, you can enhance security measures, prolong sensor battery life, and boost transmission ranges significantly. AtomBeam also presents a chance to achieve considerable savings on connectivity and cloud storage expenses, facilitating a more efficient IoT ecosystem for all users. Ultimately, the integration of our software could reshape how businesses manage their data and optimize their resources.

Description

Eatron's Intelligent Software Layer (ISL) represents an innovative approach aimed at maximizing the capabilities of batteries by improving their performance, increasing their longevity, and prioritizing safety. By utilizing our unique algorithms, we achieve remarkable State of Charge (SoC) accuracy of ±1%, which is significantly better than the industry standard of ±3%, while also ensuring a State of Health (SoH) accuracy of ±2% across the battery's lifespan, compared to the typical ±5%. This level of precision enables the extraction of optimal performance from batteries without sacrificing safety measures. Our patented method for forecasting Remaining Useful Life (RUL) integrates a comprehensive knowledge of battery chemistries with cutting-edge machine learning and AI technologies, facilitating real-time life predictions based on actual usage patterns. Continuous monitoring of battery health allows us to respond to changes within the pack, potentially prolonging operational life by as much as 25%. Furthermore, safety remains a top priority; our AI diagnostic tools can foresee cell failures weeks in advance with an impressive accuracy rate of 90%, ensuring reliable operation and peace of mind for users. This holistic approach not only enhances battery efficiency but also sets a new standard in the field of battery management technology.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace

Integrations

AWS Marketplace

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

AtomBeam

Country

United States

Website

atombeamtech.com

Vendor Details

Company Name

Eatron

Founded

2018

Country

United Kingdom

Website

eatron.com

Product Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Product Features

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