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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Our Next Energy is at the forefront of creating a sustainable electric future by developing innovative energy storage technologies that significantly enhance global access to clean power. Established in July 2020 by industry visionaries, Our Next Energy, Inc. leverages years of collective expertise to expedite the transition to electrification. The company has successfully showcased its Gemini 001 battery in an electric vehicle, which remarkably traveled 752 miles without needing a recharge, marking a revolutionary advancement in electric vehicle capabilities that meets the range demands of all drivers. The advanced battery features a capacity of 203.7 KWh and boasts an impressive energy density of 416 Wh/L. In addition, the Aries™ battery system surpasses its leading counterparts in overall system-level energy density. Utilizing a safe and sustainable lithium iron phosphate (LFP) cathode chemistry, Aries™ mitigates risks of thermal runaway while providing a flexible architecture that can be tailored for both series and parallel configurations, ensuring adaptability for various applications. This commitment to innovation not only positions Our Next Energy as a leader in the energy sector but also sets the stage for a more electrified and sustainable future.

Description

Engaging with battery technologies involves managing vast amounts of information and accommodating a diverse array of applications. Our technological framework is built on the premise that requirements can differ significantly; even if you begin on a small scale at the plant level, the need to expand swiftly to a full-scale enterprise is essential without compromising efficiency. The Peaxy Battery Intelligence cloud solution assists in interpreting your battery-related data by developing a comprehensive battery passport that securely captures, parameterizes, and archives the entire value chain of your serialized battery assets, from their creation to their eventual decommissioning. This centralized, cloud-based repository serves as your definitive source of truth, which in turn supports AI algorithms that conduct analytics aimed at enhancing battery health and quality, minimizing recall risks, and achieving sustainability objectives. Ultimately, this holistic approach not only streamlines operations but also fosters innovation within the battery technology landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$15 per month
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

AlgorX

Founded

2016

Country

United States

Website

one.ai

Vendor Details

Company Name

Peaxy

Founded

2012

Country

United States

Website

peaxy.net

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Conversational AI

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

Product Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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