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Description
Our advanced battery analytics platform delivers state-of-the-art solutions for monitoring, analyzing, and optimizing battery performance. By utilizing a variety of machine learning techniques and battery-specific algorithms, we ensure accurate results across diverse scenarios. The platform features an API that allows for seamless integration with third-party applications, such as fleet management systems. Instead of relying on guesswork, laboratory experiments, and cumbersome manual data management, users can conduct virtual testing and enjoy automated handling of lab data. The model library enables users to effectively test battery cells in a virtual environment, further enhancing the development process. Our data management software solutions also facilitate the efficient organization of lab data, allowing for better decision-making. By utilizing field data analytics, you can optimize your development efforts. The TWAICE battery model library grants access to a wide array of high-fidelity electrical, thermal, and aging models of the latest lithium-ion battery cells available on the market today, ensuring that you have the most accurate and up-to-date resources for your projects. This comprehensive approach not only streamlines the research and development process but also significantly accelerates innovation in battery technology.
Description
Wiliot’s IoT Pixels enable all types of products and objects to identify and address inefficiencies and challenges they face. When integrated with machine learning and cloud-based artificial intelligence, the Wiliot Platform offers advanced sensing capabilities, including temperature and location tracking. The Wiliot IoT ecosystem facilitates seamless internet connectivity for various devices by utilizing a widespread network of Bluetooth-enabled gadgets such as smartphones and access points. These innovative, postage stamp-sized devices are battery-free, generating their power by capturing ambient radio waves, which allows for an almost limitless operational lifespan. Their compact design, combined with the ability to function with minimal infrastructure for energy harvesting and data reading, makes them highly advantageous. The combination of being battery-free and cutting-edge tag production methods further enhances the IoT Pixels' benefits concerning size, cost, and ease of maintenance. Additionally, the integration of multiple harvesting units along with nano-watt computing capabilities marks a significant advancement in the field of IoT technology.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
TWAICE Technologies
Country
Germany
Website
twaice.com
Vendor Details
Company Name
Wiliot
Country
United States
Website
www.wiliot.com/product/iot-pixels
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization