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Average Ratings 0 Ratings
Description
The IoT Platform provides all the essential tools to design and launch a comprehensive IoT application, allowing you to concentrate on your primary business objectives. With the IoT Platform, you can easily integrate it into your brand instead of starting from scratch, enabling you to connect with more customers promptly. Its flexible architecture, bolstered by IoT technologies, is perfect for service providers seeking to unify their customer base while securely managing the connection of IoT devices and applications to a single hosted server. Essentially, any device that communicates via MQTT over a TCP/IP layer qualifies as an MQTT client, since the MQTT protocol relies on TCP/IP for operation. Both the broker and client need to operate on a TCP/IP layer, which can also be utilized for MQTT over SSL. The Bevywise platform supports MQTT/TCP, facilitating the development of IoT applications efficiently. Additionally, the platform enables multi-tenant device management, allowing for the oversight of multiple customers' device data within a single framework, thereby empowering each client to effectively monitor and control their IoT devices. This approach not only enhances user experience but also streamlines management processes across different customers.
Description
The Losant Enterprise IoT Platform serves as a powerful application enablement tool, empowering businesses to create IoT products, services, and applications that can securely scale to accommodate millions of devices. We support IoT solution development for a diverse range of Fortune 500 clients across various sectors, including telecommunications, manufacturing, and industrial IoT. Our platform is equipped to handle multiple use cases, such as asset tracking, monitoring industrial equipment, creating smart environments, and facilitating contact tracing. Every component of Losant, from Edge Compute to End-User Experiences, integrates seamlessly to convert data into customized IoT solutions. Utilize Losant’s edge computing capabilities to deploy logic directly onto edge devices, which helps minimize dependency on constant connectivity and allows for pre-filtering of data before it reaches the cloud. Enhance organization of data and devices through Losant’s advanced tagging and device modeling features. Ensure robust security measures are in place with TLS encryption and fully revocable access keys assigned to each device, thereby reinforcing the integrity of the entire IoT ecosystem. By leveraging these tools, enterprises can significantly enhance their operational efficiency and adaptability in an increasingly connected world.
API Access
Has API
API Access
Has API
Integrations
Amazon EC2
DigitalOcean
Eptura
Google Cloud Platform
Microsoft 365
Microsoft Azure
MySQL
PostgreSQL
Rackspace
Raspberry Pi OS
Integrations
Amazon EC2
DigitalOcean
Eptura
Google Cloud Platform
Microsoft 365
Microsoft Azure
MySQL
PostgreSQL
Rackspace
Raspberry Pi OS
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
Bevywise Networks
Founded
2016
Country
United States
Website
www.bevywise.com/iot-platform/
Vendor Details
Company Name
Losant
Founded
2015
Country
United States
Website
www.losant.com
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization