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Average Ratings 0 Ratings
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
The entire process of machine learning and computer vision is streamlined and expedited through a single no-code platform. Sense empowers users to create and implement AI IoT solutions across various environments, whether in the cloud, at the edge, or on-premises. Discover how Sense delivers ease, consistency, and transparency for AI/ML teams, providing robust capabilities for machine learning engineers while remaining accessible for subject matter experts. With Sense Data Annotation, you can enhance your machine learning models by efficiently labeling video and image data, ensuring the creation of high-quality training datasets. The platform also features one-touch labeling integration, promoting ongoing machine learning at the edge and simplifying the management of all your AI applications, thereby maximizing efficiency and effectiveness. This comprehensive approach makes Sense an invaluable tool for a wide range of users, regardless of their technical background.
API Access
Has API
API Access
Has API
Integrations
Check Point IPS
Check Point Infinity
ThreatStream
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
Sixgill
Founded
2007
Country
United States
Website
sixgill.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
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management
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