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What is Sixgill Sense?

The entire machine learning and computer vision workflow is simplified and accelerated through a unified no-code platform. Sense enables users to design and deploy AI IoT solutions in diverse settings, whether in the cloud, on-site, or at the edge. Learn how Sense provides simplicity, reliability, and transparency for AI/ML teams, equipping machine learning engineers with powerful tools while remaining user-friendly for non-technical experts. With Sense Data Annotation, users can effectively label video and image data, improving their machine learning models and ensuring the development of high-quality training datasets. The platform also includes one-touch labeling integration, which facilitates continuous machine learning at the edge and streamlines the management of all AI applications, thus enhancing both efficiency and performance. This all-encompassing framework positions Sense as an essential asset for a variety of users, making advanced technology accessible to those with varying levels of expertise. Additionally, the platform's flexibility allows for rapid adaptation to evolving project requirements and fosters collaboration among teams.

What is AtomBeam?

There is no requirement to buy any hardware or alter your network setup, as installation is simply a matter of easily configuring a compact software library. By 2025, forecasts suggest that an astonishing 75% of the data created by enterprises, which amounts to 90 zettabytes, will be generated by IoT devices. For context, the total storage capacity of all data centers worldwide is currently less than two zettabytes combined. Alarmingly, 98% of IoT data is left unsecured, highlighting the urgent need for robust protection measures. Additionally, there are ongoing worries about the lifespan of sensor batteries, with few viable solutions expected to emerge soon. Many users also face challenges related to the restricted range of wireless data transmission. We envision that AtomBeam will transform the IoT landscape in a way similar to how electric light changed everyday experiences. Several obstacles hindering the broader acceptance of IoT can be overcome through the seamless implementation of our compaction software. By leveraging our technology, users can improve security, extend battery life, and broaden transmission capabilities. Furthermore, AtomBeam offers a significant opportunity for businesses to reduce costs associated with both connectivity and cloud storage, making it a highly attractive choice for those prioritizing efficiency. As IoT demand continues to climb, our innovative solutions provide a timely and effective response to the fast-evolving technological environment. In this way, we aim to not only address current challenges but also pave the way for a more interconnected future.

Media

Media

Integrations Supported

Check Point IPS
Check Point Infinity
ThreatStream

Integrations Supported

Check Point IPS
Check Point Infinity
ThreatStream

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sixgill

Date Founded

2007

Company Location

United States

Company Website

sixgill.com

Company Facts

Organization Name

AtomBeam

Company Location

United States

Company Website

atombeamtech.com

Categories and 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

Categories and 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

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