Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
SquareML is an innovative platform that eliminates the need for coding, making advanced data analytics and predictive modeling accessible to a wider audience, especially within the healthcare field. It empowers users with varying levels of technical ability to utilize machine learning tools without requiring in-depth programming skills. This platform excels in aggregating data from a range of sources, such as electronic health records, claims databases, medical devices, and health information exchanges. Among its standout features are a user-friendly data science lifecycle, generative AI models tailored for healthcare needs, the ability to convert unstructured data, a variety of machine learning models to forecast patient outcomes and disease advancement, and a collection of pre-existing models and algorithms. Additionally, it facilitates smooth integration with multiple healthcare data sources. By providing AI-driven insights, SquareML aims to simplify data workflows, elevate diagnostic precision, and ultimately enhance patient care outcomes, thereby fostering a healthier future for all.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Check Point IPS
Yes
Check Point Infinity
Yes
Google Cloud Platform
No
Microsoft for Startups Founders Hub
No
NVIDIA DRIVE
No
ThreatStream
Yes
Integrations
Amazon Web Services (AWS)
Yes
Check Point IPS
No
Check Point Infinity
No
Google Cloud Platform
Yes
Microsoft for Startups Founders Hub
Yes
NVIDIA DRIVE
Yes
ThreatStream
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Sixgill
Founded
2007
Country
United States
Website
sixgill.com
Vendor Details
Company Name
SquareML
Founded
2021
Country
United States
Website
www.squareml.ai/product
Product Features
Data Labeling
Human-in-the-loop
No
Labeling Automation
Yes
Labeling Quality
Yes
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
Yes
Supports Audio Files
No
Task Management
Yes
Team Collaboration
Yes
Training Data Management
No
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No