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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Utilize data science to enhance traditional wisdom and promote equitable health outcomes for indigenous populations. Our goal is to connect the realms of research, healthcare, and data science seamlessly. We are working towards developing a comprehensive data science platform tailored for the medical and research sectors. By leveraging machine learning, generative AI, and advanced data science techniques, we aspire to transform these industries and make cutting-edge solutions available to you. Our platform will allow users to effectively manage, categorize, and analyze their visual data, automating image labeling, extracting meaningful insights, and generating synthetic datasets from your contributions. Features for bias detection and fostering community collaboration will be introduced in the near future. Additionally, we are committed to creating a solution that promotes social good, as we focus not only on bridging the technological accessibility gap but also on ensuring that our models are devoid of the algorithmic biases that often plague technological advancements. This endeavor is not just about technology; it's about empowering communities and fostering equitable health outcomes for all.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Check Point IPS No 
Check Point Infinity No 
Kota Yes 
ThreatStream No 

Integrations

Check Point IPS Yes 
Check Point Infinity Yes 
Kota No 
ThreatStream Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook 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 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Sanitas AI

Country

United States

Website

www.sanitas.ai/

Vendor Details

Company Name

Sixgill

Founded

2007

Country

United States

Website

sixgill.com

Product Features

Data Labeling

Human-in-the-loop No 
Labeling Automation No 
Labeling Quality No 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management No 
Team Collaboration No 
Training Data Management No 

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 

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