Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
We created Bot Sentinel with the intention of making it user-friendly while providing extensive information. By showcasing detailed data about the Twitter accounts we monitor, we aim to help website visitors understand how malicious accounts disseminate disinformation and target others. Our commitment to transparency allows us to present numerous data points to our users. As a non-partisan platform, we monitor all types of accounts without bias. Utilizing advanced machine learning and artificial intelligence, our platform categorizes Twitter accounts and maintains a publicly accessible database for anyone to explore. Bot Sentinel was developed through the analysis of thousands of accounts and millions of tweets to enhance the accuracy of our machine-learning model, which boasts a classification accuracy of 95%. Unlike many other tools that simply identify "bots," our focus is on recognizing specific behaviors and activities that violate Twitter’s guidelines, making our approach unique and effective. Ultimately, our mission is to empower users with the knowledge needed to navigate the complexities of online interactions.
Description
The Sentinel system incorporates the sample container and cassette to capture an image of both the tissue and the label on the container. It continuously monitors the usage of containers and cassettes to prevent any potential mix-ups of specimens. During the transfer of tissue into the cassette, the Sentinel efficiently identifies, measures, and photographs each tissue piece. A gross report is automatically generated using the laboratory's specific template, which the technician reviews and subsequently adds to the patient’s records. In less than a second, the Sentinel precisely locates, measures, and images the tissue as it is placed into the cassette. Its measurements are notably more accurate and reliable compared to those taken manually by technicians. Additionally, the system produces visually appealing, full-color reports that include a gross description, details of the patient and clinician, as well as images of the container, its label, and the cassette itself, ensuring comprehensive documentation of the specimens. This advanced technology enhances the overall efficiency and accuracy of the specimen handling process.
API Access
Has API
No
API Access
Has API
No
Integrations
X (Twitter)
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
Yes
Linux
No
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Bot Sentinel
Website
botsentinel.com
Vendor Details
Company Name
VistaPath Biosystems
Founded
2017
Country
United States
Website
www.vistapathbio.com