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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

Pillar Science offers specialized software solutions to streamline research management for you and your team, allowing you to concentrate on your studies. The platform is user-friendly and can be set up effortlessly, integrating various tools so you can input data into spreadsheets, write protocols in a word processor, and communicate in real time without hassle. It is designed to meet all your research requirements, eliminating the need for data duplication. With robust security measures in place, your information is encrypted and securely stored according to your preferences, while automated backups ensure you never lose vital data. The fine-grained authorization system allows you to control who has access to your information, enhancing confidentiality and security. Additionally, Pillar Science supports your team in adhering to standardized methods and SOPs essential for effective research. With features like electronic signatures and compliance with FDA 21 CFR part 11, you can confidently conduct GxP research. You also have the flexibility to choose your data storage location to maintain regulatory compliance, ensuring that your research meets all necessary standards. This comprehensive approach not only optimizes your research process but also enhances collaboration among team members.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Kota

Integrations

Kota

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

Pillar Science

Founded

2017

Country

Canada

Website

pillar.science

Vendor Details

Company Name

Sanitas AI

Country

United States

Website

www.sanitas.ai/

Product Features

Medical Lab

Audit Trail
Data Analysis Auditing
Data Security
EMR Interface
Fax Management
Lab Instrument Interface
Multi-Location Printing
Online Instrumentation
Physician Test Panels
Procedure-Based Billing
Sample Tracking

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

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