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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Co.dx serves as a versatile platform that empowers organizations in various sectors to tackle essential challenges by creating tailored low-code business applications. The primary objective of Co.dx is to equip every stakeholder with the insights necessary for swift and impactful decision-making, thus revealing tangible value in the real world. By integrating the expertise of data scientists and business professionals, we provide innovative features that transform traditional problem-solving approaches in business settings. Our platform simplifies the complexities of data science through sophisticated AI and machine learning widgets that streamline tasks in data engineering, analysis, and visualization. Users can take advantage of cutting-edge solution templates, enriched with intellectual property from industry specialists, which reflect the specific needs and intricacies of their fields. Additionally, our robust applications translate complex data science terminology into user-friendly business tools that deliver practical insights, ultimately enhancing organizational efficiency and effectiveness. In this way, Co.dx not only facilitates problem-solving but also fosters a culture of data-driven decision-making within businesses.

Description

ScienceDesk's data automation simplifies the integration of artificial intelligence within the field of materials science. This tool serves as a practical solution for teams to consistently implement and utilize the latest AI algorithms in their daily workflows. It features customizable attributes, universal identifiers, QR codes, and a robust search engine that connects sample data with experimental results. As a groundbreaking platform, ScienceDesk facilitates collaboration among scientists and engineers, allowing them to engage with and glean insights from their experimental findings. However, the full potential of this resource remains untapped due to the diverse data formats and a reliance on specialists to manually retrieve targeted information. The ScienceDesk research data management system addresses this challenge by merging documentation with data analysis within a thoughtfully designed data structure. Our algorithms empower researchers and scientists, granting them comprehensive command over their data. They can not only exchange datasets but also share their analytical expertise, fostering a more collaborative research environment. Overall, ScienceDesk enhances data accessibility and encourages innovative approaches in scientific investigation.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Docker No 
Elastic Cloud No 
Flutter No 
GraphQL No 
Kubernetes No 
PostgreSQL No 
Redis No 
django CMS No 

Integrations

Docker Yes 
Elastic Cloud Yes 
Flutter Yes 
GraphQL Yes 
Kubernetes Yes 
PostgreSQL Yes 
Redis Yes 
django CMS Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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

Vendor Details

Company Name

TheMathCompany

Founded

2016

Country

United States

Website

themathcompany.com/meet-codx.html

Vendor Details

Company Name

ScienceDesk

Country

Germany

Website

sciencedesk.net

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Low-Code Development

AI-Assisted Development No 
Business Process Automation No 
Collaborative Development No 
Data Aggregation and Publishing No 
Deployment Management No 
Drag & Drop No 
Integrations Management No 
Iteration Management No 
Performance Monitoring No 
Requirements Management No 
Templates No 
Visual Modeling No 
Web / Mobile App Development No 
Workflow Management No 

Product Features

ELN

LIMS

Audit Trail No 
Certificates of Analysis No 
Data Import / Export No 
Electronic Laboratory Notebook No 
Inventory Management No 
Lab Instrument Interface No 
Reporting & Statistics No 
Sample Tracking No 
Specification Management No 
Workflow Management No 

Scientific Data Management System (SDMS)

Analytics No 
Artificial Intelligence (AI) No 
Audit No 
Centralized Data Repository No 
Collaboration No 
Compliance No 
Data Security No 
ELN Integration No 
LIMS Integration No 
Workflows No 

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