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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
dotData empowers your organization to concentrate on the outcomes of AI and machine learning initiatives, relieving you from the complexities of the data science workflow by automating the entire data science life-cycle. You can launch a complete AI and ML pipeline in just minutes, while benefiting from real-time updates through continuous deployment. This innovation accelerates data science endeavors, reducing timelines from several months to mere days via automated feature engineering. With data science automation, you can uncover the hidden insights within your business effortlessly. The traditional approach to utilizing data science for crafting and implementing precise machine learning and AI models is often laborious, lengthy, and requires collaboration across multiple disciplines. By automating the most tedious and repetitive tasks that plague data science efforts, you can significantly diminish AI development periods, transforming them from months into just days. This shift not only enhances efficiency but also allows teams to redirect their focus toward more strategic initiatives.
API Access
Has API
API Access
Has API
Integrations
Microsoft Azure
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
TheMathCompany
Founded
2016
Country
United States
Website
themathcompany.com/meet-codx.html
Vendor Details
Company Name
dotData
Founded
2018
Country
United States
Website
dotdata.com
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Low-Code Development
AI-Assisted Development
Business Process Automation
Collaborative Development
Data Aggregation and Publishing
Deployment Management
Drag & Drop
Integrations Management
Iteration Management
Performance Monitoring
Requirements Management
Templates
Visual Modeling
Web / Mobile App Development
Workflow Management
Product Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports