Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Citrusˣ offers a comprehensive platform focused on AI transparency and explainability, empowering organizations to uphold trust in their models. Through the web UI and SDK, data scientists can access Summary and Validation pages to evaluate their models' performance, analyze outcomes, and troubleshoot any issues that arise. Meanwhile, data science managers and Chief Data Officers can oversee their teams' progress, benchmark different models, and confirm that key performance indicators (KPIs) are being achieved. Risk officers and Model Risk Managers (MRMs) can utilize the web interface and detailed reports to ensure the models' reliability, evaluate associated risks, and confirm that AI is employed in a responsible and equitable manner in accordance with regulatory standards. Additionally, executives and regulatory bodies can leverage tailored summary reports to assess the robustness and precision of the models, comprehend the rationale behind their decisions, pinpoint potential risks, and guarantee adherence to compliance protocols, ultimately safeguarding the organization against legal repercussions and preserving its reputation in the industry. This multi-faceted approach ensures that all stakeholders are informed and engaged in the AI governance process.
Description
Effortlessly create sophisticated predictive models without the need for mathematics or programming, all in just a few simple clicks. Our comprehensive solution takes you through the entire process, from data cleansing to model construction and prediction generation, ensuring you have everything you need. You can feel secure in your decisions, as we provide insights into the rationale behind AI-driven choices, empowering your business with actionable data insights. Experience the ease of data analytics within minutes, eliminating the necessity for coding. Our streamlined approach allows you to build machine learning algorithms, interpret results, and forecast outcomes with just a single click. Transition from raw data to valuable analytics seamlessly, without writing any code. Just upload your dataset, pose questions in everyday language, and receive the most effective model tailored to your data, which you can then easily share with others. Enhance customer productivity significantly, as we assist companies in harnessing no-code machine learning to elevate their customer experience and satisfaction levels. By simplifying the process, we enable organizations to focus on what truly matters—building strong relationships with their clients.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Citrusˣ
Website
www.citrusx.ai/
Vendor Details
Company Name
ScoopML
Country
United States
Website
www.scoopml.app
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
Product Features
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