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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
Creating AI solutions necessitates a robust engineering strategy that emphasizes resilience, openness, and repeatability to attain the required quality and agility. Up until now, these initiatives have lacked a solid foundation to tackle these issues amidst a multitude of specialized tools and the rapidly evolving landscape of models and data. A collaborative development platform is essential for automating the creation and management of AI applications that cater to various user roles. By extracting highly detailed customer profiles from organizational data, businesses can forecast behaviors in real-time and on a large scale. AI-driven models can be generated to facilitate continuous learning and to meet specific business objectives. This approach also allows organizations to clarify and demonstrate their compliance with relevant laws and regulations. CognitiveScale's Cortex AI Platform effectively addresses enterprise AI needs through a range of modular offerings. Customers can utilize and integrate its functionalities as microservices within their broader AI strategies, enhancing flexibility and responsiveness to their unique challenges. This comprehensive framework supports the ongoing evolution of AI development, ensuring that organizations can adapt to future demands.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Bamboo
DataRobot
Docker
Google Cloud Platform
IBM OpenPages
Jenkins
Kubernetes
Microsoft Azure
Microsoft Dynamics 365
Integrations
Amazon Web Services (AWS)
Bamboo
DataRobot
Docker
Google Cloud Platform
IBM OpenPages
Jenkins
Kubernetes
Microsoft Azure
Microsoft Dynamics 365
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
Citrusˣ
Website
www.citrusx.ai/
Vendor Details
Company Name
CognitiveScale
Founded
2013
Country
United States
Website
www.cognitivescale.com/platform/
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)
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)
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization