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What is XSOLIS CORTEX?

CORTEX signifies a revolutionary step forward in utilization management software, offering an all-encompassing 360° solution designed to effectively manage the intricacies of utilization management and revenue cycle operations. Fueled by a sophisticated machine learning engine and real-time predictive analytics, CORTEX ensures timely and appropriate case handling, whether by the designated personnel or through established exceptions. By merging precision medicine with a solid base of evidence-based practices, CORTEX improves the assessment of patient populations through its real-time machine learning models. Our analytics solutions have successfully made their mark across hospitals and health plans across the nation, showcasing their efficacy. For uncomplicated inpatient cases, CORTEX simplifies the process by automating decisions based on your specific criteria, thereby significantly alleviating staff workload. Conversely, in the face of complex cases, CORTEX provides your team with essential insights to support informed decision-making. This innovative strategy offers substantial advantages to both payers and providers, leading to enhanced healthcare outcomes and operational efficiency. Additionally, CORTEX's flexibility enables it to adapt to the evolving demands of the healthcare environment, ensuring that it continues to provide lasting value. As a result, CORTEX not only addresses current needs but also positions itself as a long-term partner in healthcare management.

What is CognitiveScale Cortex AI?

Developing AI solutions requires a comprehensive engineering approach that prioritizes durability, transparency, and consistency to achieve the desired levels of quality and nimbleness. So far, these efforts have often suffered from a lack of a strong foundation, making it challenging to navigate through an array of specialized tools and the fast-changing environment of models and data. A collaborative development platform is crucial for streamlining the creation and oversight of AI applications tailored to diverse user roles. By leveraging detailed customer insights derived from organizational data, companies can predict behaviors in real-time and at scale. This enables the generation of AI-driven models that support ongoing learning and align with specific business goals. Furthermore, such a strategy empowers organizations to articulate and ensure adherence to pertinent laws and regulations. CognitiveScale's Cortex AI Platform meets enterprise AI demands with a suite of modular solutions. Clients can access and incorporate its features as microservices within their larger AI frameworks, thereby boosting adaptability and responsiveness to their distinct challenges. This holistic structure not only fosters continuous advancement in AI development but also guarantees that organizations remain prepared for future challenges while enhancing overall operational efficiency.

Media

Media

Integrations Supported

Integrations Supported

Amazon Web Services (AWS)
Archer
DataRobot
Databricks
Git
Google Cloud Platform
IBM Cloud
Kubernetes
Microsoft Azure
Microsoft Dynamics 365
Microsoft Excel
Microsoft PowerPoint
Microsoft Word
SAP CRM
SAP GRC
Salesforce
Snowflake
Splunk Cloud Platform
Swagger
Visual Studio Code

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

XSOLIS

Date Founded

2013

Company Location

United States

Company Website

www.xsolis.com/solutions/cortex

Company Facts

Organization Name

CognitiveScale

Date Founded

2013

Company Location

United States

Company Website

www.cognitivescale.com/platform/

Categories and Features

Categories and Features

AI Development

Not specified

Machine Learning

Not specified

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