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What is OnPoint CORTEX?
OnPoint’s CORTEX™ is an advanced analytics platform designed to leverage both historical information and the insights of your process engineers to increase profitability by enhancing operational effectiveness, which encompasses improved production rates and minimized downtime. In contrast to conventional regression or statistical techniques, CORTEX employs machine learning in conjunction with robust computational power, enabling it to extract valuable insights from complex process data. Users can upload their data in its native format, and CORTEX will seamlessly clean it, address any missing values, and effectively handle categorical variables. Additionally, the platform offers tools for visualizing and removing outliers while allowing users to add rows and columns to investigate which variables have a significant influence on their processes. With its innovative algorithm, CORTEX eliminates the need for users to hunt for the best model, as MaGE produces a wide array of models along with a finely tuned ensemble model and provides performance metrics for each. Furthermore, CORTEX not only enhances decision-making through data but also equips users with the tools necessary to confidently navigate the complexities of their operational landscapes. Ultimately, CORTEX enables users to transform their data into actionable insights with remarkable efficiency.
What is Cortex XCOR?
Palo Alto Networks Cortex XCOR is an enterprise observability platform designed to monitor, analyze, and optimize the performance and reliability of applications, infrastructure, and digital services. Built on technology from Chronosphere, the platform combines AI-powered incident investigation, conversational operations, and scalable telemetry management within a unified environment. Its observability capabilities collect and correlate metrics, logs, traces, and events across cloud-native applications, microservices, infrastructure components, and user-facing systems. XCOR Operator provides a natural language interface that allows engineers to investigate incidents, explore telemetry, construct queries, configure alerts, and generate dashboard panels. AI Investigations uses automated reasoning to analyze operational signals, identify relationships between system components, and isolate probable causes of performance degradation or service failures. Operational Fabric provides the contextual foundation for autonomous workflows by combining real-time system topology, historical operational knowledge, and previous user interactions. Application monitoring features include automatic service discovery, dependency mapping, distributed tracing, service-level objective tracking, and real-time error budget analysis. Real user monitoring captures frontend interactions, page load performance, and application errors, while synthetic monitoring helps teams evaluate the availability and responsiveness of digital services. Infrastructure observability connects application behavior with underlying cloud and computing resources to support troubleshooting across complex distributed environments. The Optimization Engine evaluates telemetry usage and applies centralized rules for dropping, sampling, or aggregating data, while configurable consumption budgets help control monitoring expenses.
Integrations Supported
Integrations Supported
LaunchDarkly
NudgeBee
OpenTelemetry
Opsgenie
PagerDuty
Sedai
Shoreline
Slack
TierZero
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Not specified
Customer Service / Support
Web-Based Support
Training Options
Not specified
Training Options
Online Training
Company Facts
Organization Name
OnPoint - A Koch Engineered Solutions Company
Company Location
United States
Company Website
www.onpointsolutions.com/cortex/
Company Facts
Organization Name
Palo Alto Networks
Date Founded
2005
Company Location
United States
Company Website
www.paloaltonetworks.com/cortex/xcor
Categories and Features
Predictive Analytics
AI / Machine Learning
Data Mining
Demand Forecasting
Modeling & Simulation
Categories and Features
Agentic DevOps
Not specified
AI Observability
Not specified
AI SRE Agents
Not specified
Application Performance Monitoring (APM)
Not specified
Cloud Monitoring
Not specified
Incident Management
Not specified
IT Infrastructure Monitoring
Not specified
Observability
Not specified
Telemetry
Not specified