AI for Self Healing IT Operations

The Only Open AIOps Platform that Learns Without Rules
Generative Predictive Causal  AI

Empower Human Ingenuity. Eliminate the Mundane.

Grok does not rely on topology or discovery.

Why does this matter? Today’s IT environments are complex and dynamic. We offer an AIOPs platform that can autonomously adapt, scale and learn without manual rules creation and upkeep from IT Ops teams.

Accurate Incident Identification, Response and Prevention

3x MORE Incident Compression

Incident Predictions 6+ Hours Ahead

Automate over 80% of Recurring Work within 2 Months

30% Opex Reduction within 6 Months

Expert Solutions for Modern Challenges

Reduce Costs, Boost Productivity, Strengthen Resilience and Improve Customer Experience with Transformative AI Solutions for IT Operations

Rapid Incident Identification & Noise Cancellation

Achieve 90% more incident compression post de-duplication. Instantly analyze vast amounts of data and identify the root cause of issues with precision.

AI-Based Incident Response

Drive accurate, fast incident response and improve business resilience. Through observation and advanced anomaly detection techniques, Grok intelligently prioritizes and automates the investigation and resolution process by grouping issues that share the same root cause.

Proactive Problem Identification

Proactively manage and resolve top recurring issues. Grok autonomously identifies patterns, prioritizes problems based on frequency and impact while providing recommendations on fixing underlying root causes.

Incident Prevention

Grok presents actionable predictions hours in advance of emerging incidents. Grok also dynamically ties recommended automations to detections, presenting a prioritized list of remediations and actions based on severity and frequency.

Customer Logos

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Trusted by Innovative Businesses Globally

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The Next Generation of AIOps Begins Here

Grok employs composite AI to observe and synthesize telemetry. It autonomously groups symptoms based on common causes. Over time, it learns to label these patterns in human-friendly terms and prioritizes detections based on user actions. With the use of GenerativeAI, Grok provides both context and recommendations based on likelihood of success when its machine learning models have low confidence rates on outcomes.

AIOps Re-Invented for Modern Environments

Grok has re-imagined what AI and machine learning can accomplish for modern IT organizations. “Doing more with less” is paramount, but being able to support and deploy a solution within complex infrastructures with hybrid legacy and modern day cloud- and container-based architectures is critical. Grok AIOps was built with this in mind. Grok supports both on-premise and cloud-native tools and is scalable to the most complex environments.

Intelligent Integration

Analyze events from any source and intelligently construct event stream to process only what is relevant

Correlation & Probable Root Cause

Automatically correlate, group, contextualize and identify common underlying issues and probable root cause

Anomaly Detection

Proactively analyze real-time performance data stream to find & identify anomalous infrastructure behavior and take action

Noise Reduction

Correlate and cluster events to reduce noise with real-time machine learning model and focus on issues that matter

Early Detection & Incident Prediction

Proactively analyze real-time event stream to identify leading indicators of incidents and take action before an outage occurs

Automated Workflow & Enrichment

Automatically enrich and assign action and workflow without the use of static rules

The Next Generation of AIOps Begins Here

Grok employs composite AI to observe and synthesize telemetry. It autonomously groups symptoms based on common causes. Over time, it learns to label these patterns in human-friendly terms and prioritizes detections based on user actions. With the use of GenerativeAI, Grok provides both context and recommendations based on likelihood of success when its machine learning models have low confidence rates on outcomes.

Associative Clustering

Leverages Grok’s representational memory to analyze and self-learn from vast, multidimensional data sets, identifying subtle patterns and correlations that traditional methods miss. As Grok processes more data, its AI continuously improves, grouping related events and logs into detections.

GrokFix

Flexible runbook automation that models expert decision-making to triage, investigate and resolve issues before human intervention. With an intuitive drag-and-drop interface, operators can create and manage automations. Used in conjunction with AI Automation Pipeline.

Anomaly Detection

Serves as an early warning system and precedes clustering and classification in Grok’s AI architecture. Also employed for continuous analysis of real-time data streams to identify subtle variations and seasonal patterns.

Automation Pipeline

Grok uniquely generates a prioritized Automation Pipeline without the need for offline or manual analysis. By leveraging a recommendation engine, it identifies and ranks remediations based on impact and frequency, informing engineers whether automation or a problem ticket is needed.

Classification

 Employed after associative clustering to add context, distinguishing between patterns to determine which groups require action. Over time, Grok learns to identify and prioritize critical detections, automatically surfacing incidents with relevant context and recommendations for action and automations.

GrokOmni

Proprietary technology that enables quick ingestion of event and data streams without the need for complex algorithm development or toolkits. Grok rapidly converts raw data into a format for consumption by our ML models. With no data preparation or manipulation required, our customers accelerate time to value by at least six weeks.

Reinforced Learning

Grok provides operators the ability to override recommendations and ‘label’ known detections so that Grok can improve its model. Grok learns from feedback to enhance decision-making and adaptability over time.

GrokGuru

Employs GenerativeAI to automatically to deliver real-time summaries, probable root causes, and personalized, actionable recommendations for fixes.

IT Infrastructure

Applications

Devices

Security &
Compliance

EMPLOYEE JOURNEY

Granular End User
experience data and
analytics

Automated Endpoint
Remediation

Aternity DXI​
(Benchmarking)

Business Impacts

Targeted Insights

EMPLOYEE EXPERIENCE

Granular End User
experience data and
analytics

Automated Endpoint
Remediation

Aternity DXI​
(Benchmarking)

Employee
Productivi

Employee
Happine

Employee
Retentio

Employee
Engageme

Associative Clustering

 Uses Grok’s representational memory to analyze and self-learn from vast, multidimensional data sets, identifying subtle patterns and correlations that traditional methods miss.

Classification

Employed after associative clustering to add context, distinguishing between patterns to determine which groups require action. Over time, Grok learns to identify and prioritize critical detections.

GrokFix

Flexible runbook automation that models expert decision-making to triage, investigate and resolve issues before human intervention. Employs an intuitive drag-and-drop interface.

GrokOmni

Allows for quick ingestion of event and data streams without the need for complex algorithm development or toolkits. Eliminates time from data preparation, accelerating time to value by 6 weeks or more.

Anomaly Detection

Serves as an early warning system and precedes clustering and classification in Grok’s AI architecture.

Reinforced Learning

Grok provides operators the ability to override recommendations and ‘label’ known detections so that Grok can improve its model. Grok learns from feedback to enhance decision-making.

Automation Pipeline

Grok uniquely generates a prioritized automation queue without the need for offline or manual analysis. By leveraging a recommendation engine, it identifies and ranks remediations based on impact and frequency.

GrokGuru

Employs GenerativeAI to automatically deliver real-time summaries, probable root causes, and personalized, actionable recommendations for fixes.

Our Recognition and Awards

Built on Numenta's HTM technology, Grok is one of the most impressive ai products available.
NETWORK WORLD
. Self-learning algorithms in unsupervised layers deliver immediate results.
OMDIA
Grok named one of Gartner's "Cool Vendors".
Gartner Cool Vendor
Built on Numenta's HTM technology, Grok is one of the most impressive ai products available.
NETWORK WORLD
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NETWORK WORLD