Qinfinite: How Quinnox’s Next-Gen AMS Platform is Revolutionizing Business Operations with Real-time Insights
The shift towards AIOPS (AI Operations) continues revolutionizing IT infrastructure and processes within organizations worldwide.
Read moreQinfinite: The FutureOps Command Center powered by AI
Unleash Real-Time Visibility, Predictive Insights, and Proactive IT Management
Revolutionize Your Business with FutureOps
Qinfinite, the first AI-powered FutureOps platform, seamlessly integrates BizOps, FinOps, and ITOps. Imagine gaining real-time visibility, automating tasks, and optimizing across all operations—from IT to finance and business. Qinfinite's AI transforms your Ops landscape, empowering proactive management for a unified and future-proof business ecosystem.
Observe
Powerful knowledge graph that provides a comprehensive view of IT assets and their relationships across infra, application and business process layers.
Real-time assessment reports with meaningful observations and recommendations.
Engage
Enriched information, root cause analysis (RCA) and solution for actionable event (SOPs).
Performing end-to-end monitoring across infrastructure, applications and business processes and identify events that require action (i.e. Incidents or Service Requests).
Act
Leverage generative AI to create and automate scripts and deployments, achieve continuous improvement by ensuring capacity, availability and robust problem management.
Leveraging the power of generative AI and large language models to transform incident resolution with user or auto approval workflows and validate incident resolution.
Experience continuous validation of IT operations, encompassing Start/End-of-day validation, Post- release/maintenance validation and Application/B2B Integration operation validation among others
Qinfinite harnesses the power of Generative AI to elevate IT Service Management (ITSM) with advanced capabilities that streamline operations, improve decision-making, and enhance overall service quality. Qinfinite offers two primary options for leveraging Generative AI within its platform:
QinOpsLLM - Qinfinite’s Own Large Language Model
Custom-Tuned LLM:
Qinfinite's proprietary LLM, QinOpsLLM, is fine-tuned specifically for the IT domain and can be further tailored to integrate customer-specific data. This ensures that the model's outputs are highly relevant and precise, catering to the unique needs of each enterprise.
Automation Integration:
Qinfinite’s Automation Builder includes plugins to connect with QinOpsLLM. These plugins allow users to set the context and prompt the LLM to retrieve outputs seamlessly within automation workflows, ensuring that sensitive data remains secure within the dedicated Qinfinite instance.
Data Security:
QinOpsLLM is hosted within the customer’s dedicated Qinfinite instance, ensuring that data does not leave the secure environment. This is particularly beneficial for operations involving sensitive data, providing peace of mind regarding data privacy and security.
Integration with Frontier Models
External LLM Plugins:
In addition to its proprietary LLM, Qinfinite offers plugins to connect with leading frontier models such as OpenAI, Gemini, and Claude. This flexibility allows customers to leverage the latest advancements in AI while maintaining control over data flow and security.
OBSERVE
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Powerful knowledge graph that provides a comprehensive view of IT assets and their relationships across infra, application and business process layers.
Real-time assessment reports with meaningful observations and recommendations.
ENGAGE
Enriched information, root cause analysis (RCA) and solution for actionable event (SOPs).
Performing end-to-end monitoring across infrastructure, applications and business processes and identify events that require action (i.e. Incidents or Service Requests).
ACT
Leveraging the power of generative AI and large language models to transform incident resolution with user or auto approval workflows and validate incident resolution.
Leverage generative AI to create and automate scripts and deployments, achieve continuous improvement by ensuring capacity, availability and robust problem management.
Experience continuous validation of IT operations, encompassing Start/End-of-day validation, Post- release/maintenance validation and Application/B2B Integration operation validation among others
Accelerate Your ITOps Transformation Sans The Risk!
With Qinfinite’s six carefully crafted offerings to enable you become a zero incident enterprise
Cross-domain data ingestion and analytics
Real time analysis at the point of ingestion
Historical analysis of stored data
Real-time topology discovery
Discover and map out the IT assets including applications across domains and environments along with their dependencies and relationships
Event and telemetry correlation
Automatic correlation of events across telemetry domains or sources, reducing unnecessary human intervention
Auto healing / Remediation
Real-time recommendations and advisories
Automate a response or trigger external automation systems
Pattern recognition & clustering
Real-time processing of event and telemetry data to detect and predict important incidents
Continuously learn and refine individual patterns of events based on historical data, real-time streaming data, from operator input and reinforcement mechanisms
AI Agents in Qinfinite
Qinfinite enhances its ITSM capabilities with a suite of AI Agents designed to perform intelligent tasks autonomously. The agents are powered with Gen AI or Classical AI based on the use case. These agents can be configured to integrate with customer systems, providing advanced functionalities such as:
A sophisticated macro AI agent that comprehends user intents and accesses relevant information using Retrieval-Augmented Generation (RAG) to generate appropriate responses. It also leverages other Qinfinite micro agents like Talk2DB, Talk2Doc, and Talk2KG to provide accurate and relevant answers to user queries.
Evaluates the potential impacts of planned changes across the IT environment, helping to mitigate risks and ensure smooth transitions.
Identifies the underlying causes of incidents by analyzing patterns and dependencies within the IT infrastructure.
Focuses specifically on infrastructure-related issues, providing detailed insights into the root causes of infrastructure failures.
Analyzes configuration-related problems, pinpointing the sources of configuration errors and suggesting corrective actions.
Identifies if a given ticket represents a unique incident or request based on historical ticket data.
Determines the appropriate support group for a given ticket based on its description.
Identifies the intent of the ticket and maps it to the existing list of intents.
Automates the analysis of log files to detect anomalies, errors, and patterns that indicate potential issues.
Reviews codebases to identify issues, suggest optimizations, and ensure adherence to best practices.
Provides a natural language interface for querying databases, making it easier for non-technical users to extract and understand data. Enables to handle Inquiry tickets.
Allows users to interact with the Knowledge Graph through natural language queries, retrieving relevant information efficiently. Enhances inquiry tickets.
Enables natural language queries to document repositories, simplifying the search and retrieval of information. Able to fetch SOPs/KBs for the given ticket based on the description, categorization.
Summarizes application information based on the Knowledge Graph, providing concise and accurate documentation.
Converts code into documentation, ensuring that technical details are well-documented and easily understood.
Enhances the reported incident information in the ticket by orchestrating Root Cause Analyzer agents to generate a comprehensive description of the incident.
The Macro AI Agent orchestrates other agents like Talk2KG and Code2Doc to extract detailed information about the application or IT landscape. It generates content on the application’s tech stack and functionality from the code, providing a comprehensive view of the application.
Suggests the best standard operating procedure (SOP) or knowledge base (KB) article from the current repository based on the incident description.
Validates resolved tickets to ensure they are properly profiled and reviews the quality of the resolution notes.
Creates knowledge base (KB) articles for incidents by processing the resolution notes of resolved incidents.
Unleash the Power of FutureOps with Qinfinite's AI
Achieve transformative business outcomes through intelligent automation, real-time insights, and proactive IT management.
By leveraging both proprietary and frontier LLMs, Qinfinite ensures that decision-making is informed by the most accurate and contextually relevant data.
Automation of routine tasks and intelligent handling of complex queries reduce the workload on IT staff, allowing them to focus on more strategic activities.
Qinfinite’s architecture ensures data security and scalability, accommodating the growing needs of enterprises without compromising on privacy or performance.
The ability to fine-tune QinOpsLLM with customer data and integrate with various external models and data sources provides unmatched customization, ensuring that Qinfinite’s AI capabilities meet the specific needs of each enterprise.
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