What’s required for autonomous network and IT operations?
Most platforms tell you what’s wrong. We fix it!
Total Ecosystem Observability
Any vendor, protocol, tool across all technology layers.
Full-featured AIOps platform from observability and correlation & RCA to close-loop automation.
Intelligent Automation
Knowledge-driven Agentic AI delivers autonomous execution from diagnose to remediate.
AI-based correlation and knowlege based correlation across domains and technology layers including supervised, unsupervised, and knowledge graph-based correlation.
AI with Knowledge
Continuously mines for knowledge from topology, telemetry, logs, and past incidents to execute actions.
AI Shared knowledge across AI agents improving accuracy.
Fast Time-to-Value
Quantifiable ROI achieved in less than 60 days.
Easy to install, integrate, manage, configure, and use.
Transformation You’ll Never Outgrow
Scalability required for enabling autonomous operations through a continuously enriched understanding of operational context.
Proven in internet-scale networks with 50+ million devices, billions of events per day, thousands of distinct data streams.
Multi-Domain and Multi-Technology Operational Intelligence is the key.
Managing service assurance independently within each service layer constrains operational productivity, and the service assurance process. Teams are often chasing symptoms within their silo when the root cause of the problem lies outside their visibility and control. Multiple operations support teams may be addressing the same or different symptoms but all of them are attributable to the same root cause. Addressing these service issues is slow and extremely labor-intensive.
VIA AIOps delivers the knowledge required to diagnose and resolve faults and performance issues across the service delivery stack.
This short video shows how VIA AIOps can be used to correlate and diagnose transport network bottlenecks to virtual router resource limitations and end user experience issues on the radio access network devices.
AI Plus Knowledge Embedded Inside
The Entire Event Management Workflow
VIA AIOps operationalizes knowledge directly inside execution workflows so AI can act not just analyze. Knowledge-driven Agentic AI, powered by the VIA Knowledge Plane, delivers a reasoning engine capable of autonomous cross-domain service and service orchestration.
VIA AIOps operationalizes context-aware decisions by leveraging the relationships and intelligence captured in the knowledge graph and Agentic AI. VIA AIOps supports:
- Incident Diagnosis
- Change Impact Prediction
- Remediation Recommendations
- Automated Resolution Workflows
This video demonstrates how VIA AIOps makes decisions with the full awareness of service dependencies, infrastructure context, and potential regulatory or customer impact.
Smarter, more Trustworthy Automation with Knowledge-Driven Agentic AI
The VIA Knowledge Plane autonomously synthesizes fragmented data from knowledge sources such as CMDBs, telemetry, logs, and historical fix data delivering a unified view. ViA AOps doesn’t just observe data. It understands context in the detection, diagnoses, and remediation with unprecedented precision.
By providing AI agents with shared knowledge, VIA AIOps delivers deterministic reasoning to move from what happened to why it happened eliminating AI hallucinations. Every autonomous action is automatically mapped to SLA compliance, regulations and revenue protection to ensure business-aligned healing.
View this demo to see how VIA AIOps has solved the black box problem of Agentic AI replacing a reactive approach with a system of understanding that assures Agentic AI sees a connected system from network to service to revenue.
Continuous Knowledge Acquisition with Self Evolving Knowledge Planes
VIA VIA AIOps builds a continuous learning knowledge-driven system that enables implementation of autonomous operations. Agents use shared knowledge for decision-making, planning and action.
View this recorded session from FutureNet World 2026 with Dr. Dale Skeen Chief Technology Officer and Co-Founder of Vitria Technology to learn how VIA AIOps uses knowledge planes to build and maintain a continuous learning system.
Extensibility
VIA AIOps delivers the extensibility needed to adopt to business change and the addition of new services
Built for horizontal scaling, VIA AIOps reliably supports mission-critical operations that require massive data capabilities.
VIA simplifies the process of data ingestion through Signal Onboarding, a GUI-driven toolset that:
- analyzes sample data
- auto-generates a real-time parser
- models the data for real-time analysis.
Never-before-seen data feeds can be ingested in less than an hour without the need to write code. Data does not need to fit a specific data model or specifications, eliminating the development of thousands of lines of code to ingest and parse data sets. The user can onboard data from off-the-shelf and home-grown tools, new SNMP traps, bulkstats, Syslog, and other data sets in the field without any coding or feature requests.
Transforming Incident Management
from Human Reactive to Agent-Centric Proactive
with VIA AIOps
A new incident management operating model and a new way of working through AI process automation
Proven ROI with cost reduction, better customers’ experiences, and a leaner, more efficient, and effective IT operational staff.
VIA AI: a Scalable Runtime Platform
Coordinates the deployment and execution of hundreds of “Vitria AI Flows”
Supports elastic-scalability, high availability, and blue-green deployments
Utilizing best of breed open-source technologies for scaling real-time AI and streaming analytics
On and off Premise data centers
Massive Scale of VIA AIOps Deployments
