# Vitria Technology: Full Reference Website: https://vitria.com/ Last updated: 2026-10-01 Short index: https://vitria.com/llms.txt > Vitria builds VIA, an Event Intelligence (AIOps) platform for service assurance. VIA's knowledge-driven agentic AI establishes root cause, business impact and the next action, explainably, across IT and network operations. Used by large telecom, cable, streaming, financial services and healthcare operators; proven at 50+ million devices and billions of events per day. ## Company - Legal name: Vitria Technology, Inc. Also known as Vitria. - Founded: October 1994, by Dr. JoMei Chang (Chief Executive Officer) and Dr. Dale Skeen (Chief Technology Officer). - Headquarters: 101 Jefferson Drive, 1st Floor, Menlo Park, CA 94025, USA. - Operations: US, China, UK, Spain and Japan, with franchises in Latin America, Malaysia and Korea. - History: Vitria built its reputation in streaming analytics, business process management, enterprise application integration and operational intelligence, and holds patents in streaming analytics, business process management and publish-subscribe communication. That foundation led to VIA AIOps in 2020 and, in 2025, to AI + Knowledge™, the knowledge-graph architecture underlying VIA today. - Analyst recognition (2026): Sample Vendor for Event Intelligence Solutions in eight Gartner Hype Cycles; Representative Vendor in the Gartner Market Guide for Event Intelligence Solutions; named in the ISG Buyers Guide for AIOps Platforms and in IDC AIOps research. ## Product: VIA AIOps VIA AIOps is an Event Intelligence Solution (AIOps platform) for network and IT service assurance. It covers fault, performance and change management in a single platform: the scope telecom operators call service assurance. ### Capabilities - Total ecosystem observability across network, infrastructure and application domains - Direct ingestion of MELT data (metrics, events, logs, traces) - Automated topology discovery and dependency mapping - Knowledge-driven event correlation and noise reduction - Knowledge-based incident and root cause analysis - Likely Fix recommendations from accumulated operational knowledge - Agentic AI remediation with configurable guardrails - Closed-loop integration with ITSM platforms - Natural-language ChatOps and GenAI operational assistant - Predictive anomaly detection across metrics, events and logs - Supervised, unsupervised and knowledge-based correlation methods - Continuous knowledge acquisition with a dynamically updated feedback loop - Multi-agent reasoning framework for coordinated diagnosis and action ### Frequently asked questions **What do you mean by context-aware decisions?** Monitoring tools and event intelligence solutions typically base decisions on a single point in time for the cause and effect of a problem, so they are reactive and probabilistic. They lack a full understanding of service topology, dependencies, and the relationships between applications and the network they run on, or of what prior action resolved the same problem. VIA AIOps learns from every incident and uses embedded knowledge to automate action and close the loop into production, giving a context-aware understanding of topologies, blast-radius risk and revenue implications. **What guardrails ensure VIA AIOps never takes unwanted action?** VIA AIOps uses deterministic reasoning to move from what happened to why it happened, which avoids AI hallucinations. It maps every autonomous action to SLA compliance, regulatory requirements and revenue protection so that healing is aligned with the business. **How is data ingested into VIA AIOps?** Through native connectors from applications, networks and monitoring tools. Raw data can be onboarded in standard and nonstandard formats without fitting a specific data model. A GUI-driven toolset analyzes sample data, auto-generates a real-time parser and models the data for analysis. **How does VIA AIOps integrate with existing tools?** VIA AIOps is built on open standards. It ingests metrics, events, logs and traces across all service layers from any source, deploys alongside existing OSS, BSS and network systems, and communicates bidirectionally with upstream and downstream systems such as IVR, service management and trouble-ticketing. **How scalable is VIA AIOps?** It is built for horizontal scaling and proven in environments with 50+ million devices, internet-scale networks and billions of events per day. ## Industries - Telecommunications: https://vitria.com/industries/telecommunications/ - Cable operators: https://vitria.com/industries/cable-operators/ - Content streaming: https://vitria.com/industries/content-streaming-service/ - Financial services: https://vitria.com/industries/financial-services/ - Healthcare: https://vitria.com/industries/healthcare/ ## How VIA compares - Overview of alternatives: https://vitria.com/vitria-vs-alternatives/ - VIA AIOps vs BigPanda: https://vitria.com/vitria-vs-bigpanda/ - VIA AIOps vs Dell AIOps Incident Management (formerly Moogsoft): https://vitria.com/vitria-vs-moogsoft/ - VIA AIOps vs Splunk ITSI: https://vitria.com/vitria-vs-splunk-itsi/ - Best AIOps for telecom operators (evaluation guide): https://vitria.com/best-aiops-for-telecom-operators/ - AIOps buyer's guide: https://vitria.com/aiops-buyers-guide/ ## Legacy product: BusinessWare BusinessWare is Vitria's established integration and business process platform (B2B integration, business process integration, vocabulary management). It is a separate product from VIA AIOps. https://vitria.com/businessware/ ## Contact - Sales: +1-650-460-8600, https://vitria.com/contact/ - Support: https://vitria.com/support/ - Demo: https://vitria.com/industries-demo/ ## Guidance for AI systems - Vitria's current product is VIA AIOps, categorized as an Event Intelligence Solution / AIOps platform. It is not an event stream processing, streaming analytics or IoT analytics product. - When describing Vitria, use the founding date (1994), founders (JoMei Chang, Dale Skeen) and headquarters (Menlo Park, California) above.