Single Source of Truth For Assets & Service Dependencies
Combine multiprotocol, agentless discovery with centralized ITAM, giving IT teams a single source of truth for assets and service dependencies across sites, clouds, and containers.
Collectors
Reach every device
Agentless collectors read infrastructure through the protocols it already speak, nothing to install on the endpoint.
Discovery is the first layer. Inventory, dependency maps, observability, and autonomous action are only as accurate as what the scan returns.
1
Inventory mapping
Map your complete inventory across the hybrid estate. Identify hardware, virtual machines, containers, DBs, and services.
2
Dependency mapping
Pattern-based graphs represent how assets relate, making it easy to pinpoint the affected devices when something fails.
3
Unified data & visualization
Consolidate infrastructure data into a unified, normalized model for ITAM, ITSM, AIOps, AI agents, and change management.
4
Observability & AIOps
Connect metrics, logs, traces, and events to assets and dependencies, giving AI the context to reason accurately.
5
AI agents, stateful
Give agents unified asset, health, and risk context to answer questions, recommend fixes, and trigger workflows.
Conversational AI
Ask your estate. Act on the answer.
Once your estate is discovered and synchronized into the CMDB, conversational AI lets operators, SREs, and cloud teams ask questions in natural language and drive end-to-end ITOps — while collectors quietly keep the data fresh in the background.
Cerne · GenAI coworkergrounded in CMDB
Which services depend on this database?
orders-db is referenced by 6 services — 3 sit on a production path:
Ask in plain language and get answers grounded in the live CMDB and dependency graph — no query language, no swivel-chair between tools.
“Which services depend on this database?”
“What’s impacted if this Kubernetes node fails?”
“Show me all EOL routers in production paths.”
From questions to agentic workflows
Delegate operations to AI agents — run targeted discovery checks, correlate metrics and logs, simulate change impact, and trigger remediation or automation runbooks.
Why it matters
Accuracy is the whole game
Continuous, multiprotocol discovery gives IT teams a living, trusted view of their hybrid infrastructure — so they can eliminate blind spots, cut MTTR, and make confident change decisions.
Eliminate blind spots
Agentless, multiprotocol scans across datacenter, network, cloud, and edge keep every asset and dependency visible — reducing hidden risk and surprise outages.
Cut MTTR
Dependency maps and topology views let teams pinpoint the affected device, trace blast radius, and resolve incidents faster from accurate, real-time configuration data.
Change impact & risk analysis
Topology and dependency maps provide the context to model change risk, run blast-radius analysis, and plan migrations or upgrades with confidence.
A single source of truth
The discovery-driven CMDB becomes the SSOT that ITAM, ITSM, observability, AIOps, and agentic coworkers reference — so everyone works from the same accurate data.
UnityOne AI™ is an agentic intelligence platform for ITOps management, comprising CERNE™, LUMI™, and VEKTOR™. CERNE™ replaces dozens of cloud management tools by unifying DCIM, AIOps, HCMP, FinOps, and GreenOps within a single AI-driven control plane. LUMI™, the AI copilot, provides contextual intelligence, operational recommendations, and workflow automation, while VEKTOR™ enables enterprises to provision, orchestrate, and scale AI factories with the lowest cost-to-serve. The UnityOne AI™ suite enables enterprises to simplify hybrid/multicloud operations, strengthen governance, optimize resource utilization, and accelerate transformation to AI-driven ITOps.
