Product Overview
A mature DCIM foundation — assets, capacity, monitoring, change management — with agentic AI on top, and three deployment models from SaaS to air-gapped sovereign.
Capacity Management
See available space, power, cooling, weight, and network capacity at a glance. Graphical views let you model planned installations, moves, or decommissioning work before anyone touches a rack, so you catch conflicts before they become incidents.
Real Time Monitoring
Capture power, temperature, and humidity data from intelligent devices in real time. Spot issues immediately, then examine individual assets with gauge views and time-series graphs. Report on usage and PUE without manual data collection.
Change Management
Structured workflow tools enforce consistency across every change, track progress, and flag installation issues before work begins. Changes are logged continuously, producing the kind of documented change history your audit and compliance function can rely on.
Asset Management
Find any asset across any part of your estate in seconds. Search results return the physical location, device details, power draw, and connection map, so your team isn't digging through spreadsheets or relying on someone's memory.
Impact Assessment and Analysis
Understand what a failure or planned change actually affects before it happens. Impact analysis maps the equipment, workloads, and obligations downstream of any component, so you can evaluate the risk of a planned outage and notify the right people in advance.
Customer & Contact Management
When an asset issue surfaces, quickly identify the equipment owners, internal contacts, and third-party vendors involved. Maintain an authorized contact list to ensure only the right people can access equipment, with every interaction on record.
Stuck Between Legacy DCIM and Cloud-Only Tools
Legacy DCIM Stalled
The incumbent platforms can deploy on-prem — but they're expensive, dated, and slow to implement, and their new AI features phone home to the vendor's cloud. Their roadmaps have moved on to hyperscale.
Modern SaaS Can't Come Inside
The new generation of DCIM has the experience your team wants — but it's cloud-only. If policy, prudence, or your regulator says infrastructure data stays in your control, it's disqualified before the demo.
The Estate Got Harder Anyway
AI-era rack density is breaking spreadsheet capacity management, auditors want evidence instead of screenshots, and experienced operators keep leaving for cloud roles.
How CenterOS Works
Choose Your Boundary
Start on multi-tenant SaaS, a dedicated private cloud, or deploy entirely inside your own perimeter — the platform is the same in all three.
Connect Your Estate
Import from spreadsheets, NetBox, Ralph or legacy DCIM, then connect PDUs, UPSes, cooling, sensors and servers over the protocols you already run.
Operate With Foresight and Evidence
Capacity checks at planning time, alerts that open SLA-bearing jobs, AI agents under human approval — and an audit trail that doubles as regulator-ready evidence.
Modern DCIM. Real AI. Your Choice of Boundary.
CenterOS brings AI inference, models, and the data they learn from entirely inside the customer's control perimeter, built on a complete and mature data model of assets, power, cooling, and physical connections that makes capacity forecasting, anomaly detection, and impact analysis credible rather than decorative. It delivers AI-assisted change tracking, a continuous evidence trail an auditor will accept, and agentic AI that carries routine operational load under human approval. One platform, three deployment models: multi-tenant SaaS, dedicated private cloud, and fully sovereign on-premises including air-gapped.
A Foundation You Can Trust
Full asset lifecycle with seven-dimensional capacity tracking, live floor plans and rack elevations, monitoring that speaks SNMP, Modbus, BACnet, MQTT, IPMI and Prometheus, and SLA-driven change management — one data model, in production today.
AI With a Safety Harness
CenterosAI agents answer plain-English questions, plan capacity, and correlate incidents. Agents propose, humans approve, the system audits — every recommendation carries a confidence score and a trail.
Deploy Anywhere — Up to Sovereign
Start on SaaS in a week, move to a dedicated private cloud, or run fully on-premises where even the AI runs on your own GPUs — including air-gapped. Same product, your boundary.
Frequently Asked Questions
"Until you use CenterOS, you just won't realise how good it is. As far as data center infrastructure management goes, it's the real thing."
Wade Meyer
Data Center Infrastructure Manager
Vodafone New Zealand
