QentroTeams work in silos
Handoffs between engineering, onsite, procurement, logistics and vendors run on email and chat, and issues stall between them.
The Day-2 gap
Launching a data center is a project. Running it is a discipline.
Hyperscalers build operations teams and tooling in-house. Newly launched operators usually start with email, chat and spreadsheets.
Tracking is manual
Shipments, spares, assets and RMAs live in spreadsheets, and tracking numbers get checked by hand.
Engineers fight the same fires
Known issues get diagnosed from scratch every time, eating engineer hours.
Downtime costs capacity
Every hour hardware sits out of service is capacity you cannot sell.
What Qentro delivers
Process first. Then a platform that runs it.
We design how your teams should work together, then configure the platform around that process, not the other way around.
Custom Operating Process
Built around your teams, sites, vendors and tools, so everyone knows who does what and what happens next.
- Workflows for daily maintenance, incidents, spares and RMA
- SOPs for onsite and remote engineers
- Roles and responsibilities across engineering, onsite, procurement, logistics and HQ
- Clear handoffs, escalation paths and a vendor coordination model
- Onboarding so new engineers ramp quickly and the site runs on its own
Operations Intelligence Platform
One system for the full lifecycle, customized to your process instead of a rigid ERP or a tool full of features you will never use.
- Procurement, logistics, inventory and asset records connected in one place
- Multi-vendor management: one view across every vendor’s ticket system
- Automatic shipment tracking with delay alerts
- Spare-parts thresholds and reorder alerts
- Asset, configuration and warranty history
- Issue and RMA workflow from failure to return to service
The full lifecycle, connected
From procurement to back in service.
Every asset, part, shipment and issue lives in one record, so nothing waits on a spreadsheet or an unanswered email.
- Procurement
- Logistics
- Inventory & Assets
- Maintenance
- Incident & RMA
- Back in Service
AI-assisted resolution: faster fixes, fewer engineer hours
Less engineer time per issue. Faster return to service.
Connects telemetry, diagnostics, incident history, asset and vendor data. Each resolved issue makes the next one faster, and a person approves every action the AI takes.
Diagnose
Identifies the likely root cause from telemetry and past incidents.
Resolve
Automates fixes where possible and recommends them where not.
Drive to Closure
Asks “what is preventing this from being resolved?”, then assigns owners, escalates with vendors and tracks return to service.
Predict
Flags hardware failure risk before it causes downtime.
Design-partner pilot
Pilot Qentro at one of your sites.
We are partnering with a small number of operators running newly launched data centers. You get an operating process and platform tailored to your site at a design-partner fee.
Discover
Map how your teams, vendors, ticket systems and data work today at one site. Set baselines.
Configure
Design your operating process. Load assets, spares, shipments, open issues and RMAs into the platform.
Run & Measure
Run daily operations on the platform. Compare engineer time, resolution time and availability to the baseline.
What you get
- A custom operating process and SOPs your team keeps
- A working platform configured for your site
- Before-and-after metrics on engineer time, resolution time and availability
- Your choice after the pilot: a monthly subscription, or a one-time build you run privately
What we ask of you
- One site or cluster in scope
- An operations lead as point of contact
- Access to internal and vendor ticket data, assets, spares and shipments
- Honest feedback in a 30-minute weekly check-in
Xiaofang “Sophie” YangFounder & CEO, QentroBuilt by an operator
We have run this work, not just studied it.
Sophie brings more than 20 years across hardware, cloud and AI infrastructure. At an AI infrastructure startup she built Day-2 operations from scratch for the company's first U.S. AI cluster.
- Brought a 128-GPU NVIDIA H200 cluster to production within the first month of onboarding
- Built the operations framework from scratch: SOPs, roles and responsibilities, spare-parts tracking, a streamlined RMA process and a vendor resource pool
- Onboarded and guided onsite engineers until the site ran on its own
- At AWS, built fleet capacity tools that raised sellable storage capacity by 30%
Keep hardware in service. Keep engineers on the work that matters.
Running a newly launched data center?
Book a free 30-minute call to see whether a pilot fits your site, or email a short note about your operation.