Qentro

What we do

One partner across the AI stack.

Qentro brings infrastructure, private AI and business operations together, so the AI you rely on runs well, stays secure, and fits how you work.

  1. Layer 01Infrastructure

    AI Infrastructure

    Day-2 operations for neocloud and AI data center operators: a custom operating process for your teams and vendors, and an AI platform that manages the full lifecycle, from procurement to return to service.

    • Operating process, SOPs and roles
    • Multi-vendor tickets, shipments, spares and RMA in one platform
    • AI-assisted resolution: faster fixes, fewer engineer hours
    Explore AI Infrastructure Pilot With Us
  2. Layer 02Private AI

    Private AI

    Run AI models in an environment you control, for companies with sensitive data or valuable intellectual property.

    • Local AI on hardware you own
    • AI inside your private cloud
    • A privacy design you approve before anything is built
    Explore Private AI
  3. Layer 03Application

    AI for Business

    Practical AI for growing businesses and nonprofits: redesign the work, connect your tools, and apply AI where it creates measurable value.

    • Workflow redesign and automation
    • AI assistants, agents and custom tools
    • Start with a free 30-minute consultation
    Services & Pricing

How we work

Start with your business. Build what fits.

Leave your team ready to carry the work forward.

01

Understand

Clarify what needs to change: the business, team, work, constraints, and desired result.

02

Design

Define how the work should flow and what people, rules, automation, and AI should each do.

03

Build

Select, customize, integrate, or build the AI and tools that support the improved process.

04

Enable

Put it into practice, equip the team to operate it, measure results, and keep improving.

AI adoption principles

Building AI the Right Way

Successful AI adoption is about redesigning how work gets done and making deliberate choices about people, AI, automation, data, privacy, and systems.

Qentro’s core idea

Use the simplest reliable approach that creates meaningful business value—and add intelligence, autonomy, and complexity only when the work requires it.

01Start With the Work, Not the AI

Start by understanding how work happens today, where time is lost, where decisions are difficult, and where better outcomes are possible.

What problem are we actually trying to solve?

02Redesign Before You Automate

AI can make an inefficient process faster without making it better. Rethink the workflow first, then decide what people should do, what AI should do, and what can be automated.

If we were designing this work today, how should it happen?

03Make Privacy a Design Input

Identify sensitive data, define where it can go, minimize what AI needs to see, and set system-access boundaries before choosing architecture and tools.

What information and access does AI actually need?

04Use the Right Level of Intelligence

A deterministic rule may be cheaper, faster, more predictable, and easier to maintain. Use AI for interpretation, ambiguity, generation, or reasoning. Add agents only when autonomy creates enough value to justify the added cost and uncertainty.

What is the simplest reliable approach that gets the job done?

05Design for Human Judgment

AI can research, analyze, generate, classify, and recommend. People provide context, handle exceptions, make important decisions, and remain accountable for outcomes.

Where does human judgment still matter?

06Measure the Outcome, Not the AI

Measure what changes in the work: time saved, cost reduced, quality improved, errors avoided, customer experience improved, or revenue enabled. Technical sophistication alone does not make a successful business solution.

What business outcome should improve?

Choosing the Right Level of Intelligence

Match technology to the nature of the work. Balance predictability, flexibility, cost, reliability, and operational complexity.

Deterministic Rules
Predictable, fast, low cost, and easy to test. Best when the logic and expected outputs are known.
Automation
Connect systems and execute repeatable steps without unnecessary model variability.
AI-Assisted
Use when interpretation, generation, classification, ambiguity handling, or reasoning creates value.
Agentic
Use for multi-step, adaptive work only when greater autonomy justifies the added cost, complexity, and uncertainty.
Human Judgment
Keep people responsible where context, exceptions, accountability, risk, or important decisions require judgment.

Decision rule: Add intelligence and autonomy only when the value justifies the additional cost, complexity, and uncertainty.

AI Should Fit the Work

The right answer may be a better process, automation, an AI-assisted workflow, or a custom solution. Use AI where it creates meaningful value, designed around how the business actually needs to work.

Xiaofang Sophie YangXiaofang “Sophie” YangFounder & CEO, Qentro

Built from operating experience

Technology should solve the right problem.

Xiaofang brings more than 20 years across product engineering, cloud and AI infrastructure, operations, and digital transformation, including leadership roles at AWS, Lenovo, and an AI infrastructure startup.

Her work has spanned strategy through implementation: defining operating processes, coordinating complex technology delivery, enabling teams, and building practical tools that people continue to use.

Improve what matters. Build what lasts.

What are you trying to improve?

Tell me what you are working on, and we will determine whether Qentro can help.

Connect with Sophie