Here is how enterprise AI usually dies.
- 01The strategy deck arrives, and nobody knows who does what next.
- 02The pilot demos beautifully, then falls apart on real work.
- 03The system goes live, and the team quietly goes back to spreadsheets.
- 04Data sits in five systems that disagree with each other.
- 05Sensitive data can't leave the building, so cloud AI was ruled out on day one.
Those five failures are exactly what our five service lines exist to fix.
AI only works when something underneath it does.
A foundation first, then AI
We turn your data, your processes and your rules into a layer AI can read and act on. Without that layer, AI is a chat window. With it, AI can do the work.
Planned and built by the same people
Our engineers work from your office, with your data, until your own team can run it without us. When a project calls for specialists we don't have in-house, we bring them in under our own name and stay accountable for what gets delivered.
Built at a size you can afford
This way of working used to be reserved for governments and the Fortune 500. We deliver it at a scale a mid-sized company can actually buy: one problem, a few weeks, something real to look at.
Five service lines, from “is this worth doing” to “we use it every day”.
Take the whole journey with us, or start at any single point.
AI StrategyWork out what is actually worth doing
We look at your operations before we talk about technology. Where time leaks, where errors creep in, where margin disappears — and which of those AI can fix now, later, or never. You get a plan you can act on: what to build, who owns it, what it costs, when it pays back.
- Operational review
- Use-case ranking
- Payback modelling
- Roadmap
Embedded EngineeringOur engineers work from your office
A forward deployed engineer joins your team, works with your real data and your real process, and ships as they go. Weekly or monthly, until people are genuinely using what we built — not until the code is handed over.
- On-site engineers
- System integration
- Process redesign
- Team enablement
AI ApplicationsSystems people use every day
No generic chatbots. We build against one specific process at a time: search across your own documents, contract and report processing, automation inside approval flows, multi-step agent workflows. A usable version ships first; we iterate from there.
- Document AI
- Knowledge search
- Process automation
- Agent workflows
Private Deployment & InfrastructureAI that runs inside your own building
Open-source models deployed on your own servers. We handle GPU sizing, cluster design and day-two operations. Nothing leaves your network. For organisations under hard data rules, this is usually the only route that works at all.
- Private LLM
- GPU sizing
- Inference ops
- Data stays in-house
Data GovernanceGetting your data to a state AI can use
First the inventory: what data exists, who owns it, what format, how it moves. Then standards, pipelines and quality gates, so AI has something reliable to work from. We built this playbook in scientific testing — one of the messiest data environments there is.
- Data inventory
- Standards
- Quality control
- Pipelines
We know research data. It is the hardest kind there is.
Instruments export in a dozen formats. Every technician writes up results their own way. Records live in LIMS, in spreadsheets, and on paper. Generic governance frameworks do not survive contact with a lab.
We have done this work end to end: the inventory, standards people will actually follow, pipelines that run, and a clean foundation AI can build on.
- We speak the languageInstrument interfaces, lab workflows, testing standards. No ramp-up required.
- Governance aimed at AINot a policy binder for the shelf. A foundation your AI systems can rely on.
- We hand over pipelinesRunning code, not documentation.
From the first conversation to your team running it alone.
Talk
The first conversation is free. Tell us what is slowing your business down. We will tell you where AI helps — and where it does not.
Plan
Priorities, payback, technology choices. Something you can start on Monday, not a report to file away.
Build on site
Engineers join your team and work with real data and real workflows until the thing runs.
Hand over
Documentation, training, operations. The job is done when your team runs it without us.
Where to find us.
ieYou Technology (Ma'anshan) Co., Ltd.
Room 1205, Building B, Innovation & Entrepreneurship Base, Southeast University Science Park, Huashan District, Ma'anshan, Anhui
Serving clients across China.
chase_dai@ieyoutech.com
ZENKAI Fudosan Co., Ltd. (ZENKAI OS)
Libro BLDG 301, 1-1-8 Nakada, Suruga-ku, Shizuoka City, Shizuoka Prefecture
Work in Japan is delivered with our local partner under the ZENKAI OS brand.
+81 54-266-6808 · chase_dai@ieyoutech.com
Thirty minutes. Bring the problem, not a spec.
You don't need a requirements document. Just tell us what isn't working.