AI Agent Development
We design, build and ship production AI agents — assistants that retrieve from your own data, call your tools and take real actions, with evaluation and guardrails built in.
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AI agents · Automation · Global websites
We build AI agents that actually ship
Jinyi Solutions is a Shenzhen software team that turns AI ideas into working systems: agents that read your documents, call your tools and take real actions — plus the multilingual websites and internal automation around them.
Free 30-minute scoping call
Fixed scope, fixed price
Senior engineers, no outsourcing
What we do
Four things we do well
Most of our work starts with one of these and grows into the others.
Global Multilingual Websites
Corporate and product sites in up to eight languages — mobile-first, structured for search and AI answers, and wired to WhatsApp so enquiries actually reach a human.
Learn moreDigital Transformation & Automation
We map the manual work inside your business and replace it with systems: order flows, approvals, reporting and integrations between the tools you already pay for.
Learn morePrivate Domain & System Integration
Own your audience and your data: membership, subscriptions, messaging and analytics on infrastructure you control, connected to everything else by API.
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8
languages on every site we ship
60k+
lines of platform code we wrote and run
5
live products running on our platform
<24h
typical first reply on WhatsApp
We work with
E-commerce
Consumer electronics
Manufacturing
Professional services
Media & content
Selected work
Things we built that are live right now
Not mockups. Every case below is running in production and you can open it yourself.
01
OCPS — an enterprise automation and AI integration platform
A multi-tenant platform that lets a small team generate and operate complete products: unified gateway, 27 backend services, AI runtime, code generator and developer console.
Read the case study
02
v1-plastic — a manufacturing trade portal rebuilt for speed and mobile
An industry portal with thousands of articles and product listings, rebuilt around a proper content architecture, a fast mobile experience and an enquiry path that actually converts.
Read the case study
03
Asset site network — five multilingual products on one platform
SoundLibs, EarHubs, PlayLibs, AllOfTools and StockLibs: five live consumer products running on the same platform, each with eight-language content, membership and analytics.
Read the case study
How we work
A short path from idea to production
Four steps, each with a deliverable you can review before we move on.
Discovery call
We look at the workflow, the data you already have and what success means. You leave with a written scope and a fixed price.
Architecture & prototype
We pick the model, the retrieval strategy and the tools, then build a narrow prototype on your real data within the first two weeks.
Build & evaluate
Weekly demos. Every agent path gets a test set, so improvements are measured rather than guessed.
Launch & iterate
We deploy, watch the traces for the first weeks, and keep tuning. You get the code, the docs and a handover session.
Why teams pick us
Small team, senior work, no hand-off risk
01
Agent-first engineering
We build agents as software — typed tools, evaluation sets, traces and rollback — not as prompt experiments.
02
We own the platform
Five products run on infrastructure we wrote ourselves. You get platform-grade delivery, not a template install.
03
Multilingual by default
Every site we ship is built for eight languages and RTL from the first line of code — not translated afterwards.
04
One person who answers
WuXuan is your technical contact from the first message to launch. No account manager telephone game.
FAQ
Questions we get before every project
What does an AI agent project cost?
A focused agent — one workflow, one or two data sources — usually starts around US$6,000–12,000. Multi-agent systems with several integrations are quoted after a scoping call, and you always receive a fixed price before work begins.
How long does a project take?
A prototype running on your real data within two weeks. A production system with evaluation, integrations and handover typically takes 4–8 weeks. Websites of the kind we build go live in days, not quarters.
Which AI models do you use?
We are model-agnostic. Hosted models from OpenAI, Anthropic or Qwen, or open-weight models on your own GPU when data cannot leave your premises. The model layer stays swappable so you are not locked in.
Do we own the code and the data?
Yes. Source code, prompts, evaluation sets, documentation, cloud accounts and domains are all transferred to your ownership at handover. There is no proprietary licence and no runtime dependency on us.
How do you handle data privacy and security?
Data stays in the region you choose, access is least-privilege, and secrets live in environment configuration rather than in code. We sign an NDA before scoping and can work entirely inside your own cloud account if you require it.
Can you work with a team in another time zone?
Yes. We are in Shenzhen (GMT+8) and work daily with clients in Europe, North America and Asia. WhatsApp gives you a fast channel with WuXuan, and we schedule calls in your working hours.
Ready to build your AI Agent?
Tell WuXuan what the workflow looks like. You get an honest read on feasibility, a delivery window and a fixed price — before you commit to anything.
No sales team. You talk to the engineer who will build it.