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Ruogu Service · Custom AI · ML

Custom AI · ML models

Embed AI into your actual workflow

Cross-industry ML and AI in production — from small proof to daily use

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What this solves

Make AI do real work, not just demos

Many AI projects stall at “looks impressive, can't use it.” Our custom AI / ML work plugs machine learning and AI applications into your workflow across industries — recognition, extraction, prediction, classification, automation — landing where it's used every day.

We start from one dataset, one repetitive manual step, prove it on a small scale, then expand once it works. Your data stays on your own server — safe and under control.

What you get

  • AI capability embedded in your workflow
  • Verifiable performance metrics
  • Model deployment and system integration
  • Annual ops and continuous tuning
  • Data security (stays on your server)

How we work

Prove small, then expand

Stage What happens Time
Need & data Define goals, assess data availability and feasibility 2–5 days
Small proof A PoC on the core; confirm results before scaling 1–2 weeks
Model build Data prep, training / tuning, evaluation Per project
Integration Wire into your system / workflow, roll out gradually From 1 week
Ops & iteration Monitor results, keep tuning (annual service) Long-term

Prove small first, then scale — so the upfront spend doesn't go to waste.

Who it's for

Where AI genuinely helps

01

Automate repetitive work

Lots of eyes-and-hands repetition (recognizing, entering, reviewing) you want handed to AI.

02

Data you haven't used

You've accumulated data but never turned it into prediction, classification or recommendation.

03

Generic AI doesn't fit

You've tried general LLMs, but they don't get your industry terms and process — you need custom.

04

Embed AI into the flow

Not a flashy demo — AI actually wired into your existing system and used daily.

Pricing

Deployment fee + annual service

Same logic as AI MAIL: embed AI into your workflow once, then maintain and iterate yearly — the annual fee covers API and updates, with no extra token fees.

  • One-time custom deployment: need → data → model → launch
  • Annual service: API calls, ops and feature iteration
  • No extra token / API fees

Starting at

Deployment from ¥30,000 + ¥10,000/yr service

Quoted to data volume, scenario complexity and integration depth.

* Start with a small proof (PoC), then expand once it works.

* Data stays on your own server and is never sent out.

Related work

Judgment, already turned into things you can use

Government procurement bids

Bid Self-Review Tool

Upload a thousand-page bid PDF and it automatically checks signatures and seals, pricing compliance and credential validity, and flags leftover project / client names from old templates — no more eyeballing bids during peak season.

  • 1000 pages → report in 25 min
  • 8–16 hours of manual review → minutes
  • 22 disqualification + consistency rules
PDF parsingOCRRisk report
Finance · ERP

Invoice Recognition · Auto Expense

Snap or upload an invoice and it auto-OCRs the amount, tax ID and project, then posts straight into Kingdee Cloud ERP — no more entering invoices one by one, no more month-end overtime.

  • Automatic invoice recognition
  • Direct to Kingdee Cloud · no manual entry
Invoice OCRERP integrationProcess automation

FAQ

What you might want to ask

QMy data is limited / messy — can it work?

We assess first. Many cases work with an off-the-shelf model + light customization, without massive data; if it's not feasible, we'll say so.

QHow accurate is it?

Depends on the case. For invoices / documents, extraction is typically over 95% accurate, always with a manual fallback.

QIs the data secure?

Your data stays on your own server, read-only, never sent out. That's our baseline.

QWill it end up unused?

We insist on proving small then scaling, and wire AI into your existing system — so it's used daily, not a one-off demo.

Want AI that actually does the work?

Tell us the one step you'd most like to automate — we'll prove it small first, then expand.

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