AI wired into the systems you already run,accepted on your business metrics.
An FDE (forward-deployed engineering) company: our engineers work on site, run the PoC on your real data, wire AI into the systems you already use, and are accepted against your business metrics.
- 1–2 wksAlign
- 2–4 wksPoCNo metric, no PoC
- 4–6 wksDeliver
- SubscriptionOperateBelow the bar, no launch
Deployed on your premises
Open-weight Chinese LLMs run in your data center or dedicated cloud; external model APIs can be switched off in one step.
Wired into what you already run
Connectors reach your ERP, OA, drawing vault and file shares — read-only where possible, write-back only through rules and approval.
Accepted on results
Acceptance metrics go into the proposal first. Nothing goes live below the bar, and you get a monthly results report after launch.
LLMs propose, engines decide
Understanding, retrieval and drafting go to the language model. Calculations, parameter checks and writes to business systems are decided by deterministic code and human approval.
1
An employee asks
in WeCom, Feishu, DingTalk or business software
2
Language model
understands, retrieves, drafts — proposes
3
Rules engine
computes numbers, checks parameters, traceable
4
Human approval
owners confirm high-risk actions; submitter ≠ approver
5
Write back
to ERP, drawing vault, task system — fully audited
Client A: from office work to design and production, phase by phase
A chip test-fixture manufacturer. Phase 1 delivered; phases 2 and 3 in delivery. Every figure below was measured in the client's production environment, with its source.
17,020
technical documents indexed through file encryption (20.5 GB)
2,908,473
file records brought under one search (controlled and business documents)
0.82 s
P95 latency for drawing-number and full-text search at 30 concurrent sessions — 5,146 requests, zero failures
82 mswas 22 s
median time to find similar past designs, across 9,390 real cases
Eight solution lines, 38 deliverable capabilities
Every capability is tailored to the client's use case; scope and timeline are set after the use-case workshop.
- Office & knowledgeFor every industry: get every employee using AI, and using it well
- R&D and designAI inside engineering drawings, 3D models and design software
- Production & operationsAI workers for the shop floor, ERP, purchasing and QC
- Safety & emergencyReuse existing cameras to see, judge, act and keep evidence
- FinanceAuditable agents for banks, securities firms and corporate finance
- HealthcarePatient safety, specialist treatment and hospital operations
- Enterprise management & export tradeSOE investment management, export factories and AI training
- Platforms & domestic stackFor IT teams: orchestration, data, gateway, training and compute
Start with a half-day workshop
Your business owner and IT lead join us to pin down 1–3 candidate use cases and their success metrics.
Book a use-case workshop1
Use-case workshop
- Business owner and IT lead attend
- Map 1–3 candidate use cases and the state of the data
- Output: use-case list and draft success metrics
2
PoC proposal
- Data and system boundaries, evaluation-set design
- Milestones, commitments on both sides, acceptance bar
- Output: a PoC proposal ready to sign
3
Run the PoC
- Your real material, in a private or demo environment
- Weekly check-ins with visible metrics
- Output: evaluation report and launch plan