A private AI agent platform for SOEs, central enterprises, regulated industries and private companies. Fully deployed inside your network. Data never leaves. Works air-gapped.
Kickoff on contract signing · 8-week delivery · ¥200,000+
Against tightening data security and compliance requirements, central enterprises, SOEs, finance, energy, and private companies are being asked to accelerate AI adoption in core business scenarios.
But adoption is not 'install ChatGPT'. Regulatory requirements around data security, domestic-stack compliance, and auditability mean open SaaS tools are not an option.
What you need is an AI system that runs inside your own data center.
01.
Meets MLPS-level protection requirements
02.
Data must not leave the country
03.
OS, database, and chip localization
04.
Every AI decision must be traceable
Commitment 01
100%
Model weights, inference, vector database, dialogue logs — all within your network. Physically isolated. Works air-gapped.
Commitment 02
100%
Compatible with mainstream domestic OS, databases, CPUs and accelerator cards. Tested against domestic hardware and software certification.
Commitment 03
8 wk
Clear milestones, visible deliverables every two weeks. No marathon engagements.
Each layer is independently replaceable, with no vendor lock-in. We integrate with what your infrastructure already has — no rebuilding what works.
Layer 1
Web · WeCom · DingTalk · OA integration
Your staff's existing entry points — no tool switching
Layer 2
Plan → Execute → Verify → Aggregate
Multi-agent collaboration across systems
Layer 3
Primary · Lightweight · Embedding model
Tiered model dispatch — 3–4× throughput
Layer 4
Vector DB · Cache · Message queue
Million-document retrieval < 200ms
Layer 5
Servers · Network · Storage · Domestic OS
Your existing infrastructure — untouched
Every component can be deployed, upgraded and replaced independently. No 'switch vendors, rebuild everything' risk.
Turn internal policies, manuals, contracts and documents into a semantically searchable knowledge base. Staff ask questions in natural language and get precise answers with source citations.
Cross-system automation. Staff describe what they need in one sentence, and multiple agents collaborate to do work that previously required switching between five systems.
Business users ask data questions in plain language. The system writes the query, visualizes the result, and drafts the analysis. No SQL required.
From architecture to data, security is not a patch. It is the design principle.
Defense 01
Fully deployed inside your network with zero external calls. The system runs even when air-gapped.
Defense 02
Agents call business systems using the current user's identity and permissions — never exceeding human authority.
Defense 03
Sensitive fields (salary, ID number, contract value) are masked at the API gateway layer.
Defense 04
Every agent decision and action is fully logged — traceable, auditable, replayable.
Kickoff minutes · Team alignment
Requirements specification signed
Infrastructure validation report
Knowledge base · Agent workflow deployed
Operations manual · Training sign-in
Acceptance certificate · Project handover
You always know where the project stands.
✓ Suitable for
✗ Not suitable for
Package
¥200,000starting
Infrastructure provided by client. Final pricing depends on scenario complexity.
Payment Schedule
Within 5 business days of contract execution
On deployment completion and initial testing
Within 5 business days of signed acceptance
Every milestone is written into the contract. No hidden fees.
Yes. What we deliver is a 'phase-1 agent platform' — not a replacement for all business systems, but a layer of AI agents on top of your existing infrastructure. Knowledge base + 1 Agent workflow + Web interface + training, delivered in 8 weeks.
Not for central SOEs, state-owned enterprises, finance, energy or regulated industries — data cannot leave the country, must meet domestic-stack compliance and must be fully auditable. Some export-oriented private companies also need to protect IP and competitive intelligence.
Compatible with mainstream domestic operating systems, databases, CPUs and accelerators. Passes domestic hardware/software certification tests. The exact stack is decided based on your existing infrastructure — we do not force replacement.
Yes. Model weights, inference, vector database and dialogue logs all run inside your network. Physically isolated, air-gap-ready, with your IT team participating in the full deployment. This is written into the contract.
Companies under 50 people, no dedicated IT, data already fully in the cloud with no compliance requirement — commercial SaaS AI tools are more cost-effective for these cases. We do not take these clients.
Every layer is independently replaceable. Infrastructure upgrades are owned by your IT. Model and Agent workflow upgrades can be handled via an annual contract, or we can train your team to take over.
We offer a free technical consultation. 30 minutes by video. We listen to your situation and give you an actionable roadmap.
No consulting fee · No commitment · 30-minute outcome
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