Private deployment + platform licence
Licensed by edition and module, deployed in your environment, with an environment check before delivery.
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Government & state-owned · AI and partnership
What AI do government and state-owned organisations need? Control, auditability and private deployment come first
For government and state-owned organisations the first questions are where the data lives, who can see it and whether everything can be traced. The foundation runs on private infrastructure, works with Chinese model vendors or your own inference service, and treats permissions, visibility, metering and audit trails as core features — not add-ons.
Five things these organisations care about
01
Data stays in-house
Deployed on your own servers with offline licence verification; models can be your own inference service.
02
Clear permissions and visibility
Role, menu and button permissions, plus data visibility by department or portal; anything editable is visible, anything invisible is not editable.
03
Fully auditable
Every AI call records who, when, which model and how many tokens; business operations have an audit log.
04
Replaceable models
Capabilities are decoupled from models; choose Chinese vendors or self-hosted inference and switch without code changes.
05
Security boundaries
Whitelisted workflows with no arbitrary code; outbound calls protected against internal-network access and limited to allowed domains; AI-generated pages sandboxed; sensitive fields encrypted.
Suggested scenarios
Drafting assistanceAI drafts; people review before use
Policy and knowledge Q&AVisible by department, answers from approved content only
Case and work-order flowEvery step recorded and traceable
Asset and expiry ledgerEquipment, contracts, licences and certificates in one place with reminders
DashboardsRead-only queries, bound parameters, capped result size
How we work with these organisations
Custom development on the foundation
Requirements and delivery-risk assessment first, then a firm proposal; delivered and accepted in stages.
How it works →Integration with existing systems
Connect existing OA, business and finance systems through the open API or workflow nodes, with signed requests, quotas and controlled callbacks.
Contact →We have the technical groundwork for this, but we complete a requirements and delivery-risk assessment before giving you a firm proposal.
Delivery scope
Included
- Requirements and delivery-risk assessment, environment check
- Private deployment, organisation, permissions and visibility
- Scenario configuration, composition and any module extensions needed
- Model connection (Chinese vendors or self-hosted) and fallback configuration
Not included — said before the proposal
- No model training or fine-tuning
- Security-level assessments are carried out by qualified bodies; we supply system documentation
- No approvals or official replies on the organisation's behalf
- Classified systems are out of scope
FAQ
Can we use Chinese models?
Yes. The platform connects directly to Chinese vendors such as Qwen, Zhipu and Baidu, or to your own inference service via an OpenAI-compatible interface.
How long does delivery take?
Typically about 1–2 weeks for deployment and the first scenario, 3–6 weeks for process composition and 6–12 weeks for deep modules and integration; the assessed proposal is what counts.
Can problems be traced?
Yes. AI calls are metered and logged, each workflow step is stored, and business operations are audited; raw errors go to logs, never to end users.
Start with a requirements and delivery-risk assessment
Tell us about your business and data boundaries; we assess feasibility, risk and a staged plan before quoting.