Enterprise AI Infrastructure Delivery
Local small models, wired right into your production flow
Lightweight private deployment and edge appliances keep data in-domain. Around your actual production bottleneck: task standards, the human-machine split, and orchestration of models, inference and hardware — so efficiency gains become real growth.
TL;DR · this service in one paragraph
JS Tech delivers enterprise AI infrastructure: local small-model private deployment and edge appliances where data never leaves your domain. Around each production bottleneck we define task standards and the human-machine split, then orchestrate models, inference and hardware into your workflow — covering cross-vendor model choice, deployment cost, workflow orchestration, scenario debugging and production blockers, with local inference cutting cost per unit of output. Fixed price in contract.
Our niche: the layer we occupy
Businesses don't lack AI capability — they lack the layer that wires capability into production: how tasks get standards, how humans and AI split the work, how models and hardware are orchestrated. That's the layer JS Tech delivers — right-sized AI infrastructure for four-province border businesses.Each layer optimizes alone, yet the mismatch happens between layers — single-point upgrades can't fix the system.
JISHANG Process Appliance · four-piece delivery
One software base — swap only compute and ecosystem. The delivery form is a rack-mountable appliance, the JISHANG Process Appliance, plus three companion capabilities:
FDE
Task standards and the human-machine split first; forward-deployed until it runs
Agent workbench
One base carrying skills, agents and workflow orchestration, on demand
Agent compute terminal
Local database, dual-system design, multi-user controls — data stays in-domain
JiShangCloud center
Elastic tasks to the cloud — same base, swap compute and ecosystem
Industries and pain points
- Consulting · document-heavy
- Finance & accounting · compliance lines
- Manufacturing & supply chain
- Healthcare & legal · privacy-first
- E-commerce & content ops
- Resource-limited SMEs
Integration and delivery checklist
- Task standards and human-machine split SOP
- Model selection and inference config guidance
- Workflow orchestration and system integration
- Scenario debugging and launch support
- Deployment docs and ops handover
- Training and continuous iteration
Delivery process
- 01
Assess scenarios and data, plan and fixed quote within 30 minutes
- 02
Define task standards and the human-machine split, agree acceptance
- 03
Private deployment and workflow orchestration into existing systems
- 04
Pilot, verify, expand — balance due on approval, docs delivered
Three routes, the real differences
The same production bottleneck — what actually changes across the three routes.
| Pure cloud SaaS | Big-vendor appliance | JS Tech local delivery | |
|---|---|---|---|
| Data boundary | Uploaded to a third party | Local but heavy | Local small models, data stays in-domain |
| Deployment weight | Instant but unchangeable | Full appliance buy, long cycles | Lightweight, starts per scenario |
| Cost structure | Per-seat subscription, expensive over time | Large upfront spend | Fixed price per scenario, controllable unit cost |
| Fit to workflow | Generic features, hard to customize | Bundled suite, hard to tailor | Task standards + human-machine split + orchestration, built for your bottleneck |
| Best for | Light collaboration | Well-funded enterprises | Data-sensitive, resource-limited SMEs |
Pricing & engagement
We don't publish a rate card — complexity varies too much per project for a made-up number to be fair to either side. Send us your requirements and within 30 minutes you'll have a figure written into the contract.
1Describe the job
Message us the background and goals; attach source files or references for a sharper estimate.
2Quote in 30 min
A fixed total and schedule based on workload × complexity. If it's not a fit, no hard feelings.
3Fixed-price contract
The total goes into the contract; 50% to start. Bank transfer and official invoicing supported.
4Pay on approval
The balance only after you approve. Full source files, plus 7 days of free tweaks.
Enterprise AI infrastructure FAQ
Can't find the answer? Ask us directly
Does data leave our domain?
With private deployment or the edge appliance, models and knowledge bases run in your own machine room or intranet and inference stays in-domain; remote access happens only for delivery and maintenance, as contracted.
What does a deployment cost?
Fixed quote by scenario scope × deployment form: send your bottleneck and data situation, get a contract-grade total and schedule within 30 minutes. Lightweight options are deliberately sized for SME budgets.
How does it connect to our systems?
Standard interfaces and workflow orchestration into your existing ERP/OA/spreadsheet flows; pilot one scenario first, then expand — no big-bang rebuilds.
Hand us the back office — you just move forward
Describe your needs and get an assessment with a fixed price in 30 minutes. 50% starts the work; the balance is due only after you approve. First engagement can start small.
- First draft in 48 hours
- Pay the balance only after approval
- 7-day free tweaks
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+86 195-5700-6900