AI 战略 & Consulting
AI readiness assessment, use-case identification, 企业 roadmap, architecture planning, model selection, and 智能路由 strategy.
Discuss 部署 →NeuralOps 集成d 企业版 AI 架构
围绕你的业务构建的 AI 真实运营。
NeuralOps connects private AI infrastructure, models, agents, data intelligence, automation, and detached 系统s behind a locked, 受治理的 network so intelligence runs inside your business, not around it.
🏢商业 App
→
🖥️设计ated VPS
→
🔐私密 VPN
→
🧠中央 vLLM
🌐 公共互联网 · 已阻止
直接回答
What does AINNA AI provide?
AINNA AI provides 企业 AI infrastructure, private AI, local LLM deployment, agentic AI, automation, data intelligence and 受治理的 NeuralOps patterns for 马来西亚n organisations that need practical de实时ry, not generic demos.
NeuralOps 命令 居中
● SYSTEM 正常
实时 推理 Path
App
VPS
VPN
vLLM
治理
人类 审批
审计追踪
RBAC
加密隧道
仅白名单 VPS
公共：已阻止
私有 AI · 仅 VPN 推理
控制led · 白名单 VPS
主权 · 本地数据控制
受管控 · 人工审批
独立系统 · 确定性操作
智能体 AI · 受管控执行
AI服务
从 AI 基础设施 to 自动nomous 商业 系统
完整的服务栈——策略、私有基础设施、本地模型、代理、自动化、数据智能和受管控部署。
私有 AI 基础设施
私密 vLLM, VPS infrastructure, VPN 加密保护 access, controlled inference, private AI 关卡way, and model hosting with infrastructure segmentation.
查看 架构 →本地 LLM & 模式l 部署
本地 model deployment, evaluation, quantized models, multi-model architecture, model routing and segmentation, inference optimization, and lifecycle management.
探索 LLM Hub →AI智能体
企业版, operations, 财务, customer-support, research, monitoring, and executive-intelligence agents plus 受治理的 multi-agent 系统s.
探索 代理 Hub →智能体 AI 开发ment
PLAN → DESIGN → BUILD → TEST → VALIDATE → HUMAN APPROVAL → DEPLOY → MONITOR, with 审计追踪s and controlled execution.
了解更多 →AI 自动化
工作流, business-process, and data automation; API/系统 integration; scheduled and event-driven operations; human-approval workflows; monitoring.
了解更多 →分离系统开发
AI builds → validate → detach → the 系统 runs. 确定性 系统s can continue operating without continuous LLM inference where appropriate.
了解更多 →数据智能
数据 extraction, document parsing, classification, normalization, validation, reconciliation, and structured business data pipelines.
了解更多 →RAG & 知识 系统
企业版 knowledge base, secure RAG, internal and semantic search, knowledge agents, and document retrieval with 受治理的 answers.
了解更多 →AI Software 开发ment
AI-enabled web 系统s, business applications, internal dashboards, API and database 系统s, automation portals, and custom 企业 工具.
启动 Pilot →AI 治理
人工审批, RBAC, logging, 审计追踪, usage policy, model access control, data boundaries, monitoring, and operational guardrails.
了解更多 →AI 安全 & 主权ty
私密 network architecture, local AI, controlled access, VPN-based inference, VPS segmentation, logging, and policy enforcement.
查看 主权ty →托管 AI / AI 运营
基础设施, agent, workflow, model, and performance monitoring; incident detection; usage reporting; and 系统 maintenance.
启动 Pilot →NeuralOps 服务 技术栈
一个集成的运营层。
每一层都构建在下一层之上——从私有基础设施到业务成果。
▲
商业 成果
运行中 results de实时red through 受治理的智能▲
治理
人工审批 · audit · RBAC · guardrails▲
分离式系统
确定性 系统s that run after stabilization▲
自动化
工作流 · process · event-driven operations▲
AI智能体
执行已定义工作流的受管控代理▲
数据 + RAG
结构d data · knowledge retrieval▲
模式ls
本地 LLMs · multi-model routing▲
私密 基础设施
VPS · VPN · vLLM——锁定网络▲
NeuralOps 基础
The integrated 企业 AI operating architecture行业
围绕真实运营构建的 AI 基础设施。
NeuralOps 适应每个行业的实际运作方式——提供符合运营情境的受管控、私有和分离式 AI。
🛒 零售 & 电子商务
库存 intelligence, marketplace operations, sales analytics, pricing, order automation, and customer-service agents.
库存 智能销售 分析定价 智能订单 自动化需求预测营销 自动化独立式 电子商务
💰 财务 & 会计
银行 statement processing, financial data extraction, reconciliation, reporting, accounting automation, and cash flow intelligence.
银行 状态ment 处理中金融提取对账报告ing日志 备餐arationAnomaly 检测独立式 财务
🏭 制造业
生产 monitoring, predictive maintenance, quality control, machine data, inventory planning, and industrial AI 智能体.
生产 监控预测性维护质量 控制机器 数据供应链 智能维护 工作流s
🏙️ 智慧城市
城市运营智能、基础设施与交通监控、公用事业管理以及公共服务自动化。
基础设施 监控流量 智能Utility 管理资产 管理环境 监控紧急 Coordination
🏛️ 政府 & Public Sector
机构知识、安全的内部AI、文档智能、工作流自动化以及审计与治理。
机构 知识安全 内部 AI文档 智能政策 研究数据主权审计 & 治理
🏥 医疗保健
文档 intelligence, administrative automation, knowledge retrieval, research assistance, and data governance.
文档 智能管理后台istrative 自动化知识 Retrieval研究 辅助ance运行中 分析数据 治理
⚖️ 法律
文档 processing, contract intelligence, knowledge retrieval, classification, and controlled human review.
文档 处理中Contract 智能知识 Retrieval分类研究 辅助ance审计追踪
⚡ 能源 & 水电费
能源 monitoring, grid and asset intelligence, consumption analytics, maintenance, and 预测ing.
能源 监控电网 智能资产 监控消耗 分析预测基础设施智能体s
🚚 物流与供应链
货运监控、路线智能、仓库自动化、库存可见性以及异常检测。
Shipment 监控路线 智能数据仓库 自动化库存 Visibility需求 规划ningException 检测
🏢 属性 & 设施 Mgmt
构建 operations, maintenance automation, energy monitoring, asset management, and tenant service agents.
构建 运营维护 自动化能源 监控资产 管理事件 管理设施 智能
📡 电信
网络 operations, infrastructure monitoring, incident workflow, customer operations, and support automation.
网络 运营基础设施 监控事件 工作流定制er 运营支持 自动化网络 分析
🎓 教育
机构知识、行政自动化、研究辅助以及内部知识检索。
机构 知识管理后台istrative 自动化研究 辅助ance文档 智能Student 服务 自动化知识 Retrieval
行业 × AI 服务 Matrix
服务如何映射到行业。
选择行业以查看推荐的 NeuralOps 服务及对应的行业解决方案页面。
| 服务 | 零售 | 财务 | 制造业 | 政府 | 智慧城市 |
|---|---|---|---|---|---|
| 私有 AI | ✓ | ✓ | ✓ | ✓ | ✓ |
| AI智能体 | ✓ | ✓ | ✓ | ✓ | ✓ |
| 自动化 | ✓ | ✓ | ✓ | ✓ | ✓ |
| 分离式系统 | ✓ | ✓ | ✓ | ✓ | ✓ |
| 数据智能 | ✓ | ✓ | ✓ | ✓ | ✓ |
| 治理 | ✓ | ✓ | ✓ | ✓ | ✓ |
工作原理
How 用户 Reach AI Without Exposing vLLM
The user never connects to the vLLM server directly. 请求s go to the 设计ated VPS first, then the VPS calls the central vLLM through a private WireGuard VPN tunnel.
1
设计ated VPS Node
Your business app, agents, dashboards, and automation run on an isolated VPS. This VPS becomes the only approved execution node for your AI workflow.
→
2
私密 VPN 路线
AINNA creates a WireGuard tunnel between your VPS and the central vLLM server. The VPS IP and tunnel credentials are whitelisted. Public traffic is rejected by 设计.
→
3
控制led vLLM 推理
代理s send prompts through VPN, vLLM returns model output, and operations continue on the VPS. Public API keys are not required, and the model backend is not exposed in the default deployment model.
⏱ 总计: 3-4 天数 to go 实时 (入门版) · 5-7 天数 (商业/企业版)
This private infrastructure layer is one part of the 效率飞轮: 分段 → 智能路由 → Distillation → 分离式系统 → 私密 基础设施. For suitable workloads we use the smallest sufficient layer at each step. 87% token reduction is an internal benchmark on tested patterns.
生态系统
AINNA NeuralOps生态系统 组件s
完成 AI infrastructure stack from local models to autonomous agents.
本地 LLM 服务器
私有 AI infrastructure running on-premise
私有 LLM 基础设施
企业版-grade security and data sovereignty
智能体 AI
自动nomous agents that execute complex workflows
AI 智能体构建器
设计 and deploy custom AI 智能体
本地 LLM 服务器
私有 AI infrastructure running on-premise
私有 LLM 基础设施
企业版-grade security and data sovereignty
智能体 AI
自动nomous agents that execute complex workflows
AI 智能体构建器
设计 and deploy custom AI 智能体
效率飞轮
分段 → 路由 → 蒸馏 → 分离 → 私有基础设施
Each layer reduces unnecessary work for the next. The 系统 gets cheaper, faster, and more reliable the more you use it correctly.
1
分段
Break one large request into small, bounded tasks with clear success criteria.
2
智能路由
Send each task to the smallest sufficient layer: rules, parsers, DB, detached 系统, or model. 升级 only when reasoning is truly required.
3
Distillation
For high-volume, well-scoped tasks, transfer capability from large models into smaller, faster, cheaper specialist models that still meet production 阈值s.
4
分离式系统
Move repeatable, deterministic work completely outside LLMs. PHP/Python microservices, scheduled jobs, and rule engines run with zero token cost after build.
5
私密 基础设施
Run the above inside controlled environments (VPN 加密保护 vLLM, on-prem or regional VPS). 数据 sovereignty and cost predictability by 设计.
结果: lower cost per outcome, faster execution, easier auditing, and compounding savings as volume grows. The flywheel only works when every layer is used in the right order.
当前: 智能路由, distillation for scoped tasks, detached 系统s, and private infrastructure are in production for suitable workloads (internal 87% token benchmark on tested patterns). 路线图: 大r inference clusters and deeper autonomous 层 are 第二阶段 (funding-dependent). The flywheel above shows how the 层 compound.
定价
NeuralOps 服务 规划s
企业版-grade AI infrastructure with VPN-only security. 私有化部署 only. 设计ed for controlled data exposure.
入门版
RM499/月
适用于小型企业和初创公司
- ✅ 分享d VPS instance (isolated multi-tenant)
- ✅ 到中央 vLLM 服务器的 VPN 隧道
- ✅ 访问 to 2 LLM models
- ✅ 100K 令牌/day
- ✅ 标准支持（工单/邮件）
- ✅ 3-4 天接入
最受欢迎
RM1,299/月
适用于成长型企业和电子商务
- ✅ 专用 VPS 实例（单租户）
- ✅ 到 vLLM 服务器的专用 VPN 隧道
- ✅ 访问 to 5 LLM models
- ✅ 500K 令牌/day
- ✅ 包含通用 Agent AI 代理部署
- ✅ 优先支持 (chat + ticket)
- ✅ 5-7 天接入
企业版
RM3,500/月+
For 企业s and high-security needs
- ✅ 多ple dedicated VPS instances
- ✅ 多ple VPN tunnels (redundancy)
- ✅ 访问 to ALL 7 LLM models
- ✅ 定制 rate 限制s
- ✅ 完整 Hermes integration
- ✅ 定制 独立系统 workflows
- ✅ 专属客户工程师
- ✅ 99.9% uptime SLA
架构
NeuralOps 服务 模式l Super-安全d vLLM 基础设施
Not a private LLM per customer. One centralized vLLM server. Authorized VPS instances connect via VPN. Public-facing access is disabled in the default deployment. Hub-and-spoke architecture.
This private infrastructure is the final layer of the 效率飞轮 (分段 → 智能路由 → Distillation → 分离式系统 → 私密 基础设施). 当前 for suitable workloads; larger clusters are 第二阶段.
中央 vLLM 服务器
🔒 仅 VPN · 无公网 IP
WHITELISTED
VPS 客户端 A
WHITELISTED
VPS 客户端 B
WHITELISTED
VPS 客户端 N
Central 推理 Hub
加密 VPN 隧道
Public 访问 Denied
无公网 IP
默认部署中禁用公共端点
VPN-Only 访问
通过加密隧道白名单化的 VPS
Zero 打开 端口s
不暴露推理或管理端口
VPS 隔离
每个 VPS 在云基础设施层面隔离
快照 恢复
变更前快照，支持即时回滚
主权 数据
数据 never leaves your controlled VPS
DENIED
01
NOT 私有 LLM Per 定制er
无按客户端模型隔离。相反，通过安全 VPN 隧道共享单个优化的 vLLM 服务器——更高效且同样安全。
ACTIVE
02
ONE Centralized vLLM 服务器
Single server running 7 LLM models. 完整y utilized GPU resources. Centralized monitoring, updates, and security patches.
LOCKED
03
仅授权 VPS（VPN）
Only 设计ated VPS instances with whitelisted VPN credentials can connect. Public API keys are not required. Public endpoints are not exposed in the default deployment model.
LOCKED
04
私密 Connections Only
推理 ports remain private in the default deployment. 管理后台istrative access is restricted, the model backend is not publicly exposed, and direct GPU access from outside is blocked.
ACTIVE
05
中心辐射拓扑
中央 vLLM 服务器通过 VPN 连接到隔离的 VPS 分支。如果某个 VPS 发生故障，其他 VPS 不受影响。LLM 服务器保持受保护。
ACTIVE
06
审计追踪 & 监控
Every inference request logged. Centralized monitoring across all VPS connections. 完成 auditability for compliance.
DENIED
01
NOT 私有 LLM Per 定制er
无按客户端模型隔离。相反，通过安全 VPN 隧道共享单个优化的 vLLM 服务器——更高效且同样安全。
ACTIVE
02
ONE Centralized vLLM 服务器
Single server running 7 LLM models. 完整y utilized GPU resources. Centralized monitoring, updates, and security patches.
LOCKED
03
仅授权 VPS（VPN）
Only 设计ated VPS instances with whitelisted VPN credentials can connect. 访问 is handled privately, and public endpoints are not exposed in the default deployment model.
LOCKED
04
私密 Connections Only
推理 ports remain private in the default deployment. 管理后台istrative access is restricted, the model backend is not publicly exposed, and direct GPU access from outside is blocked.
ACTIVE
05
中心辐射拓扑
中央 vLLM 服务器通过 VPN 连接到隔离的 VPS 分支。如果某个 VPS 发生故障，其他 VPS 不受影响。LLM 服务器保持受保护。
ACTIVE
06
审计追踪 & 监控
Every inference request logged. Centralized monitoring across all VPS connections. 完成 auditability for compliance.
数据主权 & 安全 政策
Your data never leaves your controlled environment. All inference happens behind VPN. Third-party API calls are avoided where possible, and data exposure to public models is 设计ed to be controlled. 安全 policy (kebijakan keselamatan) is enforced at the network perimeter.
您的 VPS
商业 data stays here. 代理s process, agents execute. 无数据 leaves your isolated zone.
➜
VPN 隧道（加密）
Only prompt text travels through. 完整y encrypted. No stored logs of your data.
➜
LLM 服务器
接收提示 → 返回输出。不存储数据。不记录数据。不共享数据。
数据智能
Transform Raw 数据 Into 结构d 智能
支持ed bank-statement formats can be converted into structured financial records through dedicated parsers and validation. 销售, inventory, listings, advertising, logistics, and customer behaviour require source-specific connectors or custom parser integrations before downstream dashboards and models are built.
数据智能
从运营数据中提取洞察
RAG 知识 基础
使用您的数据进行检索增强生成
Vector 数据base
高-performance semantic search and retrieval
独立式 商业 系统
独立运行的 AI 构建系统
数据智能
从运营数据中提取洞察
RAG 知识 基础
使用您的数据进行检索增强生成
Vector 数据base
高-performance semantic search and retrieval
独立式 商业 系统
独立运行的 AI 构建系统
自动化
Intelligent 编排 Across Your 商业
AINNA automates repetitive business processes across ecommerce, inventory, reporting, listing management, operations, and internal workflows. The goal is not just automation, but intelligent orchestration between data, rules, people, and 系统s.
电子商务 自动化
端到端在线商店管理
库存 仪表盘
实时库存跟踪与提醒
销售 报告 系统
自动mated revenue analytics and insights
预测性 分析
ML-powered 预测ing and trends
电子商务 自动化
端到端在线商店管理
库存 仪表盘
实时库存跟踪与提醒
销售 报告 系统
自动mated revenue analytics and insights
预测性 分析
ML-powered 预测ing and trends
概述
Bridging AI Ambition and Real-World 执行
Instead of relying only on chatbot interfaces, AINNA uses AI as a 系统 builder 设计ing, generating, repairing, and optimizing business applications that continue to operate independently after deployment.
The operating model is the 效率飞轮: 分段 → 智能路由 → Distillation → 分离式系统 → 私密 基础设施. 当前 production for suitable workloads. 87% token reduction is an internal benchmark on tested patterns. 路线图 items (larger clusters, deeper autonomy) are 第二阶段.
专用 AI
每个系统都针对特定业务成果而设计，而非通用对话。
知识 Stays 本地
您的业务逻辑、数据和洞察始终由您掌控——无外部依赖。
独立运营
系统 continue running after deployment, requiring minimal maintenance and zero token costs for execution (infrastructure still applies separately).
效率飞轮
分段 → 智能路由 → Distillation → 分离式系统 → 私密 基础设施. Each layer reduces unnecessary work. 当前 for suitable workloads; 87% token reduction is an internal benchmark on tested patterns.
知识 Stays 本地
您的业务逻辑、数据和洞察始终由您掌控——无外部依赖。
独立运营
系统 continue running after deployment, requiring minimal maintenance and zero token costs for execution (infrastructure still applies separately).
智能体 AI
AI智能体 That 构建 Real 系统
AINNA develops AI智能体 that assist in 系统 planning, code generation, workflow 设计, data mapping, error detection, documentation, optimization, and 系统 repair. These agents are not uncontrolled bots. They operate within clear business rules, human approval 层, and defined 系统 boundaries.
系统 规划ning & 设计
代理s analyze business requirements and architect optimal 系统 structures.
Code Generation & 开发ment
AI 辅助开发生成干净、可投入生产的代码。
错误 检测 & 维修
代理s identify bugs, edge cases, and performance issues then fix them.
受管控 运营
每个代理操作都遵循业务规则，并有人工审批和审计追踪。
系统 规划ning & 设计
代理s analyze business requirements and architect optimal 系统 structures.
Code Generation & 开发ment
AI 辅助开发生成干净、可投入生产的代码。
错误 检测 & 维修
代理s identify bugs, edge cases, and performance issues then fix them.
受管控 运营
每个代理操作都遵循业务规则，并有人工审批和审计追踪。
LLM 技术栈
Three 图层 One NeuralOps 故事
开始 at the secured platform 中心, route through the multi-model orchestra, then deploy on-prem when data sovereignty is non-negotiable.
01
平台 Hub
VPN 保护的中央 vLLM
代理s and VPS nodes connect through whitelisted WireGuard tunnels no public inference endpoints.
您在这里 02模式l Orchestra
7-model vLLM 系统
路线 workloads across specialized models with centralized GPU efficiency and zero per-token cloud billing.
Distil模型蒸馏
Right size for the workload
转移 capability into smaller, faster, cheaper specialist models for high-volume, well-scoped tasks.
03马来西亚 On-Prem
本地 models · zero data leakage
Run models inside your building when PDPA, sector rules, or air-gapped policy require full data residency.
私有 LLM
中央 vLLM 服务器 上锁ed 背后 VPN
The vLLM server is the private inference layer. It runs centrally for performance and model efficiency, but it is not visible to the public internet. Only 设计ated VPS nodes can call it through encrypted VPN.
🔒 私密 access only · 私密 inference ports · 休息ricted admin access · No direct GPU access · 仅白名单 VPS.
VPN-安全d vLLM
vLLM 服务器仅可通过私有 WireGuard 隧道从已批准的 VPS 节点访问。
私有 LLM 后端
模型后端无法从公共互联网直接访问。
代理 执行 Layer
Generic Agent AI, 打开Code, 分离式系统, and Hermes workflows run on VPS, not on the GPU server.
7-模式l 容量
中央 vLLM 可服务多个模型，同时通过仅 VPN 路由保持访问受控。
VPN-安全d vLLM
vLLM 服务器仅可通过私有 WireGuard 隧道从已批准的 VPS 节点访问。
私有 LLM 后端
模型后端无法从公共互联网直接访问。
代理 执行 Layer
Generic Agent AI, 打开Code, 分离式系统, and Hermes workflows run on VPS, not on the GPU server.
7-模式l 容量
中央 vLLM 可服务多个模型，同时通过仅 VPN 路由保持访问受控。
效率 Layer
模型蒸馏 — Right 大小 for the 工作负载
大 general models are powerful but expensive. For high-volume, well-scoped tasks we distil capability into smaller, faster, cheaper specialist models that run with lower latency and lower cost while preserving accuracy for that narrow job. Distillation is an engineering process with evaluation 关卡s, not magic.
Part of the 效率飞轮 (current for suitable workloads; 87% internal benchmark on tested patterns).
分离式系统
系统 That Run 独立ly After Creation
AI 设计s, develops, and validates the workflow once then the detached 系统 runs on PHP, rules, databases, and automation without repeated inference.
This is step 4 of the 效率飞轮 (分段 → 路由 → 蒸馏 → 分离 → 私有基础设施). 87% token reduction is an internal benchmark on tested workloads.
探索 分离式系统 →
治理
控制-首先 AI Adoption
AINNA's model is control-first. 人类-in-the-loop approval, 审计追踪, 系统 logging, access control, role-based permissions, monitoring, observability, and business rule enforcement are included to keep AI adoption safe, explainable, and manageable.
治理 框架
人类-in-the-loop approval, 审计追踪, 系统 logging, access control, and business rule enforcement.
安全且可解释的 AI
每个自动化决策都可追溯和解释，并具有清晰的升级路径。
人类-in-the-循环
审批 workflows for critical decisions with configurable risk levels.
监控 & 审计
完成 logging, observability dashboards, and compliance reviews.
主权 数据 & Kebijakan
Your data never leaves your controlled VPS environment. 安全 policy enforced at network perimeter. No third-party exposure.
安全且可解释的 AI
每个自动化决策都可追溯和解释，并具有清晰的升级路径。
人类-in-the-循环
审批 workflows for critical decisions with configurable risk levels.
监控 & 审计
完成 logging, observability dashboards, and compliance reviews.
案例研究
AINNA 运行中 案例研究
Citation-style summary based on 已验证 operating facts from the 实时 AINNA commerce environment.
上下文
AINNA's AI architecture evolved inside a 实时 multi-store commerce environment with more than 80,000 活跃 SKU, 9,000 月订单量, 30 官方店铺 and RM15M+ 在终身销售额中。 These figures describe the operating environment, not AI performance.
问题
电商 operations required better control over catalogue breadth, order flow, store coordination, reporting and repeatable workflows across channels.
约束
The environment involved multiple stores, frequent product changes, operational reporting pressure and the need to keep deterministic business rules visible.
架构 used
NeuralOps routing, detached 系统s, controlled validation and private AI components were used to separate repeatable work from model-heavy work.
AI 角色
The AI layer handled language-heavy tasks, orchestration support and classification where flexible reasoning helped. It was not used as the only decision point.
确定性 role
独立系统 handled routing, validation, inventory logic, order checks and other repeatable business rules before action was taken.
成果
公开证据支持一种符合真实商业压力的实用 AI 运营模式，而非纯粹实验性演示。
局限性
这是一个运营案例研究，而非受控的学术实验。这些数据不应被解读为通用的 AI 基准声明。
引用信息
Suggested citation: AINNA. "AINNA 运行中 案例研究." AINNA 研究, 2026. See also 研究中心 and NeuralOps 架构.
增长 模式l
提案 1: 可扩展 框架 for SME Transformation
提案 1 represents AINNA's expansion model combining business experience, AI infrastructure, detached 系统 development, and data-driven execution into a scalable framework for SME transformation.
第一阶段: 试点
具有可衡量 ROI 的单一用例概念验证。
第二阶段: Rollout
扩展到多个团队并与核心系统集成。
Phase 3: 规模
全组织范围的 AI 生态系统，实现全面自动化。
提案 1 框架
可扩展 framework for SME transformation.
第一阶段: 试点
具有可衡量 ROI 的单一用例概念验证。
第二阶段: Rollout
扩展到多个团队并与核心系统集成。
Phase 3: 规模
全组织范围的 AI 生态系统，实现全面自动化。
提案 1 框架
可扩展 framework for SME transformation.
应用场景
Built for Real 行业
安全 AI infrastructure tailored to your industry's compliance and data sensitivity requirements.
电商
产品 description generation, customer service agents, inventory 预测ing, and automated listing management across multiple stores.
法律 Firms
文档 analysis, contract review, case law research confidential data stays behind your VPN in the default deployment. No third-party exposure.
医疗保健
患者 data processing, clinical report generation, medical record analysis 设计ed to support PDPA-aligned deployment controls, with data processing kept within the VPS in the default model.
财务
报告 generation, compliance monitoring, fraud detection, risk analysis secure, auditable, with complete inference logging.
政府
Citizen services automation, document processing, policy analysis sovereign AI infrastructure with 马来西亚-based data control.
制造业
IoT 传感器监控、预测性维护、质量控制自动化、供应链优化以及实时代理执行。
数据主权
从 用户 to VPS to vLLM Without Public 曝光
NeuralOps protects sovereignty by separating user access, agent execution, and LLM inference. 用户 reach the VPS/app layer. Only the 设计ated VPS reaches vLLM through VPN.
用户 / 商业 App
使用您的应用或代理 UI
🌐 面向公众的层
HTTPS to VPS/App
📨
设计ated VPS
代理 execution + business logic
✅ 白名单节点
🔐 仅 WireGuard VPN
🔒
🔒
中央 vLLM 服务器
推理 layer only
🚫 No Public 访问
①
用户 停止s at the VPS Layer
The user interacts with your app, dashboard, API, or agent running on VPS. The public side terminates here. The vLLM server is never exposed as a public destination.
②
仅白名单 VPS 可进入 VPN
The VPS uses WireGuard credentials and an approved IP route. If traffic does not originate from an authorized VPS tunnel, the vLLM layer rejects it.
③
vLLM Performs 推理 Only
The LLM server receives a controlled prompt over VPN and returns output. It is not used as a storage layer, web app layer, or public integration point.
How NeuralOps Guarantees 数据主权
马来西亚-基础d 基础设施
All servers and VPS instances are hosted within 马来西亚's borders. 您的数据 subject to 马来西亚n law (PDPA 2010), not foreign jurisdictions like US 云 Act or GDPR.
无第三方 API 调用
Unlike solutions that proxy through 打开AI/Google/xAI APIs, NeuralOps makes zero external API calls. Your prompt never reaches a foreign server. 推理 is 100% local to our infrastructure.
VPS-Level 数据 隔离
Each customer's VPS is isolated at the cloud hypervisor level. No other tenant can access your files, processes, or memory. Your data stays inside your virtual boundary.
Zero-知识 架构
AINNA cannot see your data. We manage the infrastructure, not your content. The VPN tunnel and VPS encryption ensure your data is opaque to everyone except your authorized agents.
PDPA Compliance Built-In
数据 sovereignty is the foundation of PDPA compliance. By keeping personal data within 马来西亚 and under your control, NeuralOps satisfies 章节 129 (data transfer restrictions) automatically.
审计追踪 Without 数据 曝光
All inference requests are logged for compliance but only metadata (timestamp, token count, model used). The actual prompt content is never logged. You get auditability without exposure.
安全 对比
NeuralOps 与替代方案对比
See how NeuralOps compares to 打开AI, Google Gemini, and self-hosted solutions across security, sovereignty, and control dimensions.
左右滑动比较所有选项 →
| 功能 | NeuralOps | 打开AI API | Google Gemini | 自托管 |
|---|---|---|---|---|
| VPN-Only 访问 | ✅ Yes | ❌ No | ❌ No | ⚠️ DIY |
| 无公共 API 端点 | ✅ Yes | ❌ 公共 | ❌ 公共 | ✅ Yes |
| 仅白名单 VPS | ✅ Yes | ❌ 仅 API 密钥 | ❌ 仅 API 密钥 | ⚠️ 手动 |
| WireGuard 加密 | ✅ Yes | ⚠️ HTTPS only | ⚠️ HTTPS only | ⚠️ 您的配置 |
| 数据 Stays in 马来西亚 | ✅ Yes | ❌ 美国服务器 | ❌ US/SG | ✅ 您的选择 |
| PDPA Compliance 就绪 | ✅ 内置 | ❌ GDPR only | ❌ GDPR only | ⚠️ DIY |
| No 训练 on Your 数据 | ✅ 有保障 | ⚠️ Opt-out | ❌ 可能训练 | ✅ Yes |
| 审计追踪 | ✅ 完整 | ⚠️ 有限 | ⚠️ 有限 | ⚠️ DIY |
| Zero 数据 保留 | ✅ Yes | ❌ 30 天数 | ❌ 各不相同 | ✅ Yes |
| Centralized 管理 | ✅ AINNA manages | ❌ 打开AI controls | ❌ Google 控制 | ❌ 您管理 |
Defense in Depth 多-Layer 安全 架构
A layered security chart showing how the public internet is kept outside while only 设计ated VPS nodes can reach the vLLM core through VPN.
治理 & PDPA
访问 控制
WireGuard VPN
Zero 打开 端口s
VPS 隔离
快照 恢复
中央 vLLM
推理 核心
🌐 公共互联网
已阻止
已阻止
🖥️ 设计ated VPS
已列入白名单
已列入白名单
🤖 代理s
控制led execution
控制led execution
公共流量止步于安全环之外
仅白名单 VPS 可通过 WireGuard VPN 进入
vLLM 仍是仅用于推理的受保护核心
FAQ
常见问题
关于模型、VPN 安全、接入、SLA 以及 NeuralOps 与自托管对比的直白解答。
🤖 模式ls
🔐 安全
🚀 入职引导
📋 SLA & 支持
💰 成本
01 模式ls 中央 vLLM 服务器上提供哪些 LLM 模型？
We run 7 open-weight models optimized for different use cases: Llama 3.1 (8B/70B), Qwen 2.5 (7B/32B/72B), Nemotron 3 Ultra, and Mistral Nemo 12B. 模式l availability varies by plan 入门版 gets 2 models, 商业 gets 5, 企业版 gets all 7. All models run locally on our GPU cluster; no external API calls.
02 安全 “仅 VPN 访问”对我的团队实际意味着什么？
Your 设计ated VPS receives a WireGuard config with a private IP (10.x.x.x). Only traffic originating from that VPS through the encrypted tunnel reaches the vLLM server. There is no public IP, no public DNS, no open ports on the LLM server. Your developers SSH into the VPS, run agents/apps there, and those apps call the private vLLM endpoint. The public internet cannot reach the inference layer at all.
03 安全 我的数据会被用于训练或改进模型吗？
Absolutely not. Zero data retention on the vLLM server prompts are processed in-memory and discarded immediately. No logging of prompt content (only metadata: timestamp, token count, model). 您的 VPS is isolated at hypervisor level; AINNA staff cannot access your files or memory. This is contractual and architectural.
04 入职引导 接入需要多长时间，包含哪些内容？
入门版: 3–4 天数. 商业/企业版: 5–7 天数. Includes: VPS provisioning (马来西亚 DC), WireGuard tunnel setup, vLLM model allocation, DNS + SSL for your app subdomain, SSH keys, monitoring agent install, and a 1-hour handover call. 企业版 adds: dedicated account engineer, custom SLA review, and Hermes 关卡way integration if needed.
05 模式ls 超过每日 token 限额会发生什么？
请求s beyond your daily quota return a 429 response with a retry-after header. No overage charges the 限制 resets at 00:00 UTC. 企业版 plans support custom rate 限制s. You can monitor usage via the VPS dashboard or request a 限制 increase through your account engineer.
06 SLA 你们提供什么 SLA，正常运行时间保证是什么？
企业版: 99.9% uptime SLA with financial credits (pro-rata refund for downtime > 0.1%). 商业: best-effort with priority support. 入门版: community-tier monitoring. All tiers include: 24/7 infrastructure monitoring, automated 失败over for VPS layer, and snapshot-based recovery (RPO < 1 hour, RTO < 30 min).
07 模式ls 我可以自带模型或在中央 vLLM 上进行微调吗？
企业版 plans support custom model deployment (GGUF / 安全tensors) on dedicated GPU partitions requires security review and 2-week lead time. 微调 is not offered on the shared vLLM; we recommend running fine-tuning jobs on your VPS (we provide GPU-enabled VPS add-ons) and deploying the adapter/merged model to your dedicated partition.
08 成本 NeuralOps 与在我自己的 GPU 服务器上自托管 vLLM 相比如何？
Self-hosting gives you full control but requires: GPU procurement (H200 lead times), 24/7 ops expertise, VPN + hardening, model optimization, monitoring, and compliance auditing. NeuralOps offloads all infrastructure ops you get a hardened, 已监控, PDPA-compliant inference layer in 天数, not months. 成本 comparison: RM3,500/mo (企业版) vs ~RM25K+/mo for equivalent self-hosted stack (GPU lease + colocation + engineering). 注意： H200 GPU server lease alone (no colo/engineering) ranges RM20K–RM25K/mo the RM25K+ figure reflects the full managed stack.
09 支持 每个层级提供哪些支持渠道？
入门版: 电子邮件/ticket (48h response). 商业: Slack/Teams + ticket (4h business hours). 企业版: 专用 Slack channel + phone + ticket (1h response) + quarterly architecture review. All tiers include access to runbooks, API docs, and the AINNA 状态 page.
10 位置 服务器物理位置在哪里？
All infrastructure central vLLM GPU cluster and customer VPS instances is hosted in 档位 III data centers in Cyberjaya and Kuala Lumpur, 马来西亚. 数据 never leaves 马来西亚n jurisdiction. This satisfies PDPA 章节 129 (cross-border transfer restrictions) by default.
开始 Your 试点 项目
开始 with one workflow. 构建 one 系统. 规模 the intelligence layer from there.
🔒 企业版-grade AI infrastructure with VPN-only security. 私密 API only. 设计ed for controlled data exposure.
研究 evidence: 研究中心 · NeuralOps 架构 · Token 效率 Benchmark
Get 开始ed
围绕您的运营构建 AI。
开始 with one workflow, department, or operational problem and scale through NeuralOps.
