AI Strategy & Consulting
AI readiness assessment, use-case identification, enterprise roadmap, architecture planning, model selection, and smart routing strategy.
Discuss Deployment →NeuralOps Integrated Enterprise AI Architecture
AI built around your real operations.
NeuralOps connects private AI infrastructure, models, agents, data intelligence, automation, and detached systems behind a locked, governed network so intelligence runs inside your business, not around it.
🏢Business App
→
🖥️Designated VPS
→
🔐Private VPN
→
🧠Central vLLM
🌐 Public Internet · Blocked
Direct Answer
What does AINNA AI provide?
AINNA AI provides enterprise AI infrastructure, private AI, local LLM deployment, agentic AI, automation, data intelligence and governed NeuralOps patterns for Malaysian organisations that need practical delivery, not generic demos.
NeuralOps Command Center
● SYSTEM NORMAL
Live Inference Path
App
VPS
VPN
vLLM
Governance
Human Approval
Audit Trail
RBAC
Encrypted tunnel
Whitelisted VPS only
Public: blocked
Private AI · VPN-only inference
Controlled · whitelisted VPS
Sovereign · local data control
Governed · human approval
Detached systems · deterministic operation
Agentic AI · governed execution
AI Services
From AI Infrastructure to Autonomous Business Systems
A complete service stack strategy, private infrastructure, local models, agents, automation, data intelligence, and governed deployment.
Private AI Infrastructure
Private vLLM, VPS infrastructure, VPN-secured access, controlled inference, private AI gateway, and model hosting with infrastructure segmentation.
View Architecture →Local LLM & Model Deployment
Local model deployment, evaluation, quantized models, multi-model architecture, model routing and segmentation, inference optimization, and lifecycle management.
Explore LLM Hub →AI Agents
Enterprise, operations, finance, customer-support, research, monitoring, and executive-intelligence agents plus governed multi-agent systems.
Explore Agent Hub →Agentic AI Development
PLAN → DESIGN → BUILD → TEST → VALIDATE → HUMAN APPROVAL → DEPLOY → MONITOR, with audit trails and controlled execution.
Learn More →AI Automation
Workflow, business-process, and data automation; API/system integration; scheduled and event-driven operations; human-approval workflows; monitoring.
Learn More →Detached System Development
AI builds → validate → detach → the system runs. Deterministic systems can continue operating without continuous LLM inference where appropriate.
Learn More →Data Intelligence
Data extraction, document parsing, classification, normalization, validation, reconciliation, and structured business data pipelines.
Learn More →RAG & Knowledge Systems
Enterprise knowledge base, secure RAG, internal and semantic search, knowledge agents, and document retrieval with governed answers.
Learn More →AI Software Development
AI-enabled web systems, business applications, internal dashboards, API and database systems, automation portals, and custom enterprise tools.
Start Pilot →AI Integration
ERP, CRM, ecommerce, database, API, and legacy-system integration plus agent-to-system integration and internal systems.
View Architecture →AI Governance
Human approval, RBAC, logging, audit trail, usage policy, model access control, data boundaries, monitoring, and operational guardrails.
Learn More →AI Cost & Token Optimization
Smart routing, model segmentation, small-model routing, deterministic processing, detached systems, and inference optimization.
Explore LLM Strategies →AI Security & Sovereignty
Private network architecture, local AI, controlled access, VPN-based inference, VPS segmentation, logging, and policy enforcement.
View Sovereignty →Managed AI / AI Operations
Infrastructure, agent, workflow, model, and performance monitoring; incident detection; usage reporting; and system maintenance.
Start Pilot →NeuralOps Service Stack
One integrated operating layer.
Each layer builds on the one below it from private infrastructure to business outcome.
▲
Business Outcome
Operational results delivered through governed intelligence▲
Governance
Human approval · audit · RBAC · guardrails▲
Detached Systems
Deterministic systems that run after stabilization▲
Automation
Workflow · process · event-driven operations▲
AI Agents
Governed agents executing defined workflows▲
Data + RAG
Structured data · knowledge retrieval▲
Models
Local LLMs · multi-model routing▲
Private Infrastructure
VPS · VPN · vLLM locked network▲
NeuralOps Foundation
The integrated enterprise AI operating architectureIndustries
AI infrastructure built around real operations.
NeuralOps adapts to how each industry actually works with governed, private, and detached AI that fits the operational context.
🛒 Retail & Ecommerce
Inventory intelligence, marketplace operations, sales analytics, pricing, order automation, and customer-service agents.
Inventory IntelligenceSales AnalyticsPricing IntelligenceOrder AutomationDemand ForecastingMarketing AutomationDetached Ecommerce
💰 Finance & Accounting
Bank statement processing, financial data extraction, reconciliation, reporting, accounting automation, and cash flow intelligence.
Bank Statement ProcessingFinancial ExtractionReconciliationReportingJournal PreparationAnomaly DetectionDetached Finance
🏭 Manufacturing
Production monitoring, predictive maintenance, quality control, machine data, inventory planning, and industrial AI agents.
Production MonitoringPredictive MaintenanceQuality ControlMachine DataSupply Chain IntelligenceMaintenance Workflows
🏙️ Smart City
City operations intelligence, infrastructure and traffic monitoring, utility management, and public service automation.
Infrastructure MonitoringTraffic IntelligenceUtility ManagementAsset ManagementEnvironmental MonitoringEmergency Coordination
🏛️ Government & Public Sector
Institutional knowledge, secure internal AI, document intelligence, workflow automation, and audit & governance.
Institutional KnowledgeSecure Internal AIDocument IntelligencePolicy ResearchData SovereigntyAudit & Governance
🏥 Healthcare
Document intelligence, administrative automation, knowledge retrieval, research assistance, and data governance.
Document IntelligenceAdministrative AutomationKnowledge RetrievalResearch AssistanceOperational AnalyticsData Governance
⚖️ Legal
Document processing, contract intelligence, knowledge retrieval, classification, and controlled human review.
Document ProcessingContract IntelligenceKnowledge RetrievalClassificationResearch AssistanceAudit Trail
🌾 Agriculture & Smart Farming
Farm monitoring, crop and environmental data, resource optimization, sensor integration, and yield analytics.
Farm MonitoringCrop DataEnvironmental IntelligenceResource OptimizationSensor IntegrationYield Analytics
⚡ Energy & Utilities
Energy monitoring, grid and asset intelligence, consumption analytics, maintenance, and forecasting.
Energy MonitoringGrid IntelligenceAsset MonitoringConsumption AnalyticsForecastingInfrastructure Agents
🚚 Logistics & Supply Chain
Shipment monitoring, route intelligence, warehouse automation, inventory visibility, and exception detection.
Shipment MonitoringRoute IntelligenceWarehouse AutomationInventory VisibilityDemand PlanningException Detection
🏢 Property & Facility Mgmt
Building operations, maintenance automation, energy monitoring, asset management, and tenant service agents.
Building OperationsMaintenance AutomationEnergy MonitoringAsset ManagementIncident ManagementFacility Intelligence
🏪 Franchise & Multi-Branch
Branch monitoring, franchise compliance, sales intelligence, inventory monitoring, and commission automation.
Branch MonitoringComplianceSales IntelligenceInventory MonitoringCommission AutomationMulti-branch Agents
📡 Telecommunications
Network operations, infrastructure monitoring, incident workflow, customer operations, and support automation.
Network OperationsInfrastructure MonitoringIncident WorkflowCustomer OperationsSupport AutomationNetwork Analytics
🎓 Education
Institutional knowledge, administrative automation, research assistance, and internal knowledge retrieval.
Institutional KnowledgeAdministrative AutomationResearch AssistanceDocument IntelligenceStudent Service AutomationKnowledge Retrieval
🏗️ Construction & Engineering
Project monitoring, technical knowledge, document processing, asset tracking, and procurement workflows.
Project MonitoringTechnical KnowledgeDocument ProcessingAsset TrackingProgress IntelligenceSafety Documentation
Industry × AI Service Matrix
How services map to industries.
Select an industry to see the recommended NeuralOps services and the direct industry solution page.
| Service | Retail | Finance | Manufacturing | Government | Smart City |
|---|---|---|---|---|---|
| Private AI | ✓ | ✓ | ✓ | ✓ | ✓ |
| AI Agents | ✓ | ✓ | ✓ | ✓ | ✓ |
| Automation | ✓ | ✓ | ✓ | ✓ | ✓ |
| Detached Systems | ✓ | ✓ | ✓ | ✓ | ✓ |
| Data Intelligence | ✓ | ✓ | ✓ | ✓ | ✓ |
| Governance | ✓ | ✓ | ✓ | ✓ | ✓ |
How It Works
How Users Reach AI Without Exposing vLLM
The user never connects to the vLLM server directly. Requests go to the designated VPS first, then the VPS calls the central vLLM through a private WireGuard VPN tunnel.
1
Designated 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
Private VPN Route
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 design.
→
3
Controlled vLLM Inference
Agents 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.
⏱ Total: 3-4 days to go live (Starter) · 5-7 days (Business/Enterprise)
Ecosystem
AINNA NeuralOps Ecosystem Components
Complete AI infrastructure stack from local models to autonomous agents.
Local LLM Server
Private AI infrastructure running on-premise
Private LLM Infrastructure
Enterprise-grade security and data sovereignty
Agentic AI
Autonomous agents that execute complex workflows
AI Agent Builder
Design and deploy custom AI agents
Local LLM Server
Private AI infrastructure running on-premise
Private LLM Infrastructure
Enterprise-grade security and data sovereignty
Agentic AI
Autonomous agents that execute complex workflows
AI Agent Builder
Design and deploy custom AI agents
Pricing
NeuralOps Service Plans
Enterprise-grade AI infrastructure with VPN-only security. Private deployment only. Designed for controlled data exposure.
Starter
RM499/month
For small businesses and startups
- ✅ Shared VPS instance (isolated multi-tenant)
- ✅ VPN tunnel to central vLLM server
- ✅ Access to 2 LLM models
- ✅ 100K tokens/day
- ✅ Standard support (ticket/email)
- ✅ 3-4 day onboarding
Most Popular
RM1,299/month
For growing companies and e-commerce
- ✅ Dedicated VPS instance (single-tenant)
- ✅ Dedicated VPN tunnel to vLLM server
- ✅ Access to 5 LLM models
- ✅ 500K tokens/day
- ✅ Generic Agent AI agent deployment included
- ✅ Priority support (chat + ticket)
- ✅ 5-7 day onboarding
Enterprise
RM3,500/month+
For enterprises and high-security needs
- ✅ Multiple dedicated VPS instances
- ✅ Multiple VPN tunnels (redundancy)
- ✅ Access to ALL 7 LLM models
- ✅ Custom rate limits
- ✅ Full Hermes integration
- ✅ Custom Detached System workflows
- ✅ Dedicated account engineer
- ✅ 99.9% uptime SLA
Architecture
NeuralOps Service Model Super-Secured vLLM Infrastructure
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.
Central vLLM Server
🔒 VPN-Only · No Public IP
WHITELISTED
VPS Client A
WHITELISTED
VPS Client B
WHITELISTED
VPS Client N
Central Inference Hub
Encrypted VPN Tunnel
Public Access Denied
No Public IP
Public endpoints are disabled in the default deployment
VPN-Only Access
Whitelisted VPS via encrypted tunnel
Zero Open Ports
No exposed inference or admin ports
VPS Isolation
Each VPS isolated at cloud infra level
Snapshot Recovery
Pre-change snapshots for instant rollback
Sovereign Data
Data never leaves your controlled VPS
DENIED
01
NOT Private LLM Per Customer
No per-client model isolation. Instead, a single optimized vLLM server shared via secure VPN tunnels more efficient and equally secure.
ACTIVE
02
ONE Centralized vLLM Server
Single server running 7 LLM models. Fully utilized GPU resources. Centralized monitoring, updates, and security patches.
LOCKED
03
Authorized VPS Only (VPN)
Only designated 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
Private Connections Only
Inference ports remain private in the default deployment. Administrative access is restricted, the model backend is not publicly exposed, and direct GPU access from outside is blocked.
ACTIVE
05
Hub-and-Spoke Topology
Central vLLM server connects to isolated VPS spokes via VPN. If one VPS fails, others remain unaffected. LLM server stays protected.
ACTIVE
06
Audit Trail & Monitoring
Every inference request logged. Centralized monitoring across all VPS connections. Complete auditability for compliance.
DENIED
01
NOT Private LLM Per Customer
No per-client model isolation. Instead, a single optimized vLLM server shared via secure VPN tunnels more efficient and equally secure.
ACTIVE
02
ONE Centralized vLLM Server
Single server running 7 LLM models. Fully utilized GPU resources. Centralized monitoring, updates, and security patches.
LOCKED
03
Authorized VPS Only (VPN)
Only designated VPS instances with whitelisted VPN credentials can connect. Access is handled privately, and public endpoints are not exposed in the default deployment model.
LOCKED
04
Private Connections Only
Inference ports remain private in the default deployment. Administrative access is restricted, the model backend is not publicly exposed, and direct GPU access from outside is blocked.
ACTIVE
05
Hub-and-Spoke Topology
Central vLLM server connects to isolated VPS spokes via VPN. If one VPS fails, others remain unaffected. LLM server stays protected.
ACTIVE
06
Audit Trail & Monitoring
Every inference request logged. Centralized monitoring across all VPS connections. Complete auditability for compliance.
Data Sovereignty & Security Policy
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 designed to be controlled. Security policy (kebijakan keselamatan) is enforced at the network perimeter.
Your VPS
Business data stays here. Agents process, agents execute. No data leaves your isolated zone.
➜
VPN Tunnel (Encrypted)
Only prompt text travels through. Fully encrypted. No stored logs of your data.
➜
LLM Server
Receives prompt → returns output. No data stored. No data logged. No data shared.
Data Intelligence
Transform Raw Data Into Structured Intelligence
Supported bank-statement formats can be converted into structured financial records through dedicated parsers and validation. Sales, inventory, listings, advertising, logistics, and customer behaviour require source-specific connectors or custom parser integrations before downstream dashboards and models are built.
Data Intelligence
Extract insights from operational data
RAG Knowledge Base
Retrieval-augmented generation with your data
Vector Database
High-performance semantic search and retrieval
Detached Business System
AI-built systems that run independently
Data Intelligence
Extract insights from operational data
RAG Knowledge Base
Retrieval-augmented generation with your data
Vector Database
High-performance semantic search and retrieval
Detached Business System
AI-built systems that run independently
Automation
Intelligent Orchestration Across Your Business
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 systems.
Ecommerce Automation
End-to-end online store management
Inventory Dashboard
Real-time stock tracking and alerts
Sales Report System
Automated revenue analytics and insights
Predictive Analytics
ML-powered forecasting and trends
Ecommerce Automation
End-to-end online store management
Inventory Dashboard
Real-time stock tracking and alerts
Sales Report System
Automated revenue analytics and insights
Predictive Analytics
ML-powered forecasting and trends
Overview
Bridging AI Ambition and Real-World Execution
Instead of relying only on chatbot interfaces, AINNA uses AI as a system builder designing, generating, repairing, and optimizing business applications that continue to operate independently after deployment.
Purpose-Built AI
Every system is designed for specific business outcomes, not generic conversations.
Knowledge Stays Local
Your business logic, data, and insights remain under your control no external dependencies.
Independent Operation
Systems continue running after deployment, requiring minimal maintenance and zero token costs for execution (infrastructure still applies separately).
Purpose-Built AI
Every system is designed for specific business outcomes, not generic conversations.
Knowledge Stays Local
Your business logic, data, and insights remain under your control no external dependencies.
Independent Operation
Systems continue running after deployment, requiring minimal maintenance and zero token costs for execution (infrastructure still applies separately).
Agentic AI
AI Agents That Build Real Systems
AINNA develops AI Agents that assist in system planning, code generation, workflow design, data mapping, error detection, documentation, optimization, and system repair. These agents are not uncontrolled bots. They operate within clear business rules, human approval layers, and defined system boundaries.
System Planning & Design
Agents analyze business requirements and architect optimal system structures.
Code Generation & Development
AI-assisted development produces clean, production-ready code.
Error Detection & Repair
Agents identify bugs, edge cases, and performance issues then fix them.
Governed Operations
Every agent action follows business rules with human approval and audit trails.
System Planning & Design
Agents analyze business requirements and architect optimal system structures.
Code Generation & Development
AI-assisted development produces clean, production-ready code.
Error Detection & Repair
Agents identify bugs, edge cases, and performance issues then fix them.
Governed Operations
Every agent action follows business rules with human approval and audit trails.
LLM Stack
Three Layers One NeuralOps Story
Start at the secured platform hub, route through the multi-model orchestra, then deploy on-prem when data sovereignty is non-negotiable.
01
Platform Hub
VPN-secured central vLLM
Agents and VPS nodes connect through whitelisted WireGuard tunnels no public inference endpoints.
You are here 02Model Orchestra
7-model vLLM system
Route workloads across specialized models with centralized GPU efficiency and zero per-token cloud billing.
03Malaysia On-Prem
Local models · zero data leakage
Run models inside your building when PDPA, sector rules, or air-gapped policy require full data residency.
Private LLM
Central vLLM Server Locked Behind 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 designated VPS nodes can call it through encrypted VPN.
🔒 Private access only · Private inference ports · Restricted admin access · No direct GPU access · Whitelisted VPS only.
VPN-Secured vLLM
The vLLM server is reachable only from approved VPS nodes through private WireGuard tunnels.
Private LLM Backend
The model backend is not directly reachable from the public internet.
Agent Execution Layer
Generic Agent AI, OpenCode, Detached Systems, and Hermes workflows run on VPS, not on the GPU server.
7-Model Capacity
Central vLLM can serve multiple models while keeping access controlled through VPN-only routing.
VPN-Secured vLLM
The vLLM server is reachable only from approved VPS nodes through private WireGuard tunnels.
Private LLM Backend
The model backend is not directly reachable from the public internet.
Agent Execution Layer
Generic Agent AI, OpenCode, Detached Systems, and Hermes workflows run on VPS, not on the GPU server.
7-Model Capacity
Central vLLM can serve multiple models while keeping access controlled through VPN-only routing.
Detached Systems
Systems That Run Independently After Creation
AI designs, develops, and validates the workflow once then the detached system runs on PHP, rules, databases, and automation without repeated inference.
Explore Detached Systems →
Governance
Control-First AI Adoption
AINNA's model is control-first. Human-in-the-loop approval, audit trail, system logging, access control, role-based permissions, monitoring, observability, and business rule enforcement are included to keep AI adoption safe, explainable, and manageable.
Governance Framework
Human-in-the-loop approval, audit trail, system logging, access control, and business rule enforcement.
Safe & Explainable AI
Every automated decision can be traced and explained with clear escalation paths.
Human-in-the-Loop
Approval workflows for critical decisions with configurable risk levels.
Monitoring & Audit
Complete logging, observability dashboards, and compliance reviews.
Sovereign Data & Kebijakan
Your data never leaves your controlled VPS environment. Security policy enforced at network perimeter. No third-party exposure.
Safe & Explainable AI
Every automated decision can be traced and explained with clear escalation paths.
Human-in-the-Loop
Approval workflows for critical decisions with configurable risk levels.
Monitoring & Audit
Complete logging, observability dashboards, and compliance reviews.
Case Study
AINNA Operational Case Study
Citation-style summary based on verified operating facts from the live AINNA commerce environment.
Context
AINNA's AI architecture evolved inside a live multi-store commerce environment with more than 80,000 active SKUs, 9,000 monthly orders, 30 official stores and RM15M+ in lifetime sales. These figures describe the operating environment, not AI performance.
Problem
Commerce operations required better control over catalogue breadth, order flow, store coordination, reporting and repeatable workflows across channels.
Constraints
The environment involved multiple stores, frequent product changes, operational reporting pressure and the need to keep deterministic business rules visible.
Architecture used
NeuralOps routing, detached systems, controlled validation and private AI components were used to separate repeatable work from model-heavy work.
AI role
The AI layer handled language-heavy tasks, orchestration support and classification where flexible reasoning helped. It was not used as the only decision point.
Deterministic role
Detached systems handled routing, validation, inventory logic, order checks and other repeatable business rules before action was taken.
Outcome
The public evidence supports a practical AI operating model that fits real commerce pressure, not a purely experimental demo.
Limitations
This is an operational case study, not a controlled academic experiment. The figures should not be read as universal AI benchmark claims.
Citation information
Suggested citation: AINNA. "AINNA Operational Case Study." AINNA Research, 2026. See also Research Hub and NeuralOps Architecture.
Growth Model
Pitch 1: Scalable Framework for SME Transformation
Pitch 1 represents AINNA's expansion model combining business experience, AI infrastructure, detached system development, and data-driven execution into a scalable framework for SME transformation.
Phase 1: Pilot
Single use case proof of concept with measurable ROI.
Phase 2: Rollout
Expand to multiple teams and integrate with core systems.
Phase 3: Scale
Organization-wide AI ecosystem with full automation.
Pitch 1 Framework
Scalable framework for SME transformation.
Phase 1: Pilot
Single use case proof of concept with measurable ROI.
Phase 2: Rollout
Expand to multiple teams and integrate with core systems.
Phase 3: Scale
Organization-wide AI ecosystem with full automation.
Pitch 1 Framework
Scalable framework for SME transformation.
Use Cases
Built for Real Industries
Secure AI infrastructure tailored to your industry's compliance and data sensitivity requirements.
E-Commerce
Product description generation, customer service agents, inventory forecasting, and automated listing management across multiple stores.
Legal Firms
Document analysis, contract review, case law research confidential data stays behind your VPN in the default deployment. No third-party exposure.
Healthcare
Patient data processing, clinical report generation, medical record analysis designed to support PDPA-aligned deployment controls, with data processing kept within the VPS in the default model.
Finance
Report generation, compliance monitoring, fraud detection, risk analysis secure, auditable, with complete inference logging.
Government
Citizen services automation, document processing, policy analysis sovereign AI infrastructure with Malaysia-based data control.
Manufacturing
IoT sensor monitoring, predictive maintenance, quality control automation, supply chain optimization with real-time agent execution.
Data Sovereignty
From User to VPS to vLLM Without Public Exposure
NeuralOps protects sovereignty by separating user access, agent execution, and LLM inference. Users reach the VPS/app layer. Only the designated VPS reaches vLLM through VPN.
User / Business App
Uses your app or agent UI
🌐 Public-facing layer
HTTPS to VPS/App
📨
Designated VPS
Agent execution + business logic
✅ Whitelisted Node
🔐 WireGuard VPN Only
🔒
🔒
Central vLLM Server
Inference layer only
🚫 No Public Access
①
User Stops 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
Only Whitelisted VPS Can Enter 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 Inference 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 Data Sovereignty
Malaysia-Based Infrastructure
All servers and VPS instances are hosted within Malaysia's borders. Your data is subject to Malaysian law (PDPA 2010), not foreign jurisdictions like US Cloud Act or GDPR.
No Third-Party API Calls
Unlike solutions that proxy through OpenAI/Google/xAI APIs, NeuralOps makes zero external API calls. Your prompt never reaches a foreign server. Inference is 100% local to our infrastructure.
VPS-Level Data Isolation
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-Knowledge Architecture
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
Data sovereignty is the foundation of PDPA compliance. By keeping personal data within Malaysia and under your control, NeuralOps satisfies Section 129 (data transfer restrictions) automatically.
Audit Trail Without Data Exposure
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.
Security Comparison
NeuralOps vs. The Alternatives
See how NeuralOps compares to OpenAI, Google Gemini, and self-hosted solutions across security, sovereignty, and control dimensions.
Swipe left/right to compare all options →
| Feature | NeuralOps | OpenAI API | Google Gemini | Self-Hosted |
|---|---|---|---|---|
| VPN-Only Access | ✅ Yes | ❌ No | ❌ No | ⚠️ DIY |
| No Public API Endpoint | ✅ Yes | ❌ Public | ❌ Public | ✅ Yes |
| Whitelisted VPS Only | ✅ Yes | ❌ API key only | ❌ API key only | ⚠️ Manual |
| WireGuard Encryption | ✅ Yes | ⚠️ HTTPS only | ⚠️ HTTPS only | ⚠️ Your setup |
| Data Stays in Malaysia | ✅ Yes | ❌ US servers | ❌ US/SG | ✅ Your choice |
| PDPA Compliance Ready | ✅ Built-in | ❌ GDPR only | ❌ GDPR only | ⚠️ DIY |
| No Training on Your Data | ✅ Guaranteed | ⚠️ Opt-out | ❌ May train | ✅ Yes |
| Audit Trail | ✅ Full | ⚠️ Limited | ⚠️ Limited | ⚠️ DIY |
| Zero Data Retention | ✅ Yes | ❌ 30 days | ❌ Varies | ✅ Yes |
| Centralized Management | ✅ AINNA manages | ❌ OpenAI controls | ❌ Google controls | ❌ You manage |
Defense in Depth Multi-Layer Security Architecture
A layered security chart showing how the public internet is kept outside while only designated VPS nodes can reach the vLLM core through VPN.
Governance & PDPA
Access Control
WireGuard VPN
Zero Open Ports
VPS Isolation
Snapshot Recovery
Central vLLM
Inference Core
🌐 Public Internet
Blocked
Blocked
🖥️ Designated VPS
Whitelisted
Whitelisted
🤖 Agents
Controlled execution
Controlled execution
Public traffic stops outside the security rings
Only whitelisted VPS enters through WireGuard VPN
vLLM remains an inference-only protected core
FAQ
Frequently Asked Questions
Straight answers on models, VPN security, onboarding, SLA, and how NeuralOps compares to self-hosting.
🤖 Models
🔐 Security
🚀 Onboarding
📋 SLA & Support
💰 Cost
01 Models Which LLM models are available on the central vLLM server?
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. Model availability varies by plan Starter gets 2 models, Business gets 5, Enterprise gets all 7. All models run locally on our GPU cluster; no external API calls.
02 Security What does "VPN-only access" actually mean for my team?
Your designated 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 Security Is my data used to train or improve the models?
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). Your VPS is isolated at hypervisor level; AINNA staff cannot access your files or memory. This is contractual and architectural.
04 Onboarding How long does onboarding take and what's included?
Starter: 3–4 days. Business/Enterprise: 5–7 days. Includes: VPS provisioning (Malaysia DC), WireGuard tunnel setup, vLLM model allocation, DNS + SSL for your app subdomain, SSH keys, monitoring agent install, and a 1-hour handover call. Enterprise adds: dedicated account engineer, custom SLA review, and Hermes gateway integration if needed.
05 Models What happens when I exceed my daily token limit?
Requests beyond your daily quota return a 429 response with a retry-after header. No overage charges the limit resets at 00:00 UTC. Enterprise plans support custom rate limits. You can monitor usage via the VPS dashboard or request a limit increase through your account engineer.
06 SLA What SLA do you offer and what's the uptime guarantee?
Enterprise: 99.9% uptime SLA with financial credits (pro-rata refund for downtime > 0.1%). Business: best-effort with priority support. Starter: community-tier monitoring. All tiers include: 24/7 infrastructure monitoring, automated failover for VPS layer, and snapshot-based recovery (RPO < 1 hour, RTO < 30 min).
07 Models Can I bring my own model or fine-tune on the central vLLM?
Enterprise plans support custom model deployment (GGUF / Safetensors) on dedicated GPU partitions requires security review and 2-week lead time. Fine-tuning 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 Cost How does NeuralOps compare to self-hosting vLLM on my own GPU server?
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, monitored, PDPA-compliant inference layer in days, not months. Cost comparison: RM3,500/mo (Enterprise) vs ~RM25K+/mo for equivalent self-hosted stack (GPU lease + colocation + engineering). Note: H200 GPU server lease alone (no colo/engineering) ranges RM20K–RM25K/mo the RM25K+ figure reflects the full managed stack.
09 Support What support channels are available for each tier?
Starter: Email/ticket (48h response). Business: Slack/Teams + ticket (4h business hours). Enterprise: Dedicated Slack channel + phone + ticket (1h response) + quarterly architecture review. All tiers include access to runbooks, API docs, and the AINNA status page.
10 Location Where are the servers physically located?
All infrastructure central vLLM GPU cluster and customer VPS instances is hosted in Tier III data centers in Cyberjaya and Kuala Lumpur, Malaysia. Data never leaves Malaysian jurisdiction. This satisfies PDPA Section 129 (cross-border transfer restrictions) by default.
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Research evidence: Research Hub · NeuralOps Architecture · Token Efficiency Benchmark
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