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Enterprise AI Orchestration Infrastruktur

Not Hosting.
Orchestrated Intelligence.

NeuralOps is AINNA's enterprise AI orchestration infrastructure for detached systems, AI agents, automation, analytics, monitoring and secure business operations — designed for control, traceability, cost predictability and production maturity.

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Kos Lebih Rendah per Outcome
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Kedaulatan Data
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Pemantauan
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Infrastruktur Maturity
Edge AI IoT & embedded Linux intelligence at the edge 14 edge agents → offline-capable Terokai →
SmartCity AI-powered smart city infrastructure & operations 24 domains → one intelligent operating layer Terokai →
IC DesignOps Repeatability, traceability & verification intelligence 21 detached services → 85% without LLM Terokai →
Robotics Robotik yang ditadbir di pinggir industri Perception → safety gateway → controller Terokai →
The Operational Gap

Why Ordinary Awan and Generic Hosting Fail AI

Traditional hosting gives you a server. It does not give you orchestration, routing, distillation, observability or the cost discipline production AI actually needs.

Costs That Skala Linearly

Every task hits the largest model. Token spend grows with traffic and nobody can predict the bill.

No Penghalaan Discipline

Deterministic work is forced through LLMs, wasting tokens on tasks that rules and systems handle better.

Kependaman Everywhere

Everything depends on a remote call. No local execution, no detachment, no speed for routine operasi.

Data Leaves Your Control

Perniagaan data flows to third-party endpoints. Kedaulatan, compliance and auditability are compromised.

No Observability

You cannot see where work happens, what it costs, or where it failed. Decisions are made in the dark.

Keselamatan Selepas Fikir

WAF, isolation, logging and recovery treated as bolt-ons, not a designed command layer.

Definition

What Is NeuralOps Infrastruktur?

NeuralOps is a unified orchestration layer that routes, distils, detaches and monitors work across infrastructure — so every task runs on the smallest, fastest, most cost-efficient layer that can handle it.

Orchestration

Coordinate work across systems, agents and models with a single control plane.

Sistem Berasingan

Deterministic operations run off-LLM as self-contained, reliable systems.

Smart Routing

Route each task to the smallest sufficient layer — rules, DB, system or model.

Distillation

Move capability from large models into small, fast, cheap specialists.

Infrastruktur Swasta

Run inside VPN-secured vLLM and controlled environments by design.

Observability

See every task, cost and failure in real time across the whole stack.

Keselamatan

A designed command layer for encryption, isolation, logging and recovery.

Perniagaan Outcomes

Lower cost, lebih pantas execution and audit-ready control for production operasi.

Signature Flow

How NeuralOps Proses a Request

Every business request flows through a deterministic pipeline. Press play to watch it execute. This is orchestration — not a single model call.

Perniagaan Request
Inbound work
Segmentation
Pecahkan kepada tugasan yang terhad
Smart Routing
Smallest sufficient layer
Distillation
Specialist models
Sistem Berasingan
Off-LLM execution
Peribadi Infra
VPN-secured execution
Pemantauan
AI watches anomalies
Manusia Oversight
Only exceptions escalate
The NeuralOps Principle

System Executes. Automasi Operates.
AI Monitors. Manusia Decides.

The deterministic-first operating ladder that keeps production AI reliable, auditable and in control.

System Executes

Deterministic infrastructure, databases and detached systems run the defined work reliably every time.

Layer 1

Automasi Operates

Workflows, scheduled jobs and rules execute without human attention, keeping the system moving.

Layer 2

AI Monitors

Model watch for anomalies, gaps and exceptions — surfacing only what genuinely needs attention.

Layer 3

Manusia Decides

Orang make the strategic, high-stakes calls. Everything routine stays automated below them.

Layer 4

Segmentasi → Penghalaan → Distillation → Detached → Infrastruktur Persendirian

Each layer reduces unnecessary work for the next. The system gets lebih murah, lebih pantas, and more reliable the more you use it correctly.

1
Segmentation
Break one large request into small, bounded tasks with clear success criteria.
2
Smart Routing
Send each task to the smallest sufficient layer: rules, parsers, DB, detached system, or model. Escalate only when reasoning is truly required.
3
Distillation
For high-volume, well-scoped tasks, transfer capability from large models into lebih kecil, lebih pantas, lebih murah specialist models that still meet production thresholds.
4
Sistem Berasingan
Move repeatable, deterministic work completely outside LLMs. PHP/Python microservices, scheduled jobs, and rule engines run with zero recurring LLM token usage for eligible detached workloads.
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Infrastruktur Swasta
Run the above inside controlled environments (VPN-secured vLLM, on-prem or regional VPS). Data sovereignty and cost predictability by design.

Result: lower cost per outcome, lebih pantas execution, easier auditing, and compounding savings as volume grows. The flywheel only works when every layer is used in the right order.

Infrastruktur Stack

The Layers of NeuralOps Infrastruktur

A layered architecture where each tier has a defined job and every tier is observable.

Data & Compute

LAMP, MySQL/MariaDB, Redis, Docker containers and cloud or dedicated servers sized to the workload.

Penghalaan & Orchestration

Penghalaan pintar menentukan lokasi pelaksanaan setiap tugasan: peraturan, penghurai, pangkalan data, sistem terpisah atau model.

AI & LLM Layer

Dedicated LLM servers and vLLM clusters for inference, fine-tuning and agen operasi.

Observability Layer

Pemantauan, pengelogan, amaran dan penjejakan kos merentas setiap tugas dan sistem.

Sistem Berasingan Showcase

Work That Runs Without LLM Dependence

Repeatable, deterministic operations run as self-contained systems — reliable, fast and with zero recurring token cost.

Sistem E-dagang

Store, inventory, orders, payments and shipping — running as a detached system.

Sistem Inventori

Penjejakan stok masa nyata, penjejakan berbilang gudang, dan penempahan semula automatik.

Analitik Jualan

Pelaporan jualan, trends and performance dashboards computed deterministically.

Audit / QC

Kawalan kualiti, penjejakan pematuhan dan laporan audit automatik.

Kewangan System

Pelaporan kewangan, aliran tunai dan integrasi perakaunan sebagai logik yang terpisah.

Papan Pemuka Ejen AI

Agent task orchestration and performance monitoring in a control surface.

Sistem API

RESTful APIs, webhooks and data exchange built as stable detached services.

Automasi Pelaporan

Laporan berjadual, cerapan dan aliran kerja pengedaran tanpa kos LLM.

Tatal to explore detached systems

Use Case Explorer

NeuralOps Across Real Operasi

Select a sector to see how orchestration, routing and detached systems apply in practice.

PKS Operasi

Automate invoicing, reporting and customer follow-up as detached systems with AI only where reasoning is needed.

Kos Predictability

Move deterministic work off LLMs for a fixed, predictable infrastructure cost instead of token surprises.

Auditable by Default

Every process logged and traceable — ready for auditors and management review.

E-dagang Backend

Orders, inventory sync and payment reconciliation run as reliable detached systems.

Analitik

Jualan trends and KPIs computed deterministically, refreshed in real time.

AI Assistants

Pelanggan support agents routed to LLMs only for open-ended reasoning.

Kedaulatan Data

Peribadi infrastructure keeps sensitive health and research data inside controlled environments.

Penyelidikan Pipelines

Kelompok processing, feature extraction and analysis run deterministically with AI assist where valuable.

Kepatuhan

Full audit trails and access control meet strict regulatory expectations.

Logistik

Fleet dispatch, routing and tracking as detached systems with edge monitoring.

Gudang Intelligence

Inventori, dispatch and stock counts run deterministically on the platform.

Fleet Observability

Real-time monitoring and anomaly alerts across distributed operasi.

Edge AI / IoT

Tempatan inference and edge processing keep latency low and data close to source.

Rendah-Kependaman Decisions

Routine decisions execute locally without round-tripping to a distant model.

Resilient Operasi

Sistem keep operating even if the central model or connection degrades.

IC / Engineering

Pengesahan perkakasan, automasi ujian dan saluran data sebagai sistem terpisah (Detached Sistem).

Design Workflows

Automated validation and reporting around engineering design cycles.

Kebolehkesanan

Every build and validation step logged for full engineering traceability.

Robotics / Industri

Control loops and deterministic coordination run on local, reliable systems.

Industri Pemantauan

Analitik sensor masa nyata dan pengesanan anomali merentas jentera.

Safe Orchestration

Manusia-in-the-loop control for high-stakes industrial actions.

Perbandingan

Awan vs Dedicated vs AI / Agent Pelaksanaan

NeuralOps is not a hosting choice. It is an orchestration decision on top of the right infrastructure for your workload.

Traditional Awan Hosting
Shared resources, variable performance
No routing or distillation discipline
Costs scale linearly with tokens
Data leaves your control
Terhad observability
NeuralOps Orchestration
Peribadi, dedicated, isolated resources
Smart routing to the right layer
Kos reduced via distillation & detachment
Kedaulatan data melalui reka bentuk
Full observability and control
Ejen AI & Pelayan LLM Layer

Dedicated AI Compute, Securely Isolated

NeuralOps agents and LLM servers run on dedicated GPU infrastructure behind secure API gateways — isolated from public LLM dependencies.

Pelayan LLM H200

4× H200 · 141GB GPU

LLM Cluster

8× H200 · 2TB RAM

vLLM Gateway

Selamat API · rate limited

Agent Nodes

Membina · Mengaudit · Memantau

Autonomi Ejen

NeuralOps agents build, audit, monitor and improve systems.

API Gateway Selamat

Had kadar, pengesahan dan penjejakan penggunaan bagi setiap panggilan model.

Penalaan Halus

Custom models trained on your data for specialist workloads.

Kecekapan token

Smart Routing dan Distillation meminimumkan pembaziran merentasi keseluruhan sistem.

Kecekapan Kos Enjin

Watch Kos Come Down

Each NeuralOps layer removes cost from the next. The result compounds as volume grows.

1

Raw LLM Kos

Setiap tugasan pada model besar, dengan harga penuh.

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Selepas Smart Routing

Deterministic tasks move to rules & systems.

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3

After Distillation

High-volume work shifts to small specialist models.

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4

After Detachment

Repeatable work runs off-LLM at near-zero cost.

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✓

Kos per Outcome

Predictable, measurable, compounding savings.

-75%
Keselamatan & Kepatuhan Lapisan Arahan

A Live Keselamatan Papan Pemuka

Not repeated cards — a designed command layer protecting every part of the stack.

pusat perintah keselamatan — semua lapisan dilindungi

SSL / TLS

Encryption in transit

Aktif

Firewall

Rangkaian segmentation

Aktif

WAF

OWASP protection

Aktif

Pengasingan Docker

Kontena security

Aktif

Keselamatan Pangkalan Data

Granular access

Aktif

Sandaran Automatik

Disaster recovery

Daily

Logging

Jejak audits

Streaming

VPN Access

Peribadi admin routes

Peribadi

Pemantauan

24/7 alerting

Aktif

Pelan Pemulihan

Incident response

Sedia
Observability & Pemantauan

See Every Tugasan, Kos and Failure

A monitoring console that streams system health and AI-monitored anomalies in real time.

observability console
[09:41:02]AIPemantauan 42 services…
[09:41:04]INFDetached system healthy
[09:41:07]WARNDetecting anomaly: spike on checkout API
[09:41:09]AIPenghalaan incident to human review
[09:41:12]INFSemua systems operational

Real-time Metrik

Live health, load and cost across the stack.

Pengesanan Anomali

AI mendedahkan tingkah laku luar biasa sebelum ia menjadi lebih serius.

Kos Tracking

Token and infrastructure spend traced per task.

Alerting

Only exceptions reach the human decision layer.

Example Aliran Kerja

An End-to-End Aliran Kerja Demonstration

A perniagaan sebenar task routed, distilled, detached and monitored through the NeuralOps pipeline.

1. Request

Pesanan pelanggan tiba melalui API.

2. Segment

Order split into validate, price, route tasks.

3. Route

Validation → rules. Harga → DB. Query → model.

4. Detach

Order processing runs off-LLM, deterministically.

5. Peribadi

Executed on VPN-secured controlled infra.

6. Pantau

AI memantau anomali dalam aliran kerja.

7. Oversight

Pengecualian hanya sampai kepada keputusan manusia.

8. Outcome

Selesai, direkod, boleh diaudit, kos efektif.

Pelaksanaan Journey

From Consultation to Production

A disciplined path to deploy NeuralOps infrastructure for your operation.

01Assess

Audit your workloads to decide what runs on rules, systems and models.

02Architect

Design the routing, distillation and detached-system topology.

03Provision

Deploy cloud, dedicated or hybrid infrastructure with Docker, LAMP, DB and security.

04Orchestrate

Konfigurasikan Smart Routing, gerbang LLM dan ketersambungan ejen.

05Pantau

Dayakan observability, alerting dan penjejakan kos.

06Optimise

Continuously refine routing and distillation for compounding savings.

Perniagaan Outcomes

Measurable Production Nilai

NeuralOps delivers control, traceability, efficiency and cost predictability.

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Lower cost per outcome via routing, distillation and detachment.

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Lebih Pantas execution for deterministic workloads.

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Auditable and traceable operasi.

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Infrastruktur maturity for production AI.

Soalan Lazim

Frequently Asked Questions

Is NeuralOps just cloud hosting?
No. NeuralOps is enterprise AI orchestration infrastructure. It adds segmentation, smart routing, distillation, detached systems, observability and a designed security layer on top of the underlying compute.
How does NeuralOps reduce cost?
It routes deterministic work to rules and systems, shifts high-volume tasks to distilled specialist models, and detaches repeatable work off LLMs entirely — cutting token spend and cost per outcome.
Apakah yang dimaksudkan dengan Detached Sistem?
Terkendali business systems — ecommerce, inventory, finance, reporting — that run deterministically without LLM dependence, delivering reliability, speed and near-zero token cost.
Bolehkah data kekal pada infrastruktur persendirian?
Ya. NeuralOps supports VPN-secured vLLM, on-premise and regional deployment, giving you data sovereignty, compliance and cost predictability by design.
Is NeuralOps production-ready?
Ya. Smart routing, detached systems and production infrastructure are live for suitable workloads. Advanced LLM clusters and deeper autonomous optimisation are part of the Phase 2 roadmap.
Mulakan

Selaraskan Production AI

Deploy enterprise AI orchestration infrastructure that is controlled, traceable, cost-predictable and production-grade.

Semasa: Smart routing, detached systems, and production infrastructure are live for suitable workloads. Peta Hala Tuju: Advanced LLM server clusters and deeper autonomous optimization are Phase 2 (funding-dependent). See Strategi LLM and Model Distillation.

Frequently asked questions

What is NeuralOps by AINNA?

NeuralOps is AINNA's enterprise AI orchestration infrastructure for detached systems, AI agents, automation, analytics, monitoring and secure business operasi.

How does NeuralOps reduce cost?

Smart routing and model distillation route each task to the smallest sufficient layer, which is the basis of AINNA's internal token-reduction benchmark.

Is NeuralOps deployable privately?

Ya. Ia direka bentuk untuk pelaksanaan persendirian yang ditadbir urus dengan pendedahan data terkawal dan kawalan akses.

Sources and references

AINNA
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