AI-Driven Deployment

AI-Driven Infrastructure
// AI AS A METHOD, NOT A TOOL

AI Builds, People Decide.
From rule-based construction to infrastructure built by AI and people.

BESTNET designs, builds, and operates a consistent architecture from the physical layer—buildings, power, cooling, racks—through servers / storage / network / virtualization / applications / portal and billing. Generative AI (AI pair programming) and local LLMs are integrated throughout the entire process—building faster, keeping documentation alive, and maintaining smarter operations. This is AI-Driven Construction.

AI as "Method," Not Just "Tool." Three Benefits.

We don't leave everything to AI. Generation, analysis, and proposals are handled by AI; design decisions and production deployment approvals are held by people. We pursue speed, quality, and safety simultaneously.

01 / BUILD

AI-Driven Development

High-speed generation of code, design documents, and procedures using AI pair programming such as Claude Code. Our in-house product BASTION went to production in approximately one month.

02 / DOCS

Living Documentation

Specifications, runbooks, and architecture diagrams continuously generated and updated by AI. Reducing siloed knowledge for operations resilient to handoffs and audits.

03 / OPERATE

AI-Native Operations

Local LLMs perform cross-analysis of logs and metrics. Observation, analysis, and proposals by AI; approval and production deployment by people (stages A/B/C).

Closed LLM Complete External LLM Selectable Proposal → Human Approval Agentic Workflow Dry-Run Default All Components OSS Foundation
// FULL STACK, AI-DRIVEN

Areas Delivered with AI

From physical to AI platforms. Every integration domain, AI-native.

🏢

Data Center & Facilities

Built and operate our own DC from steel frame. Power, cooling, rack design, real operational experience with high-density GPU and liquid cooling equipment.

Own DC / High-Density GPU / Liquid Cooling
🌐

Network Design & Construction

Core NW, VPN, zero-downtime redundant configuration with Juniper SRX / OPNsense / Apresia.

Core NW / VPN / Redundancy
🛡️

Security

FW / IDS/IPS / content filtering, SWIFT-compliant design for finance, AI monitoring with local LLM.

FW・IDS / SWIFT / AI Monitoring
🧱

Virtualization & HCI

VMware (5.0–8.0) / Hyper-V / Proxmox / Ceph / CloudStack. Design and migration of hundreds to thousands of VMs.

VMware / Proxmox / Ceph
☁️

Private Cloud

From on-prem virtualization to private cloud and HCI. Seamless integration of DR, backup, and monitoring.

HCI / DR / Monitoring
🛒

Public Cloud Construction & Productization

Operating our own 16-rack-scale facility. Billing platform + WordPress automating domain / SSL / VPS / GPU / game services from signup to cancellation.

Billing Platform / Automation
💾

Storage, DR & Backup

Nimble / Ceph / iSCSI. Standardized generations, encryption, and recovery flows, with "restorable" verified on real equipment.

Storage / DR / Restore
📊

AI-Native Operations & Monitoring

Automated log summarization and multi-layer correlation detection with local LLM (Qwen+GPUStack). Closed configuration with zero external transmission.

Local LLM / Multi-Layer Correlation

Operational Automation & Integration

Integrate multiple monitoring systems, automatically federate to ticketing SaaS. Design through construction of federation specs (deduplication, automated transitions). AI-agent semi-automated response.

Ticketing SaaS / Automation
🧩

AI Platform Construction

Dify / NiFi / RAG / Local LLM. Design and build AI application platforms and RAG chatbots.

Dify / NiFi / RAG
🎯

AI Design Collaboration & Requirements Extraction

Generate requirements, architecture diagrams, and design documents from customer interviews using generative AI; design decisions and reviews held by people.

Discovery / Spec / Design
🔬

AI Code Review & Security Audit

In-workflow auditing of code quality and vulnerabilities in built artifacts using generative AI. Combined with human review to ensure quality.

In-House Implementation
Code Audit / Security Scan
🪢

Harness & Guardrail Design

Zoning, guardrails, and approval-gate design to constrain agent behavior (building harness infrastructure using LangGraph and similar frameworks).

In-house implementation
Harness / Guardrails / Zoning
🏰

AI Ops Platform "BASTION"

Our own product. AI security monitoring + quality module for closed-network environments. Patent pending for proprietary model.

Proprietary Product / External Sales
Unmarked ── Delivered in customer projects, or in production in-house In-house implementation ── Implemented and operated internally (customer delivery upcoming)

From design to operations — AI and humans together. Closed networks or external LLMs.

  • Full-stack coverage from physical datacenters to public cloud and AI infrastructure
  • AI-driven development accelerates builds and keeps documentation alive
  • Propose → human-approval safety design (not leaving everything to AI), emergency stop always ready
  • Closed-network configurations with zero external transmission; external LLM use selectable based on data-sovereignty requirements
Free Consultation & Inquiries →
// SELF-OPERATED INFRASTRUCTURE

Built from the steel frame up, by ourselves.

Many clouds are resellers of third-party facilities. We handle everything in-house — from buildings, power distribution, and racks to the delivery, setup, and ongoing operation of enterprise equipment like storage. Because we understand the physical layer, you can trust us with the foundation for your AI.

In-house datacenter under construction — steel frame and roof work
01 ─ Facility ConstructionSteel frame and roof work (self-built)
In-house datacenter — racks installed alongside interior finishing
02 ─ Rack InstallationRacks placed in parallel with interior work
In-house datacenter in production — busduct + network cabling complete
03 ─ ProductionBusduct + network cabling complete
In-house Data Center Maintenance & Operations — Enterprise Storage Delivery & Setup
04 ─ Maintenance & OperationsEnterprise Storage Delivery & Setup
// TRACK RECORD

Track Record

Telecom, manufacturing, government, finance. Full-stack proven experience from physical to AI.

In-house / Cloud Business

Public Cloud Operations & Commercialization

  • Operate in-house public cloud with 16-rack scale
  • Sell domain/SSL/VPS/GPU/game services via billing platform + WordPress
  • Automated signup-to-cancellation flow (including product & pricing design)
Major Telecom / 2025

High-Density GPU & Liquid Cooling Facility

  • High-density AI server racks with NVIDIA latest-generation GPUs
  • Documented server startup/shutdown procedures including liquid cooling equipment, based on actual hardware
  • On-site support at data center
In-house Product / BASTION

Air-gapped AI Ops Platform

  • Local LLM log analysis + multi-layered correlation campaign detection
  • Deployed to production in approximately 1 month via AI-driven development
  • Patent pending on proprietary mathematical decision model
Telecom / 2025–26

Monitoring Integration → Automated Ticketing SaaS Integration

  • Integrated multiple monitoring sources with automated connection to ticketing SaaS
  • End-to-end design and implementation of integration specs (duplicate detection, field mapping, status transition automation)
  • Semi-automated response via security AI agent
Finance / Securities

Storage Upgrade & SWIFT-compliant Design

  • Security design & PMO aligned with SWIFT requirements
  • Schedule planning, procedure documentation, integration test specifications
  • Led coordination with client and vendors
Government / Securities / Virtualization

Virtualization Platform Upgrade & Migration

  • ESXi / vCenter / Hyper-V / Proxmox upgrades & migrations
  • Design, build, and migration at hundreds to thousands of VM scale
  • Migration verification, risk assessment, and operational support
Design, Build, Development: Hideyuki Chinda Cross-layer Infrastructure Engineer / AI Ops Platform Architect

10+ years of hands-on experience. Since 2016, engaged in design, build, and operations of comprehensive infrastructure including virtualization platforms, networks, storage, and facilities across telecom, manufacturing, government, and finance. Capable of end-to-end architecture design from physical layer through applications and billing. In recent years, integrated local LLM, RAG, security AI agents, and generative AI into production workflows via AI-driven development; inventor of in-house product BASTION with patent pending.

// FAQ

AI-Driven Build FAQ

If you build with "AI-driven," is quality assured?
It's actually a method for maintaining quality. We rapidly produce code, design documents, and procedures with generative AI, while design decisions and reviews remain human-driven. The time saved by AI is reallocated to review and verification, achieving both clear effort reduction and quality maintenance compared to traditional approaches. Documentation stays "alive" and up-to-date, strengthening handoffs and audits.
What scope of work can you handle?
Full-stack coverage from physical data center (power, cooling, racks) through network, storage, virtualization, private/public cloud, AI platforms, operations, monitoring, automation, and upstream PMO and ongoing support. Spot support for specific domains is also available.
Can this be used in a closed network environment? We cannot send data externally.
Yes, it can be used. In a closed network configuration, it operates entirely with local LLMs (such as Qwen) and does not transmit log data externally. On the other hand, configurations that leverage more powerful external LLMs (Claude/GPT, etc.) can also be selected according to data sovereignty requirements. We design for each requirement rather than locking into one approach.
Can AI-native operations be added to our existing environment?
Yes, they can. Monitoring can begin simply by directing syslog, and integration with existing Jira/Redmine and monitoring infrastructure is done via REST API. We recommend starting small with read-only status assessment (Stage A, zero production impact) first.
Won't leaving it to AI cause incidents?
We do not leave it entirely to AI. Observation, analysis, and proposals are done by AI, while decision approval and production deployment are done by humans — we build Stages A/B/C into the design, and production deployment follows dry run → limited production → full production. An emergency stop command is always available, and changes with significant impact always go through human approval.
What about pricing?
After hearing your scope and requirements, we provide individual quotes according to the scope. Monthly maintenance is an optional add-on. We do not offer fixed prices; we propose configurations tailored to only what you need.
Who designs and builds the system?
A cross-layer infrastructure engineer (10+ years of practical experience, inventor of BASTION) will accompany you consistently from upstream design through construction and operations. They possess both proven track records in telecommunications, finance, and government sectors, as well as hands-on experience implementing AI-driven development.
// STACK

Supported Technologies

Virtualization / CloudVMware ESXi 5.0–8.0 / vCenter, Hyper-V, Proxmox VE, Ceph, CloudStack, HCI, billing/order automation infrastructure
OSWindows Server 2008–2025, Ubuntu 22/24, AlmaLinux 9, Rocky / CentOS / Debian
Network / SecurityJuniper SRX (Junos), OPNsense, FortiGate, Allied, Apresia, VPN / FW / IDS-IPS, SWIFT-compliant design
Storage / DRHPE Nimble, Ceph, iSCSI, Dell PowerEdge, generation/encryption/recovery design, physical backup verification
AI / AutomationLocal LLM (Qwen2.5-14B / 3.5-32B + GPUStack), Dify, NiFi, RAG, Python automation, AI pair programming
Ticketing / IntegrationREST API integration with ticketing SaaS (from specification design to construction), multiple monitoring source integration, duplicate detection, field mapping, status transition automation
Operational Safety DesignStages A/B/C, dry-run default, emergency stop, proposal → human approval gate, closed network configuration with zero external transmission
AI Server FacilitiesHigh-density racks with latest-generation NVIDIA GPUs, liquid cooling equipment (rear-door heat exchanger / CDU), Smart PDU, BMC, on-site procedure documentation
Harness / GuardrailsConstruction of agent harness infrastructure such as LangGraph. Design of zoning, approval gates, no-touch lists, and rollback paths

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