Every prompt you send to a cloud AI is a copy of your business leaving the building - contracts, financials, patient notes, source code. A local LLM removes the risk at the architecture level: there is simply no path out. Here is the full privacy, security and practicality case.
Running a Large Language Model locally means the AI runs on your own computer or server - not a remote cloud like OpenAI or Anthropic. Your data never leaves the building.
Contracts, financials, source code and customer records are processed on a machine you own. Nothing is uploaded, logged by a vendor, or used to train someone else's model. PDPA-aligned by default.
No internet, no problem. The AI keeps running on the factory floor, in a clinic, at a remote site, or during an outage. No API downtime, no rate limits, no "service unavailable."
Cloud AI charges per user, per month, per token - forever. A local model is a one-time setup that then serves your whole team for the price of electricity. No per-seat licence.
Built for the privacy-driven buyer. Choose a deployment mode, and layer on the controls your auditor expects.
The LLM runs on a server physically inside your office, factory or data centre. Reachable over your LAN/VPN; the public internet cannot touch it. Best balance of control and convenience.
No internet connection at all. Updates applied manually via controlled media. For the most sensitive environments - defence-adjacent, critical infrastructure, regulated health/finance.
Deployed inside your own cloud tenancy or a Malaysian data centre. You keep data residency and isolation, with cloud scalability - local-grade control without owning physical servers.
| PDPA alignment | Architected so personal data stays within your control and within Malaysia, supporting your PDPA 2010 obligations. |
| Data residency | You choose exactly where data physically lives - it can stay entirely on your premises / in Malaysia. |
| No third-party sharing | No prompts, documents or outputs are sent to any external AI provider. Full stop. |
| Role-based access (RBAC) | Users and teams only see the data and tools they're permitted to. |
| Audit logging | Every query and access is logged for traceability and incident review. |
| Encryption | At rest (documents, vector DB, model data on disk) and in transit (TLS across LAN/VPN). |
| Single Sign-On | Integrates with Microsoft Entra/Azure AD, Google Workspace, or LDAP. |
| ISO 27001-aligned process | We follow ISO 27001-aligned practices for access, change and key management during delivery. |
VYROX implements ISO 27001-aligned and PDPA-aligned controls and supports your compliance posture; formal certification of your organisation remains with you and your auditor.
Fact: for everyday work - drafting, summarising, extraction, coding, internal Q&A - Qwen3.6, Kimi K2.6, GLM-5.1 and DeepSeek V4 run at quality very close to the big clouds. We build hybrids that call cloud only when it genuinely wins.
Fact: new open models ship monthly and are free. Swapping today's model for next year's best is a one-line change on the same hardware. Your rig gets smarter over time, for RM0.
Fact: every build ships with remote monitoring, free model upgrades, and a same-business-day SLA. Standard open-source, documented, your IT trained. No black box, no lock-in.
If your measured first-year savings don't beat the subscriptions it replaced, we re-tune the system at our cost until they do - and you keep the hardware either way. Every build also includes remote health monitoring, free model & runtime upgrades, and a same-business-day response SLA.
Privacy, savings, hardware and delivery - walked through slide by slide. Share it with the person who signs off.
Book a free 45-minute Local-AI Audit. We measure your current cloud spend, spec the exact build, and give you the costed break-even date - in writing, no obligation.
No deck pitch. Just engineers sizing your build.