We install on-premise enterprise AI inside your own infrastructure and train it on your workflows. PDPA 2010 compliant. BNM RMiT-aligned. Data stays in Malaysia. Working pilot in 3–12 weeks.
Every major AI tool — ChatGPT, DeepSeek, Gemini, Copilot — routes your company data to US or Chinese infrastructure. Client records, financials, strategy, and internal communications. All processed outside your jurisdiction. All subject to foreign law.
Thousands of decisions happen daily across departments. No single system shows what is actually happening in real time. Leadership operates on week-old data. You cannot control what you cannot see — and your competitors know it.
Malaysia's Personal Data Protection Act 2010 is actively enforced by the Department of Personal Data Protection (JPDP). BNM's Risk Management in Technology (RMiT) framework sets the bar for financial institutions. Every piece of company data processed by ChatGPT, Gemini, or Copilot on foreign servers falls outside Malaysian jurisdiction. Your legal team already knows this is a problem.
Public AI is built for everyone — it does not know your sector logic, competitive position, workflow architecture, or data structure. Private AI trained on your own systems is a different category of technology entirely.
AI Operating System. Deployed Inside Your Own Infrastructure.
AI runs entirely inside your own servers in Malaysia. Integrated with every system you already operate — ERP, CRM, databases, supply chain, finance. No third party processes your data. No foreign server touches your company intelligence. Full Malaysia PDPA 2010 and BNM RMiT compliance confirmed on day one of deployment.
Every department, process, and decision layer unified into a real-time digital twin of your company. Not dashboards. Not weekly reports. A continuously updated operational picture that shows leadership exactly what is happening, where it is breaking, and what comes next.
Trained on your workflows, sector logic, and strategy. It becomes an operator — detecting failures before they surface, compressing multi-day decisions into minutes, executing processes autonomously where human intervention is no longer required.
Malaysia PDPA 2010 and BNM RMiT compliance is non-negotiable. Client records and transaction data never leave Malaysia.
European and US compliance mandates require local data control. Your KL CTO already has this on their risk register.
Dozens of subsidiaries across Malaysia and SEA, zero cross-division visibility. One private AI deployment unifies your entire group.
Client confidentiality makes cloud AI a direct liability. Private on-premise deployment is the only defensible option.
International patient data and cross-border insurance compliance require sovereign infrastructure — not cloud AI with opaque data handling.
Real-time intelligence across your Malaysian and regional operations. Private AI connects every node without exposing route data or supplier contracts.
Risk models, actuarial data, and claims intelligence are among the most sensitive data classes. Private AI is regulatory expectation.
AI that exposes your proprietary training data or model architecture to competitors is an existential risk, not a productivity tool.
30 minutes. We map your data environment, Malaysia PDPA 2010 and BNM RMiT requirements, and identify your highest-value AI use case. In-person in Kuala Lumpur or remote.
Working pilot deployed inside your Malaysia infrastructure in 3–12 weeks. You see measurable ROI before committing to full deployment.
Rollout across target departments. Staff training included. We stay on-site until the system operates autonomously.
Kuala Lumpur-based team. Same timezone. Direct access — not a helpdesk ticket. In-person meetings in KL available.
I am Den, Managing Director of UNGLIN Co. Ltd., Kuala Lumpur. We built UNGLIN on principle — your company's data belongs to you.
We deploy private AI for Malaysian banks, conglomerates, hospitals, and regulated industries. Every engagement starts face-to-face in Kuala Lumpur. Every pilot is scoped to deliver evidence before commitment. Malaysia PDPA 2010 and BNM RMiT compliance confirmed on day one of every deployment. No consulting theatre. No lock-in.
A regional holding group. 1,800 staff. Finance closing books 12 days after month-end. Two divisions losing margin — undetected until Q4. Staff routing internal documents through public AI tools. Compliance flagged it. No private alternative in place.
Four disconnected systems — SAP, a legacy CRM, warehouse management, and a custom finance platform. Leadership operating on week-old data. Zero cross-division visibility. A procurement anomaly had been silently eroding working capital for 8 months across every report, every meeting — completely undetected.
Private on-premise AI installed in 7 weeks. All four systems integrated into a single command centre. Live KPIs, cross-division visibility, and continuous anomaly detection. CEO, CFO, and six business unit heads operating from one real-time view. Zero data left the building. PDPA compliance confirmed on day one.
AI flagged the procurement bottleneck within 6 weeks. Resolved in 3. CFO approved full-group deployment in the same month the pilot completed. Phase 2 now scoping autonomous AI agents across finance reconciliation and inventory reordering — removing human steps from processes that no longer require them.
A regional bank. 3,200 staff. 4-country operations. Compliance identified 14 staff members using public AI tools to process client KYC documents — sending sensitive data to foreign servers daily. No incident yet. The window was closing.
No internal AI alternative existed. IT had blocked cloud tools. Staff found workarounds. Legal needed a private solution keeping all client data inside the bank's own infrastructure — across all 4 jurisdictions simultaneously — while delivering productivity gains strong enough that staff would stop using external tools voluntarily.
Sovereign AI deployed on-premise at the primary data centre with secure access for all 4 country offices. KYC processing, compliance drafting, and internal knowledge retrieval all running privately. Staff productivity gains confirmed within 8 weeks. Regulatory compliance confirmed in writing across all 4 jurisdictions on deployment day.
Staff use of public AI tools dropped to zero within 3 weeks — not from policy enforcement, but because the private system was faster. Compliance closed the liability window. The CTO presented the deployment as a competitive advantage in the next board review. Full-group AI expansion is now in scope.
Private on-premise AI means your AI runs entirely inside your own infrastructure in Malaysia — your servers, your network, Malaysian jurisdiction. No data is processed by foreign cloud providers like AWS, Google, or Azure. Your operational intelligence stays inside your walls, compliant with Malaysia PDPA 2010 and BNM Risk Management in Technology (RMiT) guidelines.
Cloud AI tools — including enterprise tiers — process your data on foreign infrastructure subject to foreign law. Private on-premise AI runs inside your own building on your own hardware. No data leaves. No foreign jurisdiction applies. The AI is trained on your specific workflows and sector logic, not generic public data.
No. We integrate with your existing infrastructure — SAP, Oracle, custom databases, CRMs, ERPs, and warehouse systems. The AI sits on top and unifies them. Nothing is replaced in the first phase. Existing infrastructure investments are preserved in full.
Yes. Because data never leaves your Malaysia infrastructure, PDPA 2010 and BNM RMiT compliance is guaranteed by architecture — not policy. Written compliance confirmation is provided on day one of every deployment. Your legal team confirms it before we proceed.
3 to 12 weeks from first call to working pilot, depending on systems complexity. Pilot projects start from RM140,000 (~$30,000 USD). Scope and pricing are set precisely in the discovery call — you have full cost clarity before any contract is signed.
Enterprise clients have seen 3–5× return on pilot investment within the first quarter. Primary value drivers: operational leak detection, reporting compression, and autonomous process execution. We scope the pilot specifically around your highest-value use case so ROI is measurable before full deployment is considered.
Yes. UNGLIN operates in Kuala Lumpur, Malaysia. We meet clients in person anywhere in Malaysia and across Southeast Asia. In-person relationship-first engagement is how every deployment starts — not a zoom call followed by a contract.
30-minute call with our Kuala Lumpur team. We map what private AI can deliver inside your own infrastructure — specific to your sector, Malaysia PDPA 2010 and BNM RMiT requirements, and systems.