Enterprise intelligence belongs inside the enterprise — not on a foreign server. We deploy private, on-premise AI inside your infrastructure. Zero cloud exposure. Full data sovereignty. 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.
PDPA, GDPR, and sovereign AI frameworks across APAC and the Middle East are tightening. IDC projects 60% of regulated enterprises will have migrated sensitive workloads to sovereign environments by 2028. The liability clock is running.
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 Infrastructure.
AI runs entirely inside your own servers. Integrated with every system you already operate — ERP, CRM, databases, supply chain, finance. No third party processes your data. No foreign jurisdiction owns your intelligence. Full PDPA, GDPR, and sovereign AI compliance from day one.
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.
Data sovereignty is non-negotiable. Client records and transaction data never touch a foreign server.
European and US compliance mandates require local data control. Your regional CTO already has this on their risk register.
Dozens of subsidiaries, 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 multi-country networks. 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, compliance requirements, and identify your highest-value AI use case. Remote or in-person across APAC.
Working pilot deployed inside your 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.
Southeast Asia HQ. Direct access — no helpdesk queues, no offshore layers. Same-timezone response for APAC operations.
I am Den, Managing Director of UNGLIN Co. Ltd. I built UNGLIN on one principle — enterprise intelligence belongs inside the enterprise, not on a foreign server.
We have deployed private AI across Southeast Asia for banks, conglomerates, and regulated industries with combined revenues exceeding $500M. Every engagement starts with a discovery call. Every pilot is scoped to deliver evidence before commitment. No consulting theatre. No vague roadmaps. 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.
Sovereign AI deployment means your AI runs entirely inside your own infrastructure — your servers, your network, your jurisdiction. No data is processed by foreign cloud providers. Your operational intelligence stays inside your walls, compliant with PDPA, GDPR, and regional data sovereignty frameworks.
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 infrastructure, third-party cloud processing risk is eliminated. PDPA, GDPR, PIPL, and regional sovereign AI compliance is confirmed in writing on day one of deployment — designed into the architecture from the start, not reviewed after the fact.
3 to 12 weeks from first call to working pilot, depending on systems complexity. Pilot projects start from ฿1M (~$27,000 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. Our HQ and in-person deployment capability are in Southeast Asia, covering APAC broadly. For enterprises in the Middle East, Europe, and other regions, we scope remotely and partner with local implementation teams. Discovery calls run globally — start with 30 minutes and we will map what is feasible for your location.
One 30-minute call with our team. We map what sovereign AI can deliver inside your infrastructure — specific to your sector, systems, and compliance requirements.