We install on-premise enterprise AI inside your own infrastructure and train it on your workflows. Data stays in Thailand. 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.
Thailand’s PDPA came into full force in 2022 with active enforcement since 2023. Every piece of company data processed by ChatGPT, Gemini, or Copilot is processed on foreign servers — outside Thai 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.
We deploy four types of private AI. Each has a different entry point, data requirement, and time-to-value. Map your situation to the right path before committing to anything.
You know you need AI. You don’t know where it pays. In 10 days we map your operations, your data, and your biggest costs — and deliver a ranked action plan and ROI model built from your actual numbers.
AI that answers questions over your internal documents, SOPs, contracts, and records — privately, inside your own infrastructure. No data leaves. Staff stop routing company files through public AI tools.
One high-cost, high-volume process automated with private AI — inside your own systems. Measurable cost reduction and speed gain confirmed before full rollout is approved.
Full private AI operating system deployed inside your infrastructure — integrating every department, data source, and decision layer into one real-time command centre. Zero cloud exposure.
AI Operating System. Deployed Inside Your Own Infrastructure.
AI runs entirely inside your own servers in Thailand. 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 Thai PDPA 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.
Thai PDPA compliance is non-negotiable. Client records and transaction data never leave Thailand.
European and US compliance mandates require local data control. Your Bangkok CTO already has this on their risk register.
Dozens of subsidiaries across Thailand, 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 Thai 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 identify which of four deployment paths fits your situation before any scope is agreed. We then map your data environment, Thai PDPA requirements, and highest-value AI use case. In-person in Bangkok or remote.
Working pilot deployed inside your Thailand 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.
Bangkok-based team. Same timezone. Direct access — not a helpdesk ticket. In-person meetings in Bangkok available.
UNGLIN is a Bangkok-based private enterprise AI deployment firm serving regulated organisations in Thailand. Den Unglin, Managing Director, acts as the accountable engagement lead, supported by local implementation capability, Thai PDPA specialists, and established platform partners.
Every engagement starts face-to-face in Bangkok. Every pilot is scoped to deliver evidence before commitment. Thai PDPA compliance confirmed on day one of every deployment. No consulting theatre. No lock-in.
These are workflows where AI deployments have already reduced manual processing by 90%+, improved forecast accuracy by up to 30%, pushed document access from 20% to 80%, cut search time from 30 minutes to seconds, and shortened monthly close from 12 days to 5.
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 Thailand — your servers, your network, Thai jurisdiction. No data is processed by foreign cloud providers like AWS, Google, or Azure. Your operational intelligence stays inside your walls, compliant with Thai PDPA.
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 Thailand infrastructure, Thai PDPA compliance is guaranteed by architecture — not policy. Written PDPA 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 ฿1M (~$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 is headquartered in Bangkok, Thailand. We meet clients in person anywhere in Bangkok and across Thailand. In-person relationship-first engagement is how every deployment starts — not a zoom call followed by a contract.
No commitment. We map what the Assessment delivers for your specific business — your sector, your operations, your data situation. If the assessment is not the right fit for your business right now, we will tell you that on the call. No charge, no follow-up pressure.
Bangkok team. In-person meetings available anywhere in Bangkok. Same timezone. Direct access to the people doing the work.
💬We tell you honestly whether the assessment makes sense for your situation right now.
Book Discovery Call →During Bangkok business hours.