Governed, traceable, verifiable AI.
Data stays on-prem, control stays yours, verifiable delivery in 10 days
Connect your systems and data sources. Outputs go back into your workflow—access control stays in your system.
Data Sovereignty × Cost Control × Compliance Ready
Same AI. The difference: can you control the risk—and can you budget the cost?
3-minute interactive demo—see how to make AI verifiable, auditable, and production‑ready
Market recognition, government certified
HaoLiJiaZai financial health-check platform Won IT Matters 2025 Social Impact Award
Government AIEC rigorous test: 96/100 All 5 dimensions verified & certified
Compliance needs proof and audits need answers, but cloud can't hold sensitive data?
Cited answers, auditable actions
Pick your scenario first (tasks, risks, verifiable deliverables), then validate quickly with the online demo.
Quick answers to help you evaluate and roll out AI Sandbox.
AI Sandbox is an On‑Prem Tamed AI solution for making enterprise AI truly deployable (Secure • Smart • Simple). The core idea is to turn “AI is powerful, but enterprises fear incidents” into a delivery that is governable, auditable, and verifiable.
A typical chatbot often stops at “conversation”, while enterprise deployment gets stuck on four questions: traceability, accountability, cloud data risk, and whether deployment means rebuilding systems / how to operate long-term. AI Sandbox turns those concerns into a governable delivery:
AI Sandbox is not “a better chat UI”—it is a delivery that makes security, compliance, and accountability explicit:
In contrast, typical public cloud AI tools are often optimized for individual accounts and one-off chats; enterprises usually need to fill in governance, auditability, and compliance on their own.
Best for high-frequency, standardizable, content-heavy workflows where sensitive data must stay on-prem and access must be auditable—especially when you want to turn documents/knowledge into usable answers, processes, and reports.
It also fits finance analysis and risk review (“financial statements become accurate, traceable, and usable”), internal policy/SOP lookup, audit/compliance, and cross-team knowledge transfer.
The core difference is not “which model is stronger”, but data boundary, governance accountability, and auditability:
AI Sandbox is not just “running a model inside the intranet”—it is a governable, auditable, and acceptance-ready delivery (On‑Prem Tamed AI):
