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AI for enterprises

Bringing AI into operations safely: in-house models, digitization and data extraction, AI regulation and AI infrastructure in Vietnam.

SolutionsAI for business operations
12 Entries
WebMCP: letting AI assistants call tools directly on tetra.vnNews
07.29.2026

WebMCP: letting AI assistants call tools directly on tetra.vn

WebMCP is a new web standard that lets a site declare its functions for AI assistants to call directly. tetra.vn now supports it, among the first in Vietnam.

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Google’s Open Knowledge Format (OKF): packaging knowledge for AI agents — what we learned deploying itNews
07.07.2026

Google’s Open Knowledge Format (OKF): packaging knowledge for AI agents — what we learned deploying it

Google just published OKF — an open standard that turns organizational knowledge into a Markdown directory agents read directly. We took the samples apart and pulled out deployment lessons for several domains.

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Angler: an open-source search, crawl & research gateway you self-hostNews
07.05.2026

Angler: an open-source search, crawl & research gateway you self-host

Angler is a free, MIT open-source search + crawl + research gateway you self-host: web access for AI agents (Claude Code, Cursor…) over MCP or the Firecrawl SDK, turning the web into clean, bias-resistant markdown for research and AI agents.

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Vietnamese OCR: turning document images into usable data (safely)Deep dive
06.25.2026

Vietnamese OCR: turning document images into usable data (safely)

OCR only reads text; businesses need structured data. The difference between OCR and data extraction, why Vietnamese OCR is hard, the risk of free online OCR with sensitive data, and how to do it safely on your own server.

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VT-Super 120B: a Vietnamese LLM for business documentsNews
06.10.2026

VT-Super 120B: a Vietnamese LLM for business documents

A 120-billion-parameter Vietnamese LLM, trained on administrative and business data. Why this is good news for on-prem document AI.

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Deploying on-premise RAG for internal documents: a practical guideDeep dive
06.08.2026

Deploying on-premise RAG for internal documents: a practical guide

RAG demos beautifully and breaks in production. Seven on-premise deployment steps, where cross-boundary leaks happen, and when your problem does not need RAG.

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Sovereign AI in Vietnam: what businesses actually get to decideCornerstone
05.08.2026

Sovereign AI in Vietnam: what businesses actually get to decide

Sovereign AI is not about owning a supercomputer. The infrastructure–model–data layers, which one businesses truly control, and three options with the price of each.

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On-premise AI for internal documents: what it takes to run a Vietnamese LLM on your own serversCornerstone
05.05.2026

On-premise AI for internal documents: what it takes to run a Vietnamese LLM on your own servers

On-premise AI lets your people query internal documents without the data leaving your infrastructure. Here are the moving parts, the Vietnamese models that run locally, realistic hardware, and where cross-department leaks happen.

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Digitize old paper documents with on-premise AI — no leakageDeep dive
04.29.2026

Digitize old paper documents with on-premise AI — no leakage

Turn backlogged paper files into searchable data with on-premise AI; your data stays in.

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AI Law 134/2025: a legal frame for enterprise AI in VietnamNews
04.10.2026

AI Law 134/2025: a legal frame for enterprise AI in Vietnam

Vietnam's AI Law (134/2025) takes effect 1 March 2026: the first comprehensive AI law, with 3 risk tiers, transparency duties and AI-content marking.

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Sovereign AI infrastructure in Vietnam: on-prem document AI is now feasibleNews
02.12.2026

Sovereign AI infrastructure in Vietnam: on-prem document AI is now feasible

Vietnam now has enterprise-grade AI supercomputers in-country. As sovereign AI infrastructure matures, on-prem document AI is no longer far-fetched.

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Digital Tech Industry Law 71/2025: Vietnam first legislates AI risk managementNews
06.20.2025

Digital Tech Industry Law 71/2025: Vietnam first legislates AI risk management

Law 71/2025 first legislates lifecycle AI risk management, tiered from low to unacceptable. What it means for enterprise AI.

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