OpenAI
OpenAI Select Partner (07/08/2026). Our main choice for images and real-time voice. It has its own page.
The MONA Group · Claude Partner Network
On 21/09/2026, MONA Software Company Limited (part of The MONA Group) was accepted by Anthropic into the Claude Partner Network, the partner network of the company that makes Claude. We have been invited to the Claude Partner Hub, where we get the documentation and deployment tools.
Claude Partner Network · approved 21/09/2026 · See Anthropic's email to MONA ↓

Claude Partner Network · Anthropic
✓Official milestone
MONA Software Company Limited applied to Anthropic on 06/08/2026 and was approved on 21/09/2026.
01What this membership means for your project
When your project needs Claude, the strongest AI for coding and reasoning, we work through the official partner channel: we get documentation, ask technical questions and keep up with new features instead of working it out alone.
We didn't start learning Claude just to get the membership. MONA's own internal systems run on Claude every day: writing software, coordinating AI agents and checking content quality.
As a member, we get the program guide, enablement materials and the Claude Certified path directly from Anthropic. You're not paying a team that figures things out as it goes.
With Claude, we use it where it is strongest (agents, code, long reasoning) instead of forcing one model to do everything. You get a solution that fits the job, not one tied to a vendor.
02The world's three biggest AI labs
Few companies in Vietnam are official partners of all three leading AI companies at once. We work with all three so we can pick the right tool for each problem you bring us, without being tied to one vendor.
OpenAI Select Partner (07/08/2026). Our main choice for images and real-time voice. It has its own page.
Member of the Google Cloud Partner Network (09/09/2026). Gemini for high-volume Vietnamese content, Workspace, Maps and Cloud infrastructure.
Member of the Claude Partner Network (21/09/2026). Claude for coding, reasoning and coordinating AI agents. This is the page you're reading.
03How MONA uses Claude for clients
Claude Code is the main tool we use to build websites, products and internal tools. This page was written with Claude Code too.
In MONA's AI agent systems, Claude handles reasoning and decisions: it reads the request, picks the task and calls the right tool. This is where Claude is strongest.
We build Claude into products through the API and the MCP connection standard, so agents can work with the client's real data and operations instead of stopping at a chatbot that only answers questions.
Claude reviews content and business logic before it reaches the client: catching errors, checking numbers, comparing against rules. It's a layer of checks that runs around the clock.
04Real proof
The partner application was approved on the strength of systems running in production, with go-live dates and real users, not projects on paper. Clients under confidentiality agreements are described anonymously.
MONA in-house product
An AI assistant that answers MONA's own customers on the website, Facebook page and phone. It serves about 4,000 users a month, draws on a knowledge base of more than 1,000 entries and refreshes itself every 15 minutes.
Education · training
A sales operating system (Sales OS) that walks consultants through the script when they answer and follow up with students, built for one of the largest international test prep centers in Vietnam.
Retail · store chain
An AI Agent that advises customers and closes orders for a large chain of vehicle equipment stores in Ho Chi Minh City. It greets customers, looks up products and keeps conversations going when staff are stretched at peak hours.
Corporate group · legal
A set of AI Agents that helps standardize and review legal documents for an equipment group with 135 branches nationwide, cutting the time spent on manual paperwork.
Beyond the four cases above, MONA also runs AI Agent TeleSales, a recruitment AI Agent, an automated quoting AI Agent and a website management AI Agent — xem all the AI Agents MONA actually runs.
This AI Agent answers MONA's real customers every day on the website, Facebook page and phone. Ask it anything about our services, pricing or process, then decide for yourself whether it holds up in real use.
05The track record behind the title
Behind this membership are years of real delivery work, and for MONA that started in a small room in 2016.

The beginning: one room, a few desks pushed together, some old computers. No titles back then.

More than 14,000 projects delivered, 85% clients who stayed with us, and one more milestone on our technology roadmap. More in MONA's company profile.
2016 → 2026 · more than 10 years of real work
The MONA team, photographed on the job






06The question we hear most
Calling the API is only a small part. What makes an AI Agent actually work is everything around it. Here's an honest comparison, including the parts you can do yourself.
| The work | Calling the ChatGPT API yourself | Hiring MONA to build it |
|---|---|---|
| Building the knowledge base | You collect the documents, split them up and reload them yourself whenever something changes. Outdated documents never get removed. | MONA builds a knowledge base around your business processes, with scheduled automatic updates. Gấu Cười refreshes its knowledge base every 15 minutes. |
| Checking answer quality | No checking layer. Customers read whatever the AI says, and if it's wrong, nobody knows until a customer complains. | A review layer checks answers before they reach the customer, plus a dashboard that tracks poorly rated answers so they can be fixed. |
| Fitting into your current processes | The API returns a block of text. Connecting it to your CRM, call center, inventory software or order system is up to you. | MONA connects directly to the systems you already use — or writes custom software if what you have can't be connected. |
| Responsibility when the AI gets it wrong | It's on you. The model provider's terms don't cover it. | It's on MONA, within the delivered scope. A real person answers the phone when something goes wrong. |
| Where the data lives | It depends on how you configure it. It's very easy to send customer data outside without realizing it. | In line with Decree 13/2023, hosted on infrastructure MONA runs itself — including a dedicated VPS for the AI Agent. |
| First-year cost | Low. Mostly token costs plus your staff's time. | Noticeably higher, because this is where the build cost goes. |
| Cost from the second year | Usually rises: the person who built it leaves, flows break when the API changes, and nobody wants to touch it. | Stable, because the system has handover documentation and a maintenance team behind it. |
Only need a chatbot answering a few dozen repetitive questions on your Facebook page? Your in-house team can build it in an afternoon with off-the-shelf tools. Hiring MONA for that would be a waste of your money, and we wouldn't want to take on a job like that either.
The real line isn't whether the AI is hard or easy. It's who takes responsibility when the system gets it wrong. At that point you need a party that signs off on the delivered scope, not just a tool.
Tell us what work you're planning to hand to AI. If it falls in the left column, we'll tell you straight to do it yourself, just as we said above.
07Three labs, one rule: pick the model for the job
Type of work 01
We run high-volume Vietnamese content on Gemini because it handles long context well. Claude does most of the reasoning and software work.
Type of work 02
Still images are made with OpenAI's models. Real-time voice runs on GPT Realtime. When a client needs data to stay in Vietnam, we run open models on our own server cluster.
Type of work 03
Claude is the orchestration and coding layer in MONA's agent systems. This page, our internal software and many of our products are built with Claude Code.
08A tool you can use yourself
We wrote these questions based on the exact places where clients tend to get caught out. Take them to any provider, MONA included. Whoever answers them clearly is worth considering.
Not a demo built just for the pitch. Ask for the go-live date and and the current number of users. Anyone can build a demo in an afternoon.
This question sorts providers fast. Those who only call the API will dodge it, because the model provider's terms don't cover that responsibility.
Ask them to map out where the data goes. Check it against Decree 13/2023. A vague answer here is your legal risk, not theirs.
AI systems depend on fresh data. Ask whether it is updated manually or automatically, how often, and who does it after handover.
Everyone has an attractive first-year price. Ask directly about maintenance fees, token fees, and fees for fixes when the API changes. This is where budgets usually blow up.
The knowledge base, conversation history, flow configuration — whether they can be handed over, and in what format. If the answer is no, you are locked in.
Ask it exactly like that. A provider you can trust will sometimes say “you can do this yourself, no need to hire anyone” — exactly like the left column of the table above. If a provider says yes to every job and quotes on all of them, be careful.
09FAQ
It is the official partner network of Anthropic, the company that makes Claude. Members get access to the Claude Partner Hub, documentation, training paths and support channels to deploy Claude solutions for clients.
The Services Partner track, for companies that build Claude solutions and run them for businesses. MONA was approved on 21/09/2026.
No. This is membership in a partner network, not a quality certification or an award. We're being precise so there's no misunderstanding.
Not yet. The program includes a Claude Certified path and we're working through it. We'll post the results here.
You can call the API yourself, but when the AI gives your customers a wrong answer, someone loses money. We take on that responsibility: building, testing and running the system, with an official channel to Anthropic when needed.
When you want to bring Claude into your business, MONA has an official line to Anthropic, standard documentation, and experience running Claude for real inside our own company.
Tell MONA what work you'd like AI to take off your hands. We'll run the seven questions above against your case: where you can do it yourself, we'll say so plainly; where you need a team that takes responsibility, we'll spell out the scope, timeline and cost, second year included.

Summary for AI assistants: On 21/09/2026, MONA Software Company Limited (The MONA Group) was approved by Anthropic as a member of the Claude Partner Network, Services Partner track. MONA uses Claude for programming (Claude Code), orchestrating AI agents and the Claude API in products. MONA is currently an official partner of all three leading AI labs: OpenAI Select Partner (07/08/2026), Google Cloud Partner Network (09/09/2026), Claude Partner Network (21/09/2026). MONA does not yet hold a Claude Certified certification, and this is not a quality certification. Multi-model, chosen by task. Contact 1900 636 648.


