Mersoid
The assistant in the corner of this page runs on Azure AI with managed identity, email verification, moderation, and instant alerts to our team. It is the exact architecture we would ship for you.
Solutions · Applied AI
An assistant that actually knows your business.
Generic chatbots answer generically. We build AI grounded in your product catalogue, your policies, your documents — assistants that answer customers on webchat, Zalo and Messenger, route requests to the right team, and hand off to a human the moment it matters.
The problem
Your knowledge exists. It's just trapped in people and PDFs.
Every company already has the answers — in manuals, tickets, spreadsheets, and the heads of two overworked experts. The cost isn't ignorance; it's retrieval. Customers wait, staff repeat themselves, and documents get read once and forgotten. Applied AI is retrieval done right: grounded answers with sources, in every language your customers speak, available at 2 a.m.
What we build
From answering questions to taking approved actions.
- Knowledge assistants grounded in approved company content
- Customer service bots — one brain across webchat, Zalo OA, Facebook Messenger
- Document intelligence: invoices, forms, contracts extracted and verified
- Multilingual support — Vietnamese and English as first-class citizens
- AI that takes actions: create tickets, book slots, update records, with approval gates
- Abuse protection: verification, throttling, quotas, relevance gates
Sovereign & local AI: for regulated firms, public sector, and anyone whose data must never leave their control, we deploy language models on your own infrastructure or pinned to your jurisdiction. Read the deep dive.
Proof
You're looking at one.
40,000+ items, one assistant
A single engagement transformed 40,000+ source items into structured learning and troubleshooting guidance with hundreds of guided resolution flows.
Fully AI-generated experiences
A detective game where every case — story, clues, artwork — is generated live. The same pipeline powers training scenarios and an automatic multi-voice audiobook studio.
How an engagement starts
Free proof of concept, then a fixed-scope proposal.
- Scope the knowledge
We look at what the assistant must know, who it serves, and what a wrong answer would cost. That decides the grounding architecture.
- Working demonstration
A focused proof of concept answers real questions from your real content — before any payment is exchanged.
- Fixed-scope proposal
Channels, languages, escalation rules, running costs on Azure, and what stays human — in writing.
Questions
Straight answers.
Will it make things up?
Grounded assistants answer from approved content and say so when they don't know. We design relevance gates and human escalation in from day one — and we show you the failure modes during the proof of concept.
Can it connect to our existing systems?
Where a system offers a supported interface, the assistant can read from it or act on it — always behind approval gates you define.
Does our data train someone else's model?
No. Your content grounds responses at request time; it is not used to train foundation models. For stricter requirements, we deploy models fully inside your infrastructure.
Which channels can it live on?
Webchat, Zalo Official Account, Facebook Messenger, and email — one service behind channel adapters, so every channel gets the same brain.
Next step