What industries do you build AI automation for?
We've shipped AI automation for manufacturing (quality control agents, predictive maintenance), logistics (route optimisation, document processing), financial services (compliance automation, fraud detection), professional services (contract analysis, knowledge retrieval), and retail (demand forecasting, customer service agents). If your workflow involves repetitive decisions or document processing, we can automate it.
How long does it take to deploy an AI agent to production?
A focused, well-scoped AI agent (e.g., a document processing agent or a customer FAQ agent) typically goes from kick-off to production in 4–8 weeks. Complex multi-agent orchestration systems take 10–16 weeks. We don't believe in indefinite AI projects — we scope to ship, then iterate.
Can you deploy AI on our own servers (on-premise)?
Yes — local LLM deployment is one of our core capabilities. We use vLLM and Ollama to run open-source models (Llama 3, Mistral, Qwen) on your own GPU hardware or private cloud. Your data never leaves your infrastructure. We handle hardware specification, deployment, optimisation, and ongoing maintenance.
Do you work with clients outside Vietnam and Southeast Asia?
Yes — our client base spans Switzerland, Austria, Germany, USA, Japan, Singapore, and Australia. We operate in English across all client communication, documentation, and code. Timezone overlap is managed through async tooling and scheduled sync calls. Over 60% of our revenue comes from clients outside Southeast Asia.
How is TechNext different from a typical AI outsourcing firm?
We're not an outsourcing firm — we're an AI product company that also takes client projects. Our engineers work on internal AI products alongside client work, which means they stay current with production AI patterns. We don't staff-augment; we take ownership of outcomes. Your AI system needs to work in production — we're accountable for that.