NexaVision AI is my own company, where I lead the technical architecture for business automation. I deploy multi-tenant n8n environments on VPS infrastructure, with isolated client instances and integrations with CRM tools, Gmail, Slack, WhatsApp Business, OpenAI and databases. The workflows combine LLMs with custom JavaScript logic for 24/7 support, multilingual content generation and lead enrichment.
Problem, stack and result
Problem solved
Company building custom AI agents to automate customer support, lead generation, social media, blogs and internal processes. Multi-tenant architecture with n8n, LLMs and REST APIs.
Technologies used
Core stack: n8n, Node.js, JavaScript. Project technologies: n8n, Node.js, JavaScript, OpenAI, LLMs, VPS, REST APIs, Webhooks.
What I did
My role was Co-founder · Automation & AI Lead. I worked on the technical implementation, product approach and enough documentation for the result to be explained and evolved.
Result or learning
Multi-tenant n8n environment deployed on VPS infrastructure with client isolation. Vertical AI agents for support, leads, social media and automated blogs.
Highlights
- Multi-tenant n8n environment deployed on VPS infrastructure with client isolation.
- Vertical AI agents for support, leads, social media and automated blogs.
- Multilingual service (ES/EN/CA) powered by LLMs and content pipelines.
- Documented reduction of operational costs in pilot clients.