A modern, modular stack behind every AI assistant we build. Each technology is chosen to do a specific job — fast, reliable and cost-effective.
For our AI assistants we use a modern, modular stack. On the web side, the frontend is built with React, Next.js, JavaScript, HTML and Tailwind CSS, and a Next.js backend handles the API layer and integrations.
The core AI brain is based on OpenAI’s LLMs (mainly GPT-4o), while Voiceflow is used to map and orchestrate the chatbot logic and conversation flows.
For data storage we rely on Supabase (PostgreSQL) or Airtable for lighter projects, and when large files or logs are needed we plug in Amazon S3. Additional automations such as email handling, notifications and background jobs run through n8n, and we use small Python scripts for recurring automations and caching to reduce token consumption and keep the system efficient and cost-effective.
A breakdown of the technologies by their role in the system — from what the user sees to the automations behind the scenes.
The user interface — what clients see and interact with. We build fast, responsive and modern interfaces.
The behind-the-scenes logic — handles requests, connects systems and ensures secure data exchange.
The brain of the assistants — understands natural language, responds meaningfully and orchestrates conversations.
Where the information lives — reliable, structured and scalable to the project’s needs.
The tasks that run themselves — emails, notifications and background processes with no manual work.
The fine layer that keeps the system efficient and costs under control.
Let’s apply this stack to your business — an intelligent solution that runs reliably and grows with you.