A chatbot that answers with canned responses and can't find a real answer ends a customer's trust the moment it responds wrong. LiFet builds chatbots that actually know your business, trained on your real content and your real support history, so the answers are accurate, not generic.

This page is for businesses whose support team spends real hours answering the same questions over and over, on a website, inside a product, or both. Founders who need a chatbot as a core product feature, and companies that want real customers getting real, accurate answers instantly instead of waiting for a support queue.

A generic chat widget with pre-written responses breaks the moment a customer asks something even slightly outside the script, and once it breaks, the customer stops trusting it entirely. LiFet builds chatbots trained on your actual product, your actual documentation, and your actual support history, so it handles real questions correctly instead of falling back on a generic non-answer.
Custom chatbot trained on your actual product and support content.
Multi-turn conversation handling, not one-off canned replies.
Connected to your real knowledge base or documentation.
Fast deployment directly on your website or inside your existing app.
Handoff to a real person when the chatbot can't answer confidently.
Full conversation logging so you see exactly what customers are asking.
We review your actual support volume, your actual common questions, and flag real risks before any code gets written.
The exact chatbot scope and any real compliance requirements get locked in writing before development begins.
A real, tested conversation flow you review and approve before the build phase starts, not a placeholder script.
The real technical foundation gets built first, knowledge base connection and core infrastructure, before any conversation logic starts.
Conversation flows get built and tested one at a time, tracked against a visible pipeline you can see progress on.
Every conversation flow is tested against real customer questions before it counts as done, not assumed working.
Your chatbot goes live on your real website or app, handling real conversations, not a staged demo.
Real, ongoing monitoring and tuning after launch, not a one time handoff.
Python and FastAPI for the chatbot logic, Node.js for real-time handling, LLM APIs for the core conversational models, PostgreSQL, Supabase, and Redis for your knowledge base and conversation data, and React, TypeScript, and Tailwind CSS for the chat widget itself.
We don't sell canned scripts, we build chatbots that actually know your business.