Custom Rasa Chatbot & Voice Assistant Development

I design and build self-hosted conversational AI systems on Rasa, so you get a smart assistant that you actually own — code, models, and conversations all staying on your own infrastructure. Whether you need a customer-support chatbot, an internal helpdesk agent, a lead-qualification bot, or a voice assistant, I handle the full pipeline: intent and entity recognition (NLU), dialogue management, slot-filling forms, custom actions, and clean integrations with your CRM, database, or messaging channels.

My work starts with your real conversations. I map the intents your users actually express, define the entities that matter, and train an NLU model that understands paraphrases, typos, and mixed phrasing. Then I build robust dialogue policies with Rasa's rules and machine-learned stories, so the assistant stays on track, asks the right follow-up questions through forms, and gracefully recovers when a request falls outside its scope. A custom action server connects the bot to your APIs, so it can look up an order, book a slot, or trigger a workflow in real time.

You receive a documented, testable, containerized deployment — no vendor lock-in, no per-message fees, and no data leaving your servers. I set up test stories, CI checks, and a retraining routine so your assistant keeps improving after launch. Typical deliverables:

— Trained NLU pipeline for your intents and entities;
— Dialogue policies, forms, and fallback handling;
— Custom action server wired to your systems;
— Containerized deployment with tests and documentation.