Chatbot & AI Assistant Development
Conversational AI trained on your data - deployed on web, mobile, Slack, and WhatsApp with analytics and seamless handoff to your team.
Trusted by companies that ship production software on deadline
Everything you need, nothing you don't
We scope each engagement precisely so you get senior-level work on the capabilities that matter.
Custom knowledge base
RAG-powered answers grounded in your docs, FAQs, and product data - so the assistant gives accurate, up-to-date responses.
Multi-channel deployment
One assistant, many surfaces - web widget, mobile app, Slack, Teams, and WhatsApp with consistent behavior across channels.
Intent recognition
Understand what users want - booking, support, sales - and route conversations to the right flow without frustrating dead ends.
Handoff to humans
Seamless escalation to live agents with full conversation context - so customers never repeat themselves.
Analytics dashboard
Track resolution rates, common questions, and satisfaction scores - so you improve the assistant with real usage data.
Multilingual support
Serve global users in their language - with translation, locale-aware responses, and region-specific knowledge.
From FAQ doc to production assistant
We ingest your knowledge, design conversation flows, and deploy assistants that handle volume while knowing when to escalate.
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Week 1: Knowledge audit & flow design
We catalog your content sources, map user intents, and design conversation flows with clear escalation paths.
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Weeks 2-6: Build & train
Knowledge base indexing, intent models, and channel integrations ship incrementally - tested against real user questions.
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Launch: Deploy & optimize
We go live on your channels, add analytics, and iterate on prompts and flows based on the first weeks of conversation data.
Renting is local, so search had to understand a place and a date range as one question rather than two filters. Mirimera built the marketplace and the software our suppliers run on, and because it is one system underneath, nothing has ever had to be kept in sync.
- Pablo
CEO, Big RentalsConversational AI stack
Flexible platforms for NLU, retrieval, and real-time messaging - integrated with your CRM and support tools from day one.
- AI
OpenAI
GPT models for natural, context-aware responses with function calling for actions like booking and lookups.
Dialogflow
Google's NLU platform for intent detection, entity extraction, and multi-turn conversation management.
LangChain
Orchestration for RAG-powered assistants that retrieve relevant docs before generating each response.
Rasa
Open-source conversational AI for full control over NLU, dialogue policies, and on-premise deployment.
WebSocket
Real-time bidirectional messaging for live chat feel - streaming responses and instant typing indicators.
MongoDB
Flexible document store for conversation history, user profiles, and analytics data at scale.
Ready to build your AI assistant?
Book a free 30-minute call. We'll review your support volume, knowledge sources, and channels - then outline a deployment plan.