We build chat bots that handle thousands of customer interactions at once
— answering FAQs, guiding purchases, and routing complex cases to the right person. Always on, always consistent.
Support queues
become too much.
Bots handle FAQs. Agents focus on complex issues.
Customers drop off
outside working hours.
24/7 availability.
Conversations never stop.
Bots feel robotic
and frustrate users.
Conversational design.
Natural language flows.
Integrations are nowhere
to be found.
CRM, e-commerce, and support tools connected.
Didn’t find what you were looking for? Drop us a line at info@toimi.pro.
We build chatbots across categories: customer support chatbots, sales qualification chatbots, internal knowledge chatbots (particularly valuable for entertainment industry companies with extensive production knowledge bases), industry-specific assistants, conversational interfaces embedded in products.
For most Burbank clients, we build on top of foundation LLMs (GPT-4/GPT-4o from OpenAI, Claude from Anthropic, Gemini from Google) rather than training custom language models. We build custom value through domain-specific prompting and system instructions, retrieval-augmented generation (RAG) over client-specific content, custom tools and function calling, conversation state management, integration with client business systems.
RAG architectures enable chatbots to answer questions using client-specific content. We build RAG systems with vector database infrastructure, embedding generation pipelines, chunking strategies, retrieval tuning, hybrid search, citation generation. For Burbank entertainment industry clients, RAG over production documentation and industry knowledge bases provides distinctive value.
Useful chatbots do things, not just answer questions. We integrate with CRMs, ticketing systems, internal APIs, calendar systems, enterprise systems.
Chatbot safety is business-critical. We implement system prompt engineering, content moderation, retrieval grounding reducing hallucination risk, escalation patterns, logging and monitoring.
Yes — voice AI is increasingly practical.
Chatbot metrics combine usage, quality, and business outcomes.
