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, industry-specific assistants, conversational interfaces embedded in products. For Glendale retail and e-commerce clients, chatbot customer service and product recommendation capabilities are particularly valuable. For multilingual Glendale businesses, chatbots handling Armenian, Korean, Spanish, and English queries serve diverse customer bases.
For most Glendale 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 from scratch. 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 (Pinecone, Weaviate, Qdrant, PostgreSQL with pgvector), embedding generation pipelines, chunking strategies for different content types, retrieval tuning, hybrid search combining vector and keyword approaches, citation generation.
Useful chatbots do things, not just answer questions. We integrate with CRMs (logging interactions, creating leads and cases), ticketing systems, internal APIs, calendar systems, enterprise systems specific to client operations.
Chatbot safety is business-critical. We implement system prompt engineering establishing appropriate scope and tone, content moderation for user inputs and AI responses, retrieval grounding reducing hallucination risk, escalation patterns, logging and monitoring.
Yes — voice AI is increasingly practical. We build voice applications: phone-based voice assistants, voice-enabled web applications, smart speaker integrations, in-vehicle or embedded voice interfaces.
Chatbot metrics combine usage, quality, and business outcomes. Usage: conversation volume, message counts, session lengths. Quality: response relevance, hallucination rates, user satisfaction ratings. Business outcomes: support ticket deflection rates, lead qualification rates, conversion from chatbot interactions.
