Builds and Reference
A sample of custom AI applications we have shipped for SMEs. Each build is scoped to a real workflow, not a generic chatbot demo.
Translator Bot
A real-time translator for LINE and Telegram that works in both private and group chats. Conversations can run as paired, two-way translation or be rendered into one language (English, 中文, or 日本語) while the sender’s name stays on the original message. Intelligent voice-to-voice translation is available as a subscription upgrade, with more than twenty languages supported.
MessagingRAG chatbot for a holistic clinic in Meridian, ID.
The assistant absorbs the routine 80% of online inquiries and answers with clear, clinic-specific guidance rather than generic replies. Each conversation is weighted by intent and value, then gently directed toward an on-premise reservation with the right specialist. With CRM integration, customer responses or self-care services stay personalized. Staff are released from inbox triage where their time converts directly into revenue.
HealthcareAgentic listing agent for a luxury realtor in Newport Beach, CA.
Supplements Follow Up Boss with an always-on agent: first response, qualification, appointment booking, stale-pipeline revival, and notes. Qualification matches luxury properties; budget band; timeline; motivation; representation. Appointments land on the agent’s calendar and as FUB tasks/deals.
Real estateMarketing AI Agent for a beauty clinic in Taipei, Taiwan.
Created and deployed a Marketing AI Agent that each week scored mention and citation rate across ChatGPT, Gemini, and Perplexity, then listed the content and data gaps holding GEO back. The team shipped answer-first treatment pages, service and doctor schema, natural-language FAQs, an updated llms.txt, and Maps-ready local data. Within one quarter, the clinic appeared in LLM answers on the AI search shelf where patients actually decide.
GEO optimizationSnap & Count Calories
An AI-powered food diary on LINE. Snap a photo of your meal to get estimated calories and macros (protein, fat, carbs), with a daily intake summary. Built for people who want effortless food logging and better nutrition awareness.
HealthcareEnterprise-grade content assistant in Seattle, WA.
We transformed client’s unstructured enterprise data into a securely embedded local LLM. Through data cleaning and proprietary chunking, we generated vector embeddings and deployed the model on-premises to enable low-latency internal search and decision support that delivers fast ROI while staying within security constraints.
Private Knowledge AIHave a workflow like this?
Tell us the process. We will map a scoped build and a realistic timeline.