Custom AI Chatbot Development for Your Industry

Off-the-shelf chatbots use generic responses and simple keyword matching. A custom AI chatbot is trained on your specific business data, understands your industry's terminology, handles complex multi-turn conversations, integrates with your backend systems, and can take actions (not just answer questions). The difference in conversion rates and user satisfaction is significant.

We can train on virtually any structured or unstructured text data: website content, PDF documents, help center articles, product manuals, CRM data, previous support conversations, internal wikis, and more. We use RAG (Retrieval-Augmented Generation) to keep the chatbot grounded in your content and prevent hallucinations.

Yes. Beyond answering questions, our chatbots can make API calls to your systems — booking appointments in Calendly or your scheduling software, checking order status in your ecommerce platform, creating support tickets in Zendesk or Jira, or any other action your system exposes via API.

We use RAG (Retrieval-Augmented Generation) which grounds responses in your actual documentation rather than relying on the LLM's general training. We also implement confidence thresholds — when the chatbot is uncertain, it escalates to a human or says "I'm not sure" rather than guessing. Every response can be traced back to a source document.

Anywhere. Website widget (plug-and-play JavaScript embed), mobile app SDK (iOS/Android), WhatsApp Business API, SMS, Slack, Microsoft Teams, or as an API endpoint you call from your own UI. Most clients start with a website widget and expand from there.

A focused chatbot (one domain, one deployment channel) takes 3–5 weeks. A multi-channel chatbot with backend integrations takes 6–10 weeks. We typically have a working demo for you to test by end of week 2.