Intelligent conversations. Real business results.
We build custom AI chatbots that go far beyond canned responses. Whether you need a 24/7 customer support agent, a product knowledge assistant, or an internal operations bot, we engineer chatbots grounded in your real data using RAG, fine-tuning, and battle-tested LLM architecture.
Every engagement is tailored. Here's what a typical chatbot development engagement includes.
Chatbots that answer questions from your own documents, product catalogues, and knowledge bases — accurately and without hallucination.
Deflect up to 70% of support tickets with an AI agent that handles FAQs, order queries, and escalations automatically.
Deploy your chatbot on your website, WhatsApp, Slack, Teams, or any custom interface. One backend, every channel.
Beautiful, on-brand chat interfaces engineered for engagement — not just a floating widget bolted onto your site.
Seamless handoff to human agents when needed, with full conversation context passed to your CRM or helpdesk.
Built-in conversation analytics to track resolution rates, drop-off points, and improve the bot over time.
A proven process. No surprises.
We define the exact scenarios your chatbot will handle and map out conversation flows.
We ingest your documents, FAQs, and product data into a vector store for accurate retrieval.
We build, prompt-engineer, and rigorously test the bot across hundreds of real user scenarios.
We deploy, monitor conversations, and iteratively improve performance based on real usage.
Everything you need to know before getting started.
A basic AI chatbot with a fixed knowledge base typically starts around $2,000–$5,000. A full-featured RAG-powered support bot with CRM integration and custom UI typically ranges from $8,000–$25,000 depending on complexity.
RAG (Retrieval-Augmented Generation) is a technique that grounds an AI chatbot in your real data — documents, product catalogues, FAQs. This eliminates hallucinations and ensures the bot only answers from verified information.
Yes. We integrate with Salesforce, HubSpot, Zendesk, Freshdesk, Intercom, and custom APIs. Conversation context is passed seamlessly when escalating to human agents.
We typically use OpenAI GPT-4o, Google Gemini, or Anthropic Claude depending on your requirements. All chatbots are model-agnostic — we can swap models without rebuilding the architecture.
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