Custom AI Chatbot Development — Built for Your Business, Not the Average User
We build GPT and Claude-powered chatbots trained on your data. Customer support, lead qualification, internal knowledge bases, and voice-powered agents — deployed in weeks, not months.
What We Build
Every chatbot we deliver is architected for your specific context — your data, your stack, your users. We don't reskin no-code tools; we engineer production-grade AI systems.
Customer Support Automation
Handle 80% of tier-1 support tickets without human intervention. The bot escalates to your team only when it truly can't resolve the issue.
Lead Qualification Bots
Engage website visitors 24/7, ask the right qualifying questions, and deliver hot leads directly to your sales CRM — while you sleep.
Internal Knowledge Bases
Let your team ask questions and get instant, accurate answers from your SOPs, wikis, and product docs — no more digging through Notion or Confluence.
Document Q&A Systems
Upload contracts, research papers, compliance documents, or product specs and query them conversationally. We've built these for law firms, healthcare orgs, and enterprise teams.
Voice-Powered Chatbots
Combine OpenAI Whisper for transcription with GPT for reasoning to build voice-first AI assistants — for call centers, clinics, and field workers.
Onboarding & Training Bots
Reduce time-to-productivity for new hires with an AI assistant that knows your entire company playbook and answers questions on demand.
Our Development Process
From the first call to a live chatbot — most projects complete in 4–8 weeks.
Discovery & Scoping
We map your use case, existing tools, data sources, and success metrics. You get a clear scope document with timeline and fixed-price quote.
Architecture & Data Prep
We design the knowledge architecture — which documents go into the vector store, what APIs to connect, and how conversation flows are structured.
Build & Integration
We build the chatbot, connect it to your data sources and CRMs, and run iterative testing with real scenarios from your business.
Quality & Accuracy Tuning
We test edge cases, tune retrieval, reduce hallucination rates, and validate the bot handles your top-50 queries accurately before launch.
Deploy & Handover
We deploy to your stack (web widget, Slack, API endpoint, or mobile) and hand over full documentation and ongoing support options.
Technology Stack
LilGPTx — Document Chatbot
We built LilGPTx, a GPT-powered document intelligence chatbot that lets users upload PDFs and query them conversationally. The system uses Pinecone for semantic retrieval and GPT for contextual answers — delivering accurate responses across multi-hundred-page documents with under 2-second latency.
Investment
Chatbot projects are scoped on a fixed-price basis after a free discovery call. Typical ranges:
Single use case. One data source. Web widget or Slack deployment. 3–4 week build.
Multiple data sources, CRM integration, conversation analytics. 5–7 week build.
Multi-agent architecture, tool use, workflow triggers, voice support. 7–12 week build.
Frequently Asked Questions
How long does it take to build a custom AI chatbot?
Most custom chatbot projects take 4–8 weeks from discovery to deployment. A straightforward customer support bot can launch in 3–4 weeks. A multi-system agent with RAG (retrieval-augmented generation) and CRM integrations typically takes 6–8 weeks.
What makes a custom chatbot better than off-the-shelf tools like Intercom or Drift?
Off-the-shelf tools use generic models trained on general internet data. A custom chatbot is trained or fine-tuned on your specific documents, products, policies, and tone of voice — which means more accurate answers, fewer hallucinations, and a far better customer experience. It also integrates with your existing stack rather than forcing you to adopt a new platform.
Which AI models do you build with?
We primarily build with OpenAI GPT, Anthropic Claude, and open-source models like Llama for on-premise or cost-sensitive deployments. The right model depends on your use case, compliance requirements, and latency needs — we advise on this during discovery.
Can you integrate the chatbot with our CRM, database, or internal tools?
Yes. We routinely integrate chatbots with Salesforce, HubSpot, Notion, Airtable, Slack, and custom databases via REST APIs. The chatbot can read and write data, look up records, trigger workflows, and escalate to human agents — all within a single conversation flow.
How much does a custom AI chatbot cost?
Typical chatbot projects range from $10,000 for a focused, single-purpose bot to $50,000+ for complex multi-agent systems with deep integrations. We provide a detailed scope and fixed-price quote after a free discovery call.
Ready to build your chatbot?
Tell us your use case — we'll scope it, quote it, and ship it. Free 30-minute discovery call.