AI chatbot development company building bots that hold a conversation.

An AI chatbot development company designs, engineers, and ships custom conversational AI for a client's specific data, channels, and integrations — rather than selling a SaaS template. The work spans retrieval architecture (RAG), multi-turn memory, typed tool calling, multi-channel deploy (web, WhatsApp, SMS, Slack, Teams), human handoff, eval harnesses, and production observability.

SaaS chatbots are fast to deploy and cheap to start, but the architecture, retrieval logic, and data model are owned by the vendor — and you pay per resolution or per seat. Custom development means the chatbot lives inside your codebase, on your cloud, with full access to your data and full control of the prompts, retrieval, and tool calls. The right answer depends on your compliance scope, integration count, and long-term cost model.

Two weeks for a knowledge-base chatbot pilot on one channel with a deflection guarantee. Six weeks for an agentic chatbot with CRM tool calls, custom evals, and human handoff workflows. Twelve weeks for a multi-channel enterprise rollout with HIPAA scope and on-prem deployment.

Four layers. Hybrid retrieval grounds answers in your corpus, an explicit refusal layer rejects out-of-scope queries, citations are inline on every answer, and an eval harness blocks any prompt change that regresses hallucination rate or citation accuracy against the golden set. Every model and tool call is audit-logged for forensic review.

Web widget, WhatsApp Business, SMS via Twilio, Slack, Microsoft Teams, and a REST API for custom apps. One configuration ships to every channel — the bot adapts its UX per channel (shorter replies on WhatsApp, adaptive cards on Teams, voice flows on Twilio). Multi-language support via Claude, GPT-4o, or Llama 3 — 40+ languages out of the box.

Most v1 chatbot engagements at Aiinfox land between $25,000 and $90,000 fixed-price. The number depends on channel count, integration complexity, and compliance scope (HIPAA, SOC 2). Two-week pilots typically run $8,000–$15,000 and include a deflection guarantee written into scope.

Yes for self-hosted and dedicated cloud deployments. We sign BAAs, support customer-managed encryption keys, and pin LLM inference to a region you choose. Self-hosted Llama 3 on vLLM keeps every patient interaction inside your network. Audit logs cover every model call. SOC 2 Type II is in progress.

Yes. Every engagement ends with a code handover, runbooks, eval harness, and on-call docs. Your repo, your infrastructure, your operating team. Optional retainer for ongoing evals, drift monitoring, and on-call response — but always optional, never required for handover.