AI Chatbot Development Company

A chatbot conducts a conversation — answering questions, qualifying leads, guiding onboarding — with a human on the other end throughout. An AI agent autonomously executes multi-step tasks and workflows, often without a human in the loop at every step. If you need autonomous task execution rather than dialogue, our AI Agent Development Services are the better fit.

Most engagements range from $50,000 to $150,000 depending on channel count, integration complexity, and knowledge base size. Ongoing model inference costs scale with conversation volume.

Single-channel launches with a well-defined knowledge base typically take 6–9 weeks. Multi-channel deployments with deeper CRM integration range from 10–14 weeks.

Responses are grounded via retrieval against your actual product, policy, and support content, with confidence scoring that triggers a human handoff rather than a guessed answer when the bot isn't sure.

Yes, and the full conversation context transfers with it — the customer's history, intent, and prior messages are visible to the agent so nothing has to be repeated.

Web chat, mobile in-app messaging, WhatsApp, SMS, and voice, all sharing the same knowledge grounding and brand voice configuration.

Yes. Multi-lingual conversation support is configured at the model layer, with brand voice and guardrails adapted per language rather than machine-translated after the fact.

You do. All conversation logs, integrations, and configuration remain fully client-owned, and can be exported or migrated at any time.

We build on OpenAI and Anthropic Claude models, orchestrated through LangChain, with the specific model tier chosen per conversation type rather than routing every message through the most expensive option.

If the use case (support deflection, lead qualification, internal knowledge access) is already clear, we build directly. If you're unsure chatbots are the right investment versus an agent or automation solution, a short consulting engagement scopes that first.

Conversation data is encrypted in transit and at rest, access-scoped to your own environment, and PII handling is designed to your specific regulatory requirements (HIPAA, GDPR, PCI where applicable) — scoped during discovery, not assumed.

Yes — deployment can run inside your existing cloud account or a dedicated private environment where data residency or compliance requires it.

We offer post-launch monitoring for conversation quality, escalation-rate tracking, and periodic retuning as your product or policies change — chatbots degrade in accuracy over time without this, same as any production ML system.

Yes — startup engagements are typically a single-channel deployment; enterprise engagements add multi-channel orchestration and CRM integration. Every engagement starts under mutual NDA before any conversation data or requirements are shared.