AI chatbot development company — ship a bot that actually helps.
We build GPT and Claude powered chatbots that answer from your real knowledge base — not hallucinated. Source citations, smart human handoff when the bot is unsure, integration with your CRM and help-desk, multi-channel (web, WhatsApp, Slack, Teams).
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Apps we already shipped with AI
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Why most chatbot projects fail (and how we avoid it)
The failure mode is always the same: the bot sounds smart on the first 10 questions, then confidently hallucinates on question 11 and loses customer trust. We prevent this with three layers: grounded retrieval so the bot only answers from your actual content; an "I do not know, connecting you to a human" fallback with smart routing rules; and continuous monitoring on real conversations so you catch issues before your users do.
Use cases we ship
Customer support chatbot that answers from your help center and escalates to a human with full context. Sales assistant that qualifies leads, books meetings, and logs to your CRM. Internal knowledge bot for your team (slack or teams) that answers from your Notion / Confluence / Google Docs. Product search + recommendation bot for ecommerce. Appointment booking bot for service businesses. Multi-language chatbot for global products. Voice-capable assistants using Twilio or Vapi.
Channels we deploy on
Website chat widget (custom-branded, lightweight, GDPR-compliant). WhatsApp Business via Twilio / 360dialog / Meta Cloud API. Slack and Microsoft Teams for internal bots. Facebook Messenger and Instagram DMs. SMS. Voice / phone via Twilio or Vapi. Your mobile app via SDK integration. Most projects deploy to 2–3 channels from a single backend, so you do not maintain multiple bots.
Integrations that actually matter
CRM: HubSpot, Salesforce, Pipedrive, Attio. Helpdesk: Intercom, Zendesk, Freshdesk. Calendar: Cal.com, Google Calendar, Outlook. Commerce: Shopify, WooCommerce, Stripe. Knowledge: Notion, Confluence, Google Drive, SharePoint. Human handoff: Intercom conversations, Zendesk tickets, direct Slack pings. We wire the bot into your existing ops, not a separate silo.
What clients say
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“I worked with them on Upwork. It was about solving a huge problem in my e-comm mobile app. They did a great job by not only solving it but also updating the codebase. I loved it. I highly recommend.”
Reza Babu , CEO, Buynow (Germany) — via Trustpilot
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“I found this company full of energy and packed with passionate developers who served with the highest quality of product, which I exactly wanted. Crafted the solution like their own product. Once will love the collaboration with them.”
Ariful Islam — via Trustpilot
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“Professional Developers, Excellent experience! Thanks for completing the project in time”
Raha — via Trustpilot
Pricing
We offer flexible packages — all through Upwork with payment protection. One-off design tasks from $35/screen (app screens, logos, landing pages — no monthly commitment). Monthly design from $750/month. App development from $1500/month. Full-service (research + design + dev + QA) from $3000/month.
FAQ
Frequently asked questions
- What does an AI chatbot development company actually do?
- Everything between "here is our knowledge base" and "live bot answering customers on our website". That includes data ingestion + chunking, embedding + vector store, retrieval + LLM orchestration, guardrails and fallbacks, channel deployment, CRM and helpdesk integrations, monitoring, and continuous improvement. We hand over a bot that operates, not a demo.
- How much does an AI chatbot cost?
- Starter web-only support bot with your knowledge base: from $3,500. Multi-channel with CRM + helpdesk integration: $8,000–$20,000. Enterprise with strict compliance, fine-tuned tone, voice, and analytics dashboards: from $25,000. Monthly retainer from $500 for ongoing tuning + new intents. Upwork escrow on everything.
- GPT or Claude — which is better for chatbots?
- Both work well. Claude (Sonnet / Opus) is often better at following long system prompts and refusing to answer when context is thin — good for compliance-sensitive support bots. GPT-4 is typically faster and cheaper at scale. For voice / realtime we often mix models. We pick based on your use case, not brand loyalty.
- Can the chatbot talk to customers in multiple languages?
- Yes. Modern LLMs handle 50+ languages out of the box. We can auto-detect the user's language, route to language-specific knowledge if you have localized content, and keep the bot's tone consistent per language (more formal in German / Japanese, more casual in Spanish / English, etc.).
- How do you keep the bot from saying something wrong or unsafe?
- Grounded retrieval (bot only answers from your real content), strict system prompts with "do not answer outside scope" rules, automated red-team tests, PII redaction, and a human handoff the moment confidence drops. For regulated industries we add compliance-reviewed refusal patterns and full conversation logs for audit.
Ready to start?
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