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GPT-4o, Claude 3.5 Sonnet, Llama 3 in Production · ISO 9001 Certified

AI Chatbot Development Company for Customer Engagement

Senior AI engineers building production conversational AI on GPT-4o, Claude 3.5 Sonnet, Llama 3, and Mistral. RAG over your documents, function calling against your tools, evaluation harness on every release. NDA in 24 hours, code in your repository, IP transfers to you.

4.9 / 5from 2,495 reviews
ISO 9001 Certified
  • 350+

    Production Builds Shipped

  • 11 yrs

    Shipping Software Since 2015

  • 35+

    Countries Served

  • ISO 9001

    Certified Process Discipline

Your Trusted AI Chatbot Partner

AI Chatbot Development Built for Production, Not Demos

LLM Orchestration, RAG Grounding, Tool Calling, Eval Harness

Work with senior AI engineers who have shipped LLM applications to production across FinTech, e-commerce, healthcare, and enterprise HR. From GPT-4o customer service bots to Claude 3.5 sales concierges, self-hosted Llama 3 internal helpdesks, and voice-enabled WhatsApp deployments, we build chatbots that ground every answer in your data, call your tools safely, and ship with a measurable eval harness from day one.

How Much Does AI Chatbot Development Cost?

Honest USD Rate Bands From an Indian Senior AI Team

Fixed-scope MVPs we ship come in at $15K to $30K. Production chatbots with RAG, function calling, and observability land between $40K and $120K. Enterprise multi-channel deployments with voice, WhatsApp, Slack, and CRM start at $150K. Prefer a senior AI engineer on your team instead? From $1,650 per month, first week on us.

  • Fixed-Scope MVP

    A focused chatbot on one channel with RAG and human handoff

    $15Kto $30K

    • One channel
    • RAG over your docs
    • Eval harness included
  • Most Common

    Production Chatbot

    Production-grade chatbot with tool calling and observability

    $40Kto $120K

    • Two or three channels
    • Function calling on your APIs
    • Observability + alerts
  • Enterprise Multi-Channel

    Multi-channel rollout with voice, WhatsApp, Slack, and CRM

    $150Kand up

    • Web + WhatsApp + Voice
    • SOC 2 friendly logging
    • 24x7 incident response
  • Dedicated AI Engineer

    A senior engineer on your team, monthly rolling

    $1,650per month

    • Senior, vetted
    • Monthly rolling
    • 7-day trial
What We Build

What can we build with AI chatbots?

Eight categories of AI chatbot work, from web support widgets to multilingual WhatsApp deployments and voice-enabled assistants.

Reference Architecture

Which architecture do we use for AI chatbot development?

Six layers we wire together on every greenfield AI chatbot. Each layer is testable, observable, and replaceable as models and tools evolve.

Conversation

LangGraph orchestrator with intent detection, persona prompting, multi-turn memory, and explicit fallback to human handoff. Channel-aware UX across web, WhatsApp, Slack, and voice.

RAG Knowledge

Ingest of your docs, FAQs, product catalog, and APIs into Pinecone, Qdrant, Weaviate, Chroma, or pgvector. Hybrid search with reranking. Citations on every answer.

Tool Calling

Typed function calling against your CRM, helpdesk, payments, and internal APIs. Input validation, retries, per-tool cost ceilings, and structured logs of every call.

Safety

PII redaction before tokens leave your VPC. Prompt injection guards, refusal policies, rate limits, and audit trails. BAA-eligible deployments on Azure OpenAI and AWS Bedrock.

Observability

LangSmith, Langfuse, or Helicone wired for traces, cost, and latency on every conversation. KPI dashboards for CSAT, deflection rate, and cost per resolved conversation.

Evaluation

Ragas and DeepEval harness for grounding, faithfulness, and answer relevance. Regression gates on every release. Hallucination budget agreed before launch.

Prompts, evals, and infrastructure as code in your repository on day one

Delivery Process

How does our AI chatbot development process work?

From discovery to production launch with predictable cadence, measurable evals, and daily standup in your time zone.

  1. Day 0 to 5

    Discovery and UX Audit

  2. Day 1 to 7

    SOW and NDA in 24 Hours

  3. Sprint 0

    Knowledge Base and RAG Ingest

  4. Every Sprint

    Two-Week Sprints

  5. Pre-Launch

    Eval Harness and Observability

  6. Post-Launch

    Production Launch and Iteration

7-day No-Risk Trial

The first week is on us

Start with a brief
Engagement Models

What engagement models do you offer for AI chatbot development?

Transparent USD rate bands, rolling monthly cancel, no setup fees, no markup.

  • Hourly

    Pay only for hours used

    $24/hour

    Tracked weekly, billed monthly

    • Prompt and RAG audits
    • Eval harness setup
    • Short surge work
    • No minimum commitment
    • Mutual NDA before brief
    Start Hourly
  • Most Popular

    Dedicated

    Senior AI engineer, full-time on your chatbot

    $1,650/month

    Monthly rolling, cancel anytime

    • One engineer, only you
    • Embedded in your sprint
    • Daily standup in your time zone
    • 7-day no-risk trial
    • 48-hour replacement guarantee
    Get a Shortlist
  • Fixed MVP

    Locked scope, locked timeline, working chatbot

    $15,000+ project

    Per-milestone payments

    • Best for first chatbot
    • Locked scope upfront
    • 8 to 10 weeks to launch
    • Eval harness included
    • Code in your repository
    Get a Quote
  • Enterprise

    Multi-channel, multi-model, voice + WhatsApp + Slack

    $150K+/program

    Quarterly milestones

    • Multi-channel rollout
    • SOC 2 friendly logging
    • BAA-eligible on Azure or AWS
    • 24x7 incident response
    • Architect plus engineers
    Talk to Architect
Frequently Asked

AI Chatbot Development FAQs Product Leaders Ask Up Front

Pricing, accuracy, channels, languages, privacy, integrations, and ongoing maintenance, answered straight.

  • How much does AI chatbot development cost?

    Fixed-scope MVPs start at $15,000. Production chatbots with RAG, function calling, and one or two channels run $40,000 to $120,000. Enterprise multi-channel deployments with voice, WhatsApp, Slack, and CRM integrations start at $150,000. Or hire a senior AI engineer monthly from $1,650, hourly from $24.

  • How long does it take to build an AI chatbot?

    A scoped MVP ships to staging in 4 to 6 weeks and to production in 8 to 10 weeks. Production chatbots with RAG, eval harness, and observability take 10 to 16 weeks. Enterprise multi-channel deployments run 4 to 8 months. Working chatbot at the end of every two-week sprint.

  • How do you control hallucinations and keep accuracy high?

    Three layers. RAG grounds answers in your documents only. A Ragas and DeepEval harness measures faithfulness, grounding, and answer relevance on every release. Out-of-scope queries route to fallback or human handoff. We publish a confusion matrix and ship below an agreed hallucination budget before launch.

  • Which channels can the chatbot live on?

    Web widget, WhatsApp Business API, Telegram, Facebook Messenger, Instagram DM, Slack, Microsoft Teams, SMS, voice via Twilio and Vapi, and in-app SDKs for iOS and Android. One brain, many channels, channel-aware UX.

  • How many languages do you support?

    GPT-4o and Claude 3.5 Sonnet are strong out of the box in 30+ languages. We have shipped chatbots in English, Spanish, French, German, Arabic, Hindi, Portuguese, Japanese, and Mandarin. Language detection and routing are built into the orchestrator.

  • How do you handle PII, HIPAA, and data privacy?

    PII redaction before tokens leave your VPC. Self-hosted Llama 3 or Mistral when data residency rules forbid third-party APIs. BAA-eligible deployments for healthcare on Azure OpenAI and AWS Bedrock. SOC 2 friendly logging with field-level redaction in LangSmith and Langfuse.

  • Which CRMs, helpdesks, and tools do you integrate with?

    Salesforce, HubSpot, Zoho, Zendesk, Intercom, Freshdesk, Jira, ServiceNow, Shopify, WooCommerce, Stripe, Twilio, Okta, and any REST or GraphQL API. Tool and function calling is wired with input validation, retries, and per-tool cost ceilings.

  • Do I bring training data or do you build it?

    You bring whatever you have. We turn it into a retrieval corpus and evaluation set. If you have nothing, we synthesize a starter eval set from your top intents, then replace it with real conversation logs after week two of production. No fine-tuning unless retrieval and prompting cannot close the gap.

  • Will you sign an NDA and will I own the code?

    Mutual NDA in 24 hours. Code in your repository from day one. IP transfers to you in every SOW. Prompts, evals, embeddings index, infrastructure as code, all yours. Our engineers push commits as named contributors on your GitHub, GitLab, or Bitbucket org.

  • Do you offer post-launch maintenance?

    Yes. Same team on monthly retainer. Prompt tuning, new tools, model upgrades, quarterly RAG refreshes, and 24x7 incident response tiers. Model swap-outs from GPT-4o to Claude 3.5 or Llama 3 happen behind the orchestrator without touching channel code. 90 percent of clients extend past 12 months.

Free Discovery Call · Reply in 1 Business Day

Ready to Ship an AI Chatbot that Earns Its Cost Per Conversation?

Send a brief. A senior AI engineer reads it personally and replies within one business day with a free discovery and architecture review. No sales call, no pitch deck.

  • Reply within 1 business day
  • Free discovery and UX audit
  • Mutual NDA in 24 hours
Free 30-minute consultation

Talk to senior developers, not salespeople.

Share your scope. A senior developer reviews it, walks you through the trade-offs, and sends a written summary after the call. NDA before any details are discussed.

  • Written estimate within 5 business days
  • Senior developer on the first call
  • Code stays in your repository
  • ISO 9001 certified shop
4.9 / 5from 2,495 reviews
350+ builds shipped

Talk to Senior Developers

Available

30 minute call. Written summary after. No pitch deck.

NDA signed before any project details are shared