AI Chatbots

Conversational AI that actually resolves queries, trained on your product, your tone, and your support history.

Conversational AI LLM Chatbots Live Chat WhatsApp/Web Widgets Multilingual
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Overview

What Our AI Chatbots Team Delivers

A scripted, rule-based bot frustrates users the moment they go off-script. We build LLM-powered chatbots that understand intent, hold context across a conversation, and pull real answers from your knowledge base, product catalog, or account systems, then hand off cleanly to a human when needed.

We've shipped chatbots for player support and KYC queries in iGaming, account and transaction queries in FinTech, and patient FAQs and appointment support in Healthcare. Each one is grounded in your actual content through retrieval-augmented generation, so it does not hallucinate policies, odds, or pricing.

Chatbots are deployed on web, mobile, WhatsApp, or Slack/Teams, with analytics so you can see what users are actually asking and where the bot is falling short.

When this service helps most

  • High support ticket volume with repetitive questions
  • Need for 24/7 first-line response without adding headcount
  • Website or app visitors dropping off due to slow query resolution
  • Regulated industries needing consistent, on-policy answers every time
Key Capabilities
Conversational flow and persona design
RAG-based grounding in your docs, FAQs, and product data
Multi-turn context and memory handling
Live-chat handoff and escalation logic
Multilingual support for English, Hindi, and regional languages
Analytics dashboard for query trends and containment rate
How We Work

Our AI Chatbot Development Process

01
Conversation & Intent Discovery
02
Knowledge Base Preparation
03
Bot Architecture & Persona Design
04
LLM Integration & RAG Setup
05
Channel Deployment
06
Testing & Tuning
07
Monitoring & Continuous Improvement
Tech We Use

Technology Stack

Python
Node.js
LangChain
Anthropic Claude
Python
Node.js
LangChain
Anthropic Claude
OpenAI
Dialogflow
Twilio WhatsApp
Vector DBs
OpenAI
Dialogflow
Twilio WhatsApp
Vector DBs
Flexible Engagements

Choose the Right Delivery Model

We keep engagement models flexible so you can start small, move fast, or scale a dedicated product team when the roadmap grows.

01

Fixed Price

Best For: Well-defined projects

Clear scope, fixed budget, defined milestones. Perfect for MVPs and Phase 1 builds.

Clear milestones & budgets
Defined requirements upfront
Ideal for MVPs and POCs
No surprise invoices
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02

Time & Material

Best For: Evolving requirements

Agile-first approach where you pay for actual hours worked. Maximum flexibility.

Agile-first approach
Pay for actual hours worked
Scale team up or down
Weekly progress reports
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03

Dedicated Team

Best For: Long-term product dev

Fully embedded engineers, daily standups, and CTO-level technical oversight.

Full-time dedicated engineers
Daily standups & demos
CTO-level oversight
Transparent monthly billing
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Common Questions

Frequently Asked Questions

Straight answers about chatbot accuracy, human handoff, language support, and real-world deployment.

We ground every response in your own documents and data using retrieval-augmented generation, so answers are sourced from your content, not the model's general knowledge.
Yes. We build clear handoff logic using confidence thresholds, sensitive-topic triggers, or user requests, so the bot knows exactly when to bring in a human.
Yes, including Hindi and other regional languages, with tone and phrasing adapted per language rather than direct translation.
Ready to Build?

Ready to Deploy a Smarter Chatbot?

Tell us where your users get stuck. We'll show you what an LLM-powered chatbot can resolve on its own.