AI Chatbot Development
Chatbots your customers trust. Grounded, cited, safe.
The gap between a chatbot demo and a chatbot you'd put in front of paying customers is enormous. Grounding, guardrails, evals, handoff, analytics: we build the whole gap.
What we build
Customer support assistants
Retrieval-grounded bots that answer from your docs and policies, cite their sources, and escalate to your team with full conversation context when confidence drops.
Sales & lead-qualification bots
Assistants that answer product questions, qualify visitors and book meetings. The one on this site is ours. Try it.
Internal knowledge assistants
Chat over your wikis, tickets and drives with source-level permissions respected. People only get answers from documents they're allowed to read.
Voice & multilingual assistants
Speech in and out, and answers in your customers' languages, including Indian languages, with the same grounding and guardrails as text.
What separates our chatbots from the graveyard of bad ones
Grounded, with receipts
Every factual answer is retrieval-grounded in your content and cited. When the bot doesn't know, it says so and routes to a human. Hallucinated policy answers are how chatbots end up in the news.
Evals on your real questions
We build a test set from your actual customer queries before we tune anything. Accuracy, groundedness and tone are measured on every change, not assessed by whoever happens to try it that day.
Brand-safe by construction
Tone controls, topic boundaries, competitor-question policies, jailbreak resistance. The bot represents your brand; it should be as trained as your best support rep.
Analytics that close the loop
Deflection, resolution, handoff rate, unanswered-question mining. The transcript stream is a product-feedback goldmine. We make it legible.
Where a well-built chatbot pays for itself
- 24/7 tier-1 support that resolves instead of frustrates
- Pre-sales product Q&A that captures and qualifies leads
- Onboarding and how-to guidance inside your product
- HR and IT helpdesk for employees
- Order status, returns and account actions with secure tool calls
FAQ
Questions we hear a lot
What does AI chatbot development cost?
Industry benchmarks in 2026 put LLM-powered chatbots at roughly 8 to 25 lakh rupees in India, while US and UK agencies quote 15,000 to 80,000 dollars for equivalent scope. Our pricing lands well under typical US rates because our senior engineering is India-based. Exact cost depends on integrations, channels and compliance needs, so we quote a fixed price after a short discovery call. If a simpler off-the-shelf tool would serve you better, we'll say so.
How is this different from just using ChatGPT?
ChatGPT doesn't know your products, policies or customers, and you can't control what it says. A custom chatbot is grounded in your content with citations, enforces your brand and compliance rules, connects to your systems to actually do things, and hands off to your team when it should.
Can the chatbot integrate with WhatsApp and our CRM?
Yes. Web widgets, WhatsApp Business API, Slack, and CRM or helpdesk integrations such as HubSpot, Salesforce, Zendesk and Freshdesk are standard. Conversations, leads and handoffs land where your team already works.
How do you prevent the bot from making things up?
Retrieval-augmented generation over your verified content, confidence thresholds, mandatory citations, and eval suites that measure groundedness on your real question distribution. Plus an explicit path from 'I don't know' to a human, which most vendors skip because it makes demos less impressive.
What happens to our data and our customers' conversations?
Your content and transcripts stay in your infrastructure or your cloud accounts wherever possible. Model providers are chosen to match your data-residency and privacy requirements, including deployments where no customer data leaves your environment.
How long until we're live?
A grounded web chatbot on your content typically reaches a production pilot in 3 to 6 weeks. Integrations, extra channels and compliance review add time as needed. We ship a working version early and iterate on real conversations.
From our writing
Custom AI Chatbot vs Off-the-Shelf: An Honest Build-vs-Buy Framework
Should you buy a chatbot platform or build a custom one? A four-question framework from engineers who do both, including the cases where buying is obviously right.
AI Chatbot Development Cost in India (2026): Honest Numbers
A plain breakdown of AI chatbot development cost in India for 2026: rule-based bots, WhatsApp integrations, production LLM builds, and enterprise pricing.
RAG Chatbot Explained: Grounding AI in Your Company Knowledge
A plain-English guide to how a RAG chatbot retrieves and grounds answers, why enterprises need it over fine-tuning, and what production RAG really requires.
AI Agent vs Chatbot: Which One Does Your Business Actually Need?
AI agent vs chatbot, explained as a practical buying decision: what each one actually does, where the real line sits, and how to pick without overspending.
Ready when you are.
Tell us what you're working on. You'll get an honest read on feasibility, timeline and cost.