AI chatbots that actually answer correctly.
Custom AI chatbots on OpenAI GPT-4o and Anthropic Claude 4 — trained on your data, grounded in retrieval, deployed to web, WhatsApp, Slack, and Teams.
Lead capture, customer support, internal employee assistants. 60%+ ticket deflection, citation-grade accuracy, integrated with your CRM and helpdesk.
Six chatbot categories we ship every quarter
From front-line lead capture to deep internal knowledge agents — we build chatbots that move real metrics.
Customer Support Chatbots
24/7 AI agents that answer product questions, troubleshoot issues, and hand off complex cases to a human with full conversation context.
Lead Generation & Sales Chatbots
Conversational lead capture that qualifies, scores, and routes to sales — replacing static forms with a far higher conversion rate.
RAG Knowledge Assistants
Chatbots grounded in your documents, policies, and product data — accurate, cite-able, and updated automatically as your content changes.
Internal Employee Chatbots
AI assistants for HR, IT, ops, and finance teams — onboarding, leave requests, expense lookup, SOP search — embedded in Slack or Teams.
Industry-Specific Chatbots
Pre-trained verticals — healthcare triage, legal contract Q&A, real-estate listing search, education tutoring, BFSI policy lookup.
Multi-channel Deployment
Build once, deploy everywhere — your chatbot shows up on web, WhatsApp, Telegram, Slack, Teams, iOS, and Android with a single backend.
The chatbot stack we build on
LLMs
Frameworks
Vector DBs
Front-end
Channels
Backend
Observability
Integrations
Work with us the way that fits your business
Pilot Build
Fixed-scope MVP delivered in 3–4 weeks. Best for proving ROI on a single workflow.
- 1 chatbot use-case
- 1 channel (web or WhatsApp)
- RAG over 1 data source
- Basic analytics
- 30-day post-launch support
Production Rollout
Full chatbot platform — multi-channel, RAG over multiple sources, CRM integration, analytics, ongoing improvement.
- Multi-channel deployment
- RAG over multiple sources
- CRM + helpdesk integration
- Admin & analytics dashboard
- 3-month optimisation included
Managed AI Bot
Full-service retainer — we run, monitor, tune, and upgrade your chatbot. You see the leads/tickets, we run the AI.
- Monthly prompt tuning
- Model upgrades (OpenAI/Anthropic releases)
- Cost optimisation
- Quarterly business review
- SLA-backed support
From discovery to live chatbot in six weeks
Discovery & Knowledge Audit
Week 1We map your support volume, top-10 conversation flows, knowledge sources, and integration points. Output: a fixed-scope build plan.
Knowledge Pipeline & Prompts
Week 2Ingest your data into a vector DB, build the retrieval pipeline, draft system prompts, and run accuracy evals against gold-standard answers.
Chatbot Build
Weeks 2–4Production build — UI widget or channel deployment, conversation memory, handoff logic, CRM/helpdesk integration, admin panel.
Pilot & Tune
Week 5Soft launch with internal users + 5–10% of real traffic. We measure deflection, CSAT, and accuracy and tune prompts and retrieval.
Launch & Operate
Week 6 onwardsFull launch with monitoring (LangSmith/Langfuse), monthly tuning, model upgrades, and quarterly business reviews tied to deflection and revenue KPIs.
Why teams choose us for AI chatbot development
RAG done right
Hybrid retrieval, re-ranking, citation, permission-awareness. Your chatbot doesn't hallucinate — it cites sources.
Cost-engineered
Caching, model routing (GPT-4o-mini for easy, GPT-4o for hard), and prompt compression. We reduce token spend 40–60% post-launch.
Multi-channel by default
Build once on our framework — same brain answers in web widget, WhatsApp, Slack, and voice channel without duplicating logic.
Production-grade
Auth, logging, observability, prompt versioning, A/B testing, cost guardrails, human-handoff fallback. Not a demo.
Integrated with your stack
Zendesk, Intercom, Freshdesk, HubSpot, Salesforce, Odoo, Zoho — we plug into the CRM and helpdesk you already use.
Owned by you
Source in your GitHub, infra in your cloud, prompts in version control. Zero proprietary lock-in beyond the model API.
Chatbots for every industry
Frequently asked questions
How long does it take to build an AI chatbot?
A focused pilot (1 chatbot, 1 channel, RAG on 1 knowledge source) ships in 3–4 weeks. A full production rollout with multi-channel deployment, CRM integration, and analytics typically takes 5–7 weeks end-to-end.
Which AI model do you use — GPT-4o, Claude, Gemini, or open-source?
We're model-agnostic and choose the best for each use case based on accuracy, latency, and cost. Often we route: easy questions to GPT-4o-mini / Claude Haiku, complex reasoning to GPT-4o / Claude 4. For private/regulated data we use Azure OpenAI, AWS Bedrock, or Vertex AI.
How accurate is the chatbot?
We measure accuracy formally — typical RAG chatbots reach 85–95% answer correctness on real customer questions after our tuning phase, with citation links so the user can verify. We commit to an accuracy floor in the SOW.
How do you prevent hallucination?
Retrieval-grounded answers (RAG), citation-required system prompts, structured output where applicable, automated fact-check passes for high-stakes flows, and a low-confidence fallback that hands off to a human instead of guessing.
Can you integrate the chatbot with our existing CRM and helpdesk?
Yes. We routinely integrate with HubSpot, Salesforce, Zoho CRM, Odoo CRM, Pipedrive, Zendesk, Intercom, Freshdesk, and custom systems. The chatbot creates tickets, logs conversations, and updates lead records automatically.
What does it cost?
Pilot chatbots typically land between ₹1.5L–₹4L ($1.8K–$5K) setup plus ₹15K–₹50K/month ($200–$600) covering hosting, monitoring, and tuning. Full production rollouts with multi-channel deployment and CRM integration range from ₹4L–₹15L ($5K–$18K).
Can the chatbot speak multiple languages?
Yes. GPT-4o and Claude 4 natively support 95+ languages with strong quality. We localise the knowledge base, prompts, and UI for the languages your customers actually use, with per-language accuracy tracking.
Do you offer a managed / SLA-backed support plan?
Yes — our Managed AI Bot retainer covers monthly prompt tuning, model upgrades (every time OpenAI or Anthropic ships a new model), cost optimisation, observability, and a quarterly business review. SLA-backed response times for incidents.
Ready to launch an AI chatbot that actually works?
Book a free 30-minute chatbot audit. We'll map the highest-ROI use case for your business and send a fixed-price proposal within 48 hours.