Build an AI Chatbot That Knows Your Business
Generic chatbots give generic answers. We build custom AI chatbots trained on your data — your products, policies, and processes — so every conversation feels like it came from your best team member.
- ✓ 100% IP ownership
- ✓ Trained on your data
- ✓ Free scoping call
Get a free estimate
We'll respond within 24 hours — no spam.
8+
Chatbot types we build
4–16
Weeks to delivery
100%
IP & code ownership
$15K
Starting price
Trusted by 200+ Global Brands
Is a custom AI chatbot right for you?
When You Need a Custom AI Chatbot
Generic chatbots give generic answers. If your customers or team need accurate, context-aware responses based on your actual business data, you need a chatbot built and trained for you.
Generic chatbots can't answer questions about your business
- Off-the-shelf bots don't know your products, pricing, policies, or processes — so they frustrate users instead of helping them
- A custom AI chatbot is trained on your own data and responds with accurate, context-aware answers every time
Your support team spends hours on repetitive questions
- If 60% of incoming queries are variations of the same questions, you're wasting expensive human time on low-value work
- An AI chatbot handles the repetitive load automatically — your team focuses on complex cases that actually need a person
You need an internal knowledge assistant for your team
- Staff waste time searching docs, Notion pages, and Slack threads for information that should be instantly accessible
- An internal AI assistant indexes your knowledge base and gives instant, cited answers to team questions
You want to qualify and convert leads around the clock
- Your sales team can't respond to every inbound lead instantly — and slow response times kill conversion
- An AI chatbot qualifies visitors, answers product questions, and books discovery calls while your team sleeps
You need chatbot + voice across multiple channels
- Customers reach you on your website, WhatsApp, Facebook, and by phone — expecting the same quality of service everywhere
- We build omnichannel AI assistants that maintain context across web, mobile, and messaging platforms
Your data must stay on your infrastructure
- Healthcare, finance, and legal businesses can't send sensitive data to third-party LLM APIs without compliance risk
- We build private, self-hosted AI chatbots using open-source models that keep your data entirely on your own servers
Modular architecture
AI Chatbot Modules We Build
Start with a focused use case and expand to omnichannel, voice, and deep integrations as your confidence in the technology grows.
LLM-powered conversation engine with intent detection, context retention across turns, fallback handling, and configurable tone — built on GPT-4o, Claude, Gemini, or a self-hosted open-source model depending on your data privacy requirements.
Retrieval-Augmented Generation pipeline that ingests your documents, PDFs, help articles, product catalogues, and internal wikis — so the chatbot cites your actual content instead of hallucinating. Continuous sync keeps answers current as your docs change.
Deploy your chatbot across your website, mobile app, WhatsApp Business, Facebook Messenger, Slack, Microsoft Teams, and SMS — all running from a single bot logic layer with unified conversation history.
Configurable escalation triggers — sentiment detection, topic complexity, or explicit user request — route conversations to a live agent with full context preserved. Agents see the entire chat history and any data the bot collected.
Conversation analytics dashboard — resolution rate, fallback frequency, top unhandled intents, CSAT scores, and conversation funnel visualisation. Use real conversation data to continuously improve bot accuracy.
Live lookups and write-backs to your CRM, helpdesk, booking system, or ERP — the chatbot can check order status, raise tickets, book appointments, update contact records, and trigger workflows without leaving the conversation.
Conversational AI Engine
LLM-powered conversation engine with intent detection, context retention across turns, fallback handling, and configurable tone — built on GPT-4o, Claude, Gemini, or a self-hosted open-source model depending on your data privacy requirements.
How we work
From use case discovery to go-live in 4 phases
Week 1–2
Use Case & Data Discovery
We map the conversations your chatbot needs to handle, the data sources it should draw from, integration points, privacy requirements, and the LLM stack that fits your use case and compliance needs.
Week 3–4
Conversation Design & UX
Conversation flows, fallback handling, escalation triggers, and the chat widget or voice interface designed and validated — before any model training or development begins.
Weeks 5–N
Build, Train & Integrate
RAG pipeline built and tested on your data, bot logic developed, integrations connected. You test real conversations at the end of every sprint and steer the bot's behaviour based on actual interactions.
Final 2 weeks
QA, Safety Testing & Launch
Adversarial testing for hallucinations, out-of-scope queries, and edge cases. Guardrails configured, analytics wired up, then phased rollout — starting with low-risk traffic before full deployment.
The AI stack behind your chatbot
GPT-4o, Claude 3.5, Llama, LangChain, Pinecone, PostgreSQL pgvector, Next.js, and AWS — chosen for accuracy, speed, and the data privacy level your business requires.
React
Next.js
Vue.js
Angular
Node.js
PostgreSQL
AWS
Azure
PostmanInvestment
From a focused single-use chatbot to a full enterprise AI assistant — your call
AI Chatbot Starter
A focused AI chatbot for a single use case — customer FAQ, internal knowledge assistant, or lead qualification — trained on your data and deployed on your website or one channel.
- Single use case scoping
- RAG pipeline on your documents
- Web widget or one channel deployment
- Fallback & escalation handling
- Basic conversation analytics
- GPT-4o or Claude integration
Full AI Chatbot Platform
A multi-use-case chatbot platform with omnichannel deployment, live agent handoff, CRM integrations, and a management dashboard for non-technical teams to update content.
- Everything in Starter
- Omnichannel deployment (web, WhatsApp, Messenger)
- Live agent handoff with context transfer
- CRM, helpdesk & booking integrations
- Admin dashboard for content management
- Advanced analytics & CSAT tracking
- Continuous learning pipeline
Enterprise AI Assistant
A private, self-hosted AI assistant for enterprises with strict data residency requirements — multiple departments, voice support, SSO, and deep ERP/HRMS integration.
- Everything in Full Platform
- Self-hosted LLM on your infrastructure
- Voice AI (phone & IVR integration)
- Multi-department bot management
- SSO & enterprise access controls
- ERP, HRMS & legacy system integration
- Dedicated post-launch AI support
Industries we serve
AI Chatbots for Every Industry
Every industry has different data, compliance needs, and conversation patterns. We build to match.
E-commerce & Retail
Order tracking, product Q&A, and returns — automated.
Healthcare & Clinics
Symptom triage, appointment booking, and patient FAQs.
Financial Services
Account queries, loan eligibility, and compliance-safe advice.
SaaS & Tech Companies
In-app support, onboarding guidance, and feature discovery.
Education & EdTech
Student support, course navigation, and enrolment Q&A.
Real Estate
Property search, viewing scheduling, and buyer qualification.
Ready to Build an AI Chatbot That Actually Knows Your Business?
Tell us your use case, the data you want the bot trained on, and your channel requirements — and we'll scope a custom AI chatbot that gives your users answers worth trusting.
We Also Help With
An AI chatbot works best when it is connected to the rest of your tech stack. Whether you need a CRM to capture lead data from conversations, a booking platform to close appointments in-chat, or a full SaaS product to wrap around your AI, our Nepal-based teams build the complete system.
Custom CRM Development
Connect your chatbot to a CRM so every conversation enriches your customer records automatically.
Booking Platform Development
Let your chatbot book appointments directly — no context switch, no drop-off.
Custom LMS Development
Build an AI learning assistant that guides learners through courses and answers curriculum questions.
MVP Development
Validate your AI product idea fast with a focused, investor-ready MVP.
Dedicated Development Team
A long-term Nepal-based AI engineering team embedded in your workflow.
SaaS Development
Embed your AI chatbot into a fully productised, multi-tenant SaaS platform.
Ready to build?
Let's scope your AI chatbot and get you a fixed estimate
Share your use case, the data sources you want the bot trained on, and your channel requirements — we'll come back with an architecture recommendation, timeline, and cost range.
- ✓ Free scoping call included
- ✓ Fixed-price estimate available
- ✓ NDA on request before any discussion
Get your AI chatbot estimate
Frequently Asked Questions
A focused single-use-case chatbot — customer FAQ, internal knowledge base, or lead qualifier — begins from $15,000. A full omnichannel platform with live handoff, CRM integrations, and an admin dashboard ranges from $30,000 to $70,000. Enterprise self-hosted assistants start above $70,000. We provide a fixed-price estimate after a free scoping call.
A starter chatbot for a single use case takes 4–8 weeks. A full platform with omnichannel deployment and integrations takes 8–14 weeks. Enterprise self-hosted systems take 12–16 weeks. Timelines depend on the volume of data to process, the number of integrations, and how quickly you can provide training content.
We build model-agnostic architectures so you're not locked in. We work with OpenAI GPT-4o, Anthropic Claude, Google Gemini, and open-source models like Llama and Mistral. The right model depends on your use case, cost targets, and data privacy requirements — we recommend the best fit during scoping.
Yes. We build Retrieval-Augmented Generation (RAG) pipelines that ingest your PDFs, help articles, product catalogues, SOPs, and internal wikis. The chatbot retrieves relevant chunks and cites your actual content — it doesn't hallucinate answers from general training data.
Yes. For strict data residency requirements, we build self-hosted solutions using open-source LLMs (Llama, Mistral, Qwen) deployed on your own cloud infrastructure. Your data never leaves your servers. This is particularly important for healthcare, legal, and financial services clients.
Yes. We build configurable escalation rules — the bot can detect frustration, complexity, or an explicit "speak to a person" request and seamlessly transfer the conversation to a live agent with the full chat history intact. Agents see everything the bot collected so the customer doesn't have to repeat themselves.
Yes. We regularly integrate AI chatbots with Salesforce, HubSpot, Zendesk, Intercom, custom CRMs, booking platforms, and ERPs. The chatbot can look up order status, raise tickets, book appointments, update contact records, and trigger backend workflows mid-conversation.
Always. We sign a mutual NDA before any discovery call or proposal discussion. Your business processes, data, and AI use case details are treated with complete confidentiality.
Connect with us and let's build something together
We'd love to hear from you! Whether you have questions, need support, or want to discuss a new project, our team is ready to assist. Fill out the form below, and we’ll get back to you as soon as possible.
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Our friendly team is here to help
+97715900970
What will you get?
- Client Oriented
- Driven
- Secured
- Solving
- Competent
- Transparent
What next?
- We will contact you at your convenience
- We do discovery and deep discussion on your problems
- We prepare a proposal
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