RAG Systems & AI Bot Development Company

We build intelligent chatbots and RAG-powered assistants that give accurate, 24/7 answers grounded in your own data – not guesses from a general model.

Rag powered AI Chatbots

WHAT WE BUILD

Services We Offer

Practical AI chatbot and RAG solutions designed around your data, workflows, and customer needs.

RAG-Powered Assistants

Bots that pull verified answers from your documents and policies in real time, so responses are traceable back to a real source instead of invented on the fly.

Customer Support Bots

Automate first-line query resolution and hand off complex cases to a human agent with full conversation context attached, not a cold transfer.

Internal Knowledge Bots

let staff query SOPs, HR policy, and technical documentation conversationally instead of digging through shared drives.

Citizen & Public Service Bots

A category we’ve delivered at national scale: AI assistants answering citizen questions about government e-services instantly, in the local language.

Multi-Channel Deployment

The same bot logic deployed consistently across your website, mobile app, and messaging channels.

CRM & System Integration

Chatbot conversations that flow directly into the tools your team already runs, instead of living in an isolated widget.

Our Work

Some of our recent projetcs

Explore some of our latest projects and the solutions we’ve built for real-world challenges.

5 Ministry Chatbots

Distinct AI-powered conversational engines deployed across five government ministries, automating citizen query response and cutting resolution time from days to seconds.

Robishop

Nascenia engineered a high-performance, app-like storefront for Robi Axiata, optimized for fluid operation across varied network conditions and seamlessly integrated with backend inventory, finance, and logistics infrastructure.

OUR PROCESS

How we build your ai chatbot

From requirements and knowledge preparation to testing and deployment, we build every chatbot around your real data and workflows.

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    Requirement Mapping

We define exactly what the bot needs to handle and pull an inventory of every knowledge source and system it will touch.

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    Knowledge Base Preparation

Documents and structured data are cleaned, chunked, and indexed for accurate retrieval – the unglamorous step that decides whether the bot actually works.

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    Conversation & Escalation Design

We map the dialogue itself: tone, multilingual paths, and exactly when the bot should stop and hand off to a person.

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    Development

The retrieval pipeline and chatbot application are built against your real systems and real data, not a generic starter template.

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    Accuracy Testing

Before launch, we run real user scenarios and edge cases specifically to find where the bot gets it wrong, not just where it demos well.

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    Launch & Continuous Improvement

We deploy with monitoring in place and keep refining based on actual usage patterns after go-live.

Not sure if you need a chatbot, a RAG system, or something else entirely? 

Tell us your use case – we’ll tell you honestly what fits, and what it’ll actually take to build.