Custom AI Chatbot Development

Deploy intelligent, context-aware AI chatbots trained on your enterprise data to handle customer support, sales qualification, and internal knowledge retrieval 24/7.

Enterprise SLA & Security
99.9% Uptime Guarantee

Service Overview

PelQora Technologies designs and engineers conversational AI agents powered by modern Large Language Models and Retrieval-Augmented Generation (RAG). Our bots provide accurate, factual, and instant responses based exclusively on your company's knowledge base.

What We Build in AI Chatbots

Custom engineered solutions designed for maximum performance, security, and measurable growth.

RAG Knowledge Base Bots

Chatbots connected to your company documentation, PDFs, Notion pages, and databases for instant factual answering.

24/7 Customer Support Agents

Automated support bots that solve client inquiries, process returns, check order statuses, and escalate to human agents when required.

Sales Lead Qualification Bots

Interactive website bots that qualify leads, collect contact details, and book sales discovery calls directly onto your calendar.

Internal Employee AI Copilots

Internal assistants that answer company policy questions, help onboard new hires, and query internal SQL databases.

Multi-Channel AI Bots

Deploy a unified chatbot identity across Web, Slack, Microsoft Teams, WhatsApp, and Telegram.

Multilingual AI Assistants

Fluid conversational bots capable of communicating accurately in 50+ languages to serve global audiences.

Modern Stack

Technologies & Ecosystem

We leverage battle-tested, high-performance modern tools to build reliable systems.

LLM FoundationOpenAI GPT / Claude
Vector StorePinecone / Qdrant
RAG FrameworkLangChain / LlamaIndex
Web InterfaceNext.js / React
Bot EngineFastAPI / Python
Frequently Asked Questions

Got Questions About AI Chatbots?

We use Retrieval-Augmented Generation (RAG), carefully designed system instructions, and appropriate guardrails to keep responses grounded in your approved knowledge sources. The chatbot can also be configured to acknowledge when it does not have enough information to answer reliably.