AI Engineering Studio

We Build AI Systems That
Answer, Automate & Analyze
for Your Business — 24/7

From WhatsApp AI receptionists to customer support automation and analytics copilots — we design, build, and deploy production AI systems. Fixed price. You own the code.

Live in Weeks, Not Months
Fixed-Price — No Surprises
100% Code Ownership
What We Build

AI Services & Systems We Build

AI agent development, automation, AI receptionist, and intelligent systems that connect AI reasoning with real business data — engineered by Eligent AI.

WhatsApp AI Receptionist

A 24/7 AI receptionist on WhatsApp that answers every inquiry instantly, books appointments into your calendar, qualifies leads, and hands off to your team when needed. Built for clinics, salons, real estate, and local businesses.

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AI Customer Support Automation

Intelligent support systems that understand customer inquiries, retrieve relevant knowledge, and generate accurate responses — resolving routine tickets automatically and escalating to humans only when needed.

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AI Analytics Dashboards

Interactive analytics systems where users query business data using natural language. The AI automatically generates SQL, visualizes results, and surfaces insights.

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AI Knowledge Assistants

RAG-powered systems that let teams search and retrieve information from company documents, wikis, and internal knowledge bases through natural conversation.

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AI Business Process Automation

End-to-end workflow automation and AI process automation that connects AI reasoning with your business data, triggering actions, generating reports, and surfacing anomalies automatically.

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Custom AI Agents

Purpose-built AI agents with tool-use capabilities — able to query databases, call APIs, analyze documents, and execute multi-step reasoning tasks autonomously for your business.

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Our Work

AI Agents & Production Systems

End-to-end AI services built by Eligent AI — AI front desk, support agents, analytics, and automation. Try the live demos yourself.

Flagship BuildProductionAI Receptionist for Clinics & Hospitals

AI Front Desk

Live Demo

A multi-tenant AI front desk that answers patients 24/7 from the clinic's own knowledge base — no made-up answers — and books appointments against real doctor schedules right inside the chat. Staff get instant Telegram alerts and confirm with one tap; patients receive automatic email confirmations. One line of code installs it on any website — three live clinics run on it today.

24/7 patient chat, grounded in clinic docs
In-chat booking with real time slots
Instant staff alerts on Telegram
One-tap confirm staff dashboard

Tech Stack

PythonFastAPILangGraphRAGOpenAI APIPostgreSQLNext.jsTelegram API
AI Front Desk — AI Receptionist for Clinics & Hospitals

Open Live Demo to try the chat on this device

ProductionAI Customer Support Platform

EligentAI Support

Live Demo

Multi-tenant AI customer support platform that resolves queries end-to-end. A LangGraph-powered agent answers from your knowledge base, scores its own confidence in real time, and escalates to a human only when needed — with analytics and CSAT tracking built in.

LangGraph multi-step AI agent
Real-time confidence scoring
Smart human escalation
Analytics & CSAT tracking

Tech Stack

PythonLangGraphOpenAI APIFastAPINext.jsPostgreSQLRAG
EligentAI Support — AI Customer Support Platform
ProductionBusiness Intelligence AI

AI Analyst

Live Demo

AI-powered business analytics system that allows users to ask questions about business data in natural language. The system automatically generates SQL queries, retrieves data, creates charts, and provides AI-driven insights.

Natural language → SQL queries
Automated business insights
Interactive charts & dashboards
Business analytics reporting

Tech Stack

PythonLangChainOpenAI APIPostgreSQLNeon DBPlotlyStreamlit
AI Analyst — Business Intelligence AI
ProductionInternal Knowledge Assistant

IntelOps AI

Live Demo

AI internal company assistant designed to help teams retrieve knowledge, analyze data and generate reports. The system uses RAG architecture and SQL agents to access company knowledge and structured data.

Knowledge retrieval from documents
Business analytics queries
Role-based access system
AI-generated reports

Tech Stack

PythonLangChainOpenAI APIPostgreSQLNeon DBRAG ArchitectureStreamlit
IntelOps AI — Internal Knowledge Assistant
Flagship SolutionLaunching soon · Early-access slots open

Your 24/7 AI Receptionist on WhatsApp

Your customers already message you on WhatsApp — but nobody can reply around the clock. Your AI receptionist answers in seconds, books appointments, qualifies leads, and hands over to your team only when it matters.

Replies in seconds, 24/7

Every inquiry answered instantly — nights, weekends, and holidays included.

Books appointments automatically

Checks availability and confirms bookings directly into your calendar.

Speaks your customer's language

English, Hindi, Spanish, French — the AI adapts to each customer automatically.

Qualifies leads before you talk

Collects name, need, and budget so your team only handles serious inquiries.

Human handoff when it matters

Complex or sensitive conversations are routed to your staff instantly.

Built for

Clinics & HospitalsSalons & SpasReal EstateHotels & TravelLocal ServicesE-commerce
Request a WhatsApp Demo

City Care Clinic

online

AI

Hi! Do you have any appointment slots tomorrow morning?

9:02 PM

Good morning! 😊 Yes — Dr. Mehra has openings tomorrow at 9:30 AM and 11:00 AM. Which works better for you?

9:02 PM

11 AM please. Do you also accept insurance?

9:03 PM

Done — you're booked for tomorrow at 11:00 AM ✅ And yes, we accept all major insurance providers. Your confirmation is on its way!

9:03 PM

AI Receptionist · replies in ~2 seconds

Deep Dives

How Our AI Systems Work

From problem to architecture — a look inside what we build and how.

EligentAI Support— AI Customer Support Platform

Problem

Support teams drown in repetitive questions. Customers wait hours for answers, agents burn out, and scaling support traditionally means hiring more people.

Solution

A multi-tenant AI support platform. A LangGraph agent understands each query, answers from the company knowledge base, and self-scores its confidence — auto-resolving routine tickets and escalating edge cases to humans.

Architecture

LangGraph state machine orchestrating intent routing, RAG retrieval, response generation, and confidence scoring. FastAPI backend with JWT auth and role-based multi-tenant workspaces. Next.js dashboard with live analytics and CSAT tracking.

Tech Stack

Python · LangGraph · OpenAI API · FastAPI · Next.js · PostgreSQL · RAG

Outcome

Designed so routine queries get resolved in seconds, 24/7, while humans handle only the conversations that truly need them — support scales without new headcount, with deflection and CSAT metrics visible in real time.

System Architecture
💬

Customer Query

Any time, any language

🕸

LangGraph Agent

Intent + reasoning

📚

RAG Retrieval

Knowledge base answers

🎯

Confidence Score

Self-evaluation

🙋

Human Handoff

Only when needed

📊

Analytics & CSAT

Quality tracking

Architecture overview · Detailed diagram in project documentation

AI Analyst— Business Intelligence

Problem

Business analysts spent hours writing SQL queries and building charts manually. Non-technical stakeholders couldn't access data insights without developer support, creating bottlenecks in decision-making.

Solution

A natural language interface connected to a PostgreSQL analytics database. Users type questions in plain English — the AI generates SQL, runs the query, and returns charts and written insights automatically.

Architecture

LangChain SQL agent with OpenAI GPT-4 for query generation. Streamlit frontend for the chat interface. Plotly for dynamic chart rendering. Neon Database for scalable serverless PostgreSQL.

Tech Stack

Python · LangChain · OpenAI API (GPT-4) · PostgreSQL · Neon Database · Plotly · Streamlit

Outcome

Non-technical teams now query live business data in seconds — no SQL, no analyst dependency. What took 30+ minutes of manual reporting is fully automated, freeing the data team to focus on strategy instead of repetitive requests.

System Architecture
💬

User Query

Natural language input

⛓

LangChain Agent

Intent routing

🗄

SQL Generator

NL → SQL conversion

🐘

Neon PostgreSQL

Data retrieval

📊

Plotly Charts

Visual output

◈

GPT-4o

Insight generation

Architecture overview · Detailed diagram in project documentation

IntelOps AI— Internal Knowledge System

Problem

Company knowledge was scattered across documents, wikis, and databases. Employees lost significant time searching for information and generating reports manually from disparate sources.

Solution

A unified AI assistant combining RAG for unstructured documents and a SQL agent for structured data. Team members ask questions and receive accurate, sourced answers and auto-generated reports.

Architecture

RAG pipeline with vector embeddings for document retrieval. LangChain agents orchestrate between document search and database queries. Role-based permissions control data access per user.

Tech Stack

Python · LangChain · OpenAI API · PostgreSQL · Neon Database · RAG Architecture · Streamlit

Outcome

Instead of switching between tools and documents, teams now interact with a single AI system that understands both knowledge and data - turning scattered information into an accessible, reliable decision layer.

System Architecture
💬

User Query

Role-based input

🤖

Router Agent

Intent classification

📚

RAG Agent

ChromaDB retrieval

🗄

SQL Agent

PostgreSQL analytics

📋

Report Agent

PDF generation

◈

GPT-4o

Final response

Architecture overview · Detailed diagram in project documentation

Our Stack

Technologies We Use

A focused stack of proven technologies — from rapid prototypes to custom production frontends and enterprise AI backends.

🐍

Language

Python

Core language for all AI system development

⛓

Framework

LangChain

AI agent orchestration and chain management

🕸

Framework

LangGraph

Stateful multi-agent workflows and graph execution

◈

AI Model

OpenAI API

GPT-4o models for reasoning and generation

🧠

AI Model

Anthropic Claude

Claude models for advanced reasoning and analysis

🐘

Database

PostgreSQL

Structured data storage and SQL analytics

⚡

Database

Neon Database

Serverless PostgreSQL with branching and scaling

🔍

Vector DB

ChromaDB

Vector database for semantic search and RAG

📚

Architecture

RAG Systems

Retrieval-augmented generation for knowledge bases

🤖

Architecture

AI Agents

Autonomous multi-step AI reasoning systems

🚀

Backend

FastAPI

High-performance async backend for AI APIs

⚛

Frontend

React + Next.js

Custom production-grade web interfaces

▶

Prototyping

Streamlit

Rapid AI prototype and demo deployment

📊

Visualization

Plotly

Interactive data visualizations and charts

Our Process

How We Build AI Systems

A structured, collaborative process from discovery to production deployment.

01

Problem Discovery

We start by understanding your business processes, data sources, and where AI can have the most meaningful impact. No generic pitches — just a focused analysis of your actual needs.

02

System Architecture Design

We design the AI architecture before writing a single line of code. This includes agent design, data flow, RAG pipeline structure, database schema, and integration points.

03

AI Development

Building the AI core — LangChain agents, RAG pipelines, SQL tools, and LLM integrations. Every component is built for reliability, with proper error handling and prompt engineering.

04

Integration with Business Data

Connecting the AI system to your actual data sources — databases, documents, APIs. We set up vector stores, SQL connectors, and access controls so the AI works with real information.

05

Deployment

Deploying the system to production with monitoring, documentation, and handoff. We ensure the system is stable, performant, and maintainable before considering the project complete.

Who We Are

About Eligent AI

Eligent AI is a specialized AI engineering studio focused on AI services for modern businesses — from AI receptionist systems to full automation stacks.

We specialize in AI agents, AI automation, AI receptionist & WhatsApp AI and RAG systems & knowledge assistants.

Our mission is to help companies turn data and knowledge into production AI systems — practical AI agents and automation that answer customers, book appointments, and run workflows reliably.

SK

Shadab Khan

Founder & AI Engineer

Every AI service project is architected, built, and shipped by the founder directly — one point of contact, full accountability, no handoffs.

Connect on LinkedIn

Focused Execution

We work on a small number of AI projects at a time to deliver focused, high-quality engineering — not rushed deliverables.

Engineering First

Every AI agent and automation system starts with rigorous architecture. Robust foundations produce reliable AI services in production.

AI That Works

Our goal is systems that actually run in production. We build AI receptionist, support, and agent systems for reliability — not just demos.

FAQ

Frequently Asked Questions

Everything you need to know before starting a project with us.

Yes — it's our flagship solution. Your AI receptionist answers on WhatsApp 24/7: it greets patients or customers, answers common questions, books appointments into your calendar, qualifies leads, and hands over to a human when needed. It works great for clinics, hospitals, salons, real estate agencies, hotels, and any business whose customers live on WhatsApp.

Still have questions?

Book a free 30-minute call — no pressure, just an honest conversation about your project.

Book a Free Call
Get in Touch

Start Building with
Eligent AI

Have a project in mind or want to understand what AI could do for your business? Reach out and we'll get back to you quickly.

Response within 12 hours

We reply fast — usually same day

Free consultation call

Tell us your problem, we will advise honestly

Book a meeting directly

Pick a time that works for you

Now Accepting New Projects

2 project slots open this quarter · Small businesses · Startups · Enterprises

What happens next?

01

We review your project

Within 12 hours of receiving your message

02

We schedule a free call

No obligation — just an honest conversation

03

We send a proposal

Clear scope, timeline & delivery plan

Send us a message

Describe your project and we will get back to you within 12 hours.

We typically respond within 12 hours

Prefer to talk directly?

Book a free 30-min call