NVIDIA Inception Program Member | Enterprise Private AI Infrastructure

CASE STUDY // ARTIFICIAL INTELLIGENCE & CONVERSATIONAL ORCHESTRATION

EvaChat – AI Assistant

AI-Powered Multi-Model Conversational Platform for Intelligent Enterprise Communication

EvaChat platform view
EvaChat platform view
EvaChat platform view
EvaChat platform view
EvaChat platform view

VALIDATED BY //

NVIDIA Inception

AI Validation

Microsoft for Startups

Cloud Partner

AWS Partner Network

Infrastructure

Adobe Certified

Experience Partner

Livemint 40 Under 40

Leadership

OVERVIEW

Overview

EvaChat is an enterprise-grade conversational AI platform developed by Kraftors to help organizations deliver intelligent, real-time, and human-like interactions.

The platform combines multiple leading Large Language Models (LLMs)—including GPT, Gemini, and Claude—into a unified AI ecosystem, enabling businesses to build smarter customer support, internal assistants, and knowledge management solutions.

Built with a cloud-native architecture, EvaChat delivers real-time response streaming, voice-enabled conversations, intelligent model selection, and enterprise-grade scalability, ensuring fast, reliable, and secure AI experiences across devices.

CAPABILITIES

Services Provided

AI Development
AI Agent Development
Custom Software Development
Web Development
UX/UI Design
Cloud Infrastructure Development

The Challenge

Building a Multi-Model Conversational Platform

The client required an enterprise AI assistant capable of delivering fast, reliable, and context-aware conversations while leveraging multiple AI models within a single platform.

The key challenges included:

1
Integrating GPT, Gemini, and Claude into one conversational platform
2
Maintaining low latency during high concurrent usage
3
Supporting real-time response streaming
4
Enabling voice-based AI interactions
5
Optimizing AI performance while reducing operational costs
6
Building a scalable cloud-native infrastructure
7
Providing centralized analytics and system monitoring
8
Delivering a seamless experience across desktop and mobile devices

OUR SOLUTION

Intelligent Orchestration Engine

Multi-Model Routing

Kraftors designed and developed EvaChat as a cloud-native conversational AI platform powered by an intelligent orchestration engine.

Intelligent Load-Balancing

Instead of relying on a single AI model, the platform intelligently routes requests to GPT, Gemini, or Claude based on predefined business logic and performance requirements to receive faster, more accurate, and more reliable responses.

Voice & Real-Time Streaming

The solution includes voice interaction capabilities, real-time response streaming, secure communication, and a centralized analytics dashboard that provides administrators with complete visibility into platform performance and AI usage.

Key Features

Conversational Engine

  • Multi-Model AI Integration
  • Intelligent AI Model Routing
  • Voice-Enabled AI Assistant
  • Real-Time Response Streaming

Performance & Security

  • Smart Load Balancing
  • AI Performance Optimization
  • Secure Communication Framework

Administration & Scale

  • Admin & Analytics Dashboard
  • Cross-Platform Responsive Interface
  • Cloud-Native Deployment

SYSTEM ARCHITECTURE

Technology Stack

LayerTechnologies
FrontendNext.js, Tailwind CSS
BackendPython
AI & Machine LearningGPT, Gemini, Claude, Machine Learning
Cloud & InfrastructureGoogle Cloud Platform (GCP), Redis, WebSockets

WORKFLOW

Development Process

01

Discovery & Planning

We analyzed business requirements, user journeys, and AI workflows to design a scalable conversational architecture.

02

AI Integration

Integrated multiple LLMs through an intelligent routing engine capable of dynamically selecting the most suitable model.

03

Platform Development

Developed a responsive conversational interface with real-time streaming, voice interaction, authentication, and analytics.

04

Performance Optimization

Implemented Redis caching, WebSockets, load balancing, and cloud optimization to reduce latency and improve scalability.

05

Deployment

Deployed the platform on Google Cloud Platform with monitoring, logging, and centralized administration.

RESULTS & IMPACT

Business Impact & Key Outcomes

EvaChat successfully transformed enterprise communication by providing a highly scalable AI assistant capable of delivering intelligent conversations with exceptional speed and reliability.

Unified access to multiple enterprise AI models
Faster AI response times with real-time streaming
Improved user accessibility through voice interactions
Reduced latency using optimized cloud infrastructure
High scalability for enterprise workloads
Centralized monitoring and performance analytics
Future-ready architecture for integrating emerging AI technologies

Why EvaChat?

EvaChat empowers organizations to leverage the strengths of multiple leading AI models through a single intelligent platform.

By combining conversational AI, voice interaction, cloud-native scalability, and enterprise-grade security, the solution enables businesses to automate communication, improve customer experiences, and accelerate AI adoption without vendor lock-in.

Secure your Strategic AI Future.
With a Leading AI Consulting Company

Choose sovereignty over infrastructure dependency. Partner with Kraftors for generative AI, agentic AI, and secure on-premise AI deployment built for long-term control and ownership.