Build intelligent AI systems that solve real business problems.
Develop custom AI chatbots, RAG applications, AI agents, document assistants and intelligent automation systems using modern AI models and production-ready technology.
AI Solutions
AI development designed around your business.
Instead of adding AI just for the sake of AI, I build systems around a specific business problem, user workflow and measurable outcome.
AI Chatbots
Build intelligent AI chatbots that can answer questions, understand context and help customers or employees 24/7.
RAG Applications
Connect AI models with your own documents, databases and knowledge sources to create accurate business-specific AI systems.
AI Agents
Develop AI agents that can reason through tasks, use tools, call APIs and automate multi-step business workflows.
LLM Integration
Integrate modern language models into your existing website, software, mobile application or internal business systems.
AI Automation
Automate repetitive business tasks using AI-powered workflows, document processing, classification and intelligent decision support.
Document AI
Create AI systems that can search, understand, summarize and extract useful information from business documents.
AI Capabilities
Build AI features that actually work with your application.
From conversational AI to retrieval systems and automated workflows, your application can combine AI with your existing business data and software.
Discuss Your AI Idea →AI Architecture
Connect AI models with your data and applications.
A production AI application often needs more than an AI model. It can combine models, retrieval, APIs, databases, authentication and cloud infrastructure into one complete system.
AI Model
LLMs and AI models generate intelligent responses and perform reasoning tasks.
Retrieval
Search relevant information from documents, databases and knowledge bases.
Data Layer
Store users, documents, embeddings, conversations and application data.
Application
Connect the AI system to your website, mobile app, APIs or business software.
Business Use Cases
What can you build with AI?
AI can become part of your customer experience, internal tools, knowledge management and business automation.
Customer Support AI
Answer customer questions automatically using your business information, FAQs and knowledge base.
Company Knowledge Assistant
Let employees search internal documentation and company knowledge using natural language.
AI Document Assistant
Upload documents and allow users to ask questions, summarize content and find important information.
Business Automation
Use AI to classify information, process requests and automate repetitive business workflows.
Technology Stack
Modern AI technologies for production applications.
Choose the right combination of models, frameworks, databases and infrastructure based on your application's requirements.
Let your AI work with your own knowledge.
Build AI assistants that retrieve information from your documents, databases and knowledge base before generating responses.
Build a RAG Application →USER QUESTION
"What is our refund policy?"
RETRIEVAL
Search relevant company documents and knowledge.
AI RESPONSE
Generate an answer using the retrieved business information.
Development Process
From AI idea to production system.
A structured process helps make sure the AI solution is useful, reliable and aligned with your actual business requirements.
Understand the Problem
We identify your business problem, users, available data and the AI capability required to solve it.
AI Architecture
I select the appropriate model, database, RAG architecture, APIs and infrastructure for your application.
Build the AI System
The AI application, backend, integrations and user interface are developed around your requirements.
Test & Evaluate
The system is evaluated for response quality, accuracy, latency, reliability and common failure cases.
Deploy
The application can be deployed using Docker, Linux, cloud infrastructure and production-ready services.
Improve & Scale
After launch, the AI system can be continuously improved with better prompts, data, models and features.
Starting Price
AI development from ₹30,000+
Final pricing depends on the AI model, application complexity, amount of data, integrations, infrastructure and expected traffic.
Custom AI Application
Suitable for AI assistants, RAG applications, chatbots and business automation.
- ✓ AI model integration
- ✓ Backend API
- ✓ Custom AI workflow
- ✓ Database integration
- ✓ Authentication
- ✓ Deployment support
Frequently Asked Questions
Questions about AI development?
What type of AI applications can you build?+
I can build AI chatbots, RAG applications, document assistants, AI agents, intelligent search systems, LLM-powered applications and AI automation solutions.
What is RAG and can you build a RAG application?+
RAG, or Retrieval-Augmented Generation, allows an AI model to retrieve relevant information from your own data before generating a response. Yes, I can build RAG systems using technologies such as embeddings, vector databases, PostgreSQL with pgvector and other retrieval technologies.
Can you connect AI to my existing website?+
Yes. An AI system can be integrated into an existing website through APIs or directly into the application's backend depending on your architecture.
Can you build an AI chatbot using my company documents?+
Yes. Your documents can be processed and indexed so that users can ask questions about your business information through an AI-powered knowledge assistant.
Can you use open-source AI models?+
Yes. Depending on the project, open-source models can be used alongside hosted model APIs. The appropriate approach depends on accuracy, cost, privacy, latency and infrastructure requirements.
Can you build AI agents?+
Yes. AI agents can be developed to use tools, call APIs, retrieve information, perform actions and execute multi-step workflows.
How much does AI development cost?+
AI development starts from around ₹30,000 for smaller integrations and prototypes. Production RAG systems, agents, custom AI platforms and complex automation projects require a custom quotation.
Can you deploy the AI application?+
Yes. AI applications can be deployed using Docker, Linux, Nginx and cloud infrastructure. Deployment architecture depends on model size, traffic and performance requirements.
Have an AI idea? Let's build it.
Tell me what you want to automate, build or improve, and we can turn the idea into a practical AI-powered application.