AI & GenAI Solutions for Your Business

From idea to production-ready AI solutions. We help you build GenAI products, implement intelligent chatbots, and modernize your ML infrastructure.

Our Services

Comprehensive AI and GenAI services to accelerate your business transformation.

GenAI & Agentic AI Solutions

Design and build intelligent agents, LLM applications, and autonomous AI workflows that transform your business processes.

Sample Use Cases

RAG & AI Chatbots

Enterprise chatbots that understand your internal data, providing accurate answers to your team and customers.

Sample Use Cases

AI Product Engineering

Full-stack AI development from robust backend APIs to beautiful, intuitive user interfaces.

Sample Use Cases

MLOps & Platform Consulting

Modernize your ML infrastructure, implement best practices, and scale your AI operations efficiently.

Sample Use Cases

Team Upskilling & Training

Custom AI/ML training programs for your engineering and product teams tailored to your tech stack.

Sample Use Cases

Our Services

Comprehensive AI and GenAI services to accelerate your business transformation.

OpenAI / Azure OpenAI

LangChain / LangGraph

Python / FastAPI

RAG (FAISS, Pinecone, ChromaDB)

TensorFlow / PyTorch

AWS / Azure / GCP

Docker / Kubernetes

React / Next.js

Case Studies

Sample Engagements

Real-world examples of how we’ve helped companies build and scale AI solutions.

Leading IT Services Company

Enterprise Knowledge Chatbot

Problem

Support teams spending 40% of time answering repetitive internal questions.

Solution

Built a RAG-powered chatbot over 10,000+ internal documents with role-based access.

Tech Stack

Impact

60% reduction in internal support tickets, 4x faster information retrieval.

E-commerce Startup

Customer Support AI Agent

Problem

High customer support costs and slow response times during peak hours.

Solution

Deployed an AI agent that handles tier-1 queries and intelligently escalates complex issues.

Tech Stack

Impact

70% of queries resolved automatically, 50% cost reduction in support operations.

Fintech Company

ML Pipeline Modernization

Problem

Legacy ML models with manual deployment, no monitoring, frequent production issues.

Solution

Implemented end-to-end MLOps with automated training, versioning, and monitoring.

Tech Stack

Impact

Deployment time reduced from 2 weeks to 2 hours, 99.5% model uptime.

Ready to Build Your AI Solution?

Share your use case with us and let’s explore how we can help you leverage AI and GenAI for your business.