AI Development Company India

We construct private AI systems that process media streams, extract document data, and search corporate archives without exposing sensitive data.

Our Capability & Overview

Chandraja Infotech maintains operational teams delivering state-of-the-art results in this domain. We work closely with our clients to customize architectures, normalize database entities, and ensure robust security audits matching enterprise benchmarks.

Key Focus Capabilities

  • Generative AI & LLM Customization
  • Retrieval-Augmented Generation (RAG)
  • Computer Vision & Object Tracking
  • Automated Document Classification

Frequently Asked Questions (FAQ)

Q: How do you protect corporate data in AI systems?

We deploy local vector databases and run models within isolated VPC environments, preventing sensitive corporate documentation from being sent to public AI training sets.

Q: What is RAG?

Retrieval-Augmented Generation (RAG) is a technique that queries private company documents to provide context to a LLM, ensuring accurate responses without hallucinations.

Q: Can you run AI models on edge devices?

Yes, we optimize lightweight machine learning models (like TensorFlow Lite and custom OpenCV filters) to execute directly on edge gateways or mobile hardware.

Need a Niche Architecture Proposal?

Request a design proposal from our system architects. We supply structured estimates, capability matrices, and architectural briefs.

Request a Proposal