About Us

Founded by experienced AI/ML professionals with proven industry expertise, Chakram AI represents innovation in domain-specific artificial intelligence solutions.
 

The name "Chakram," meaning "wheel" in several Indian languages, symbolizes dynamism and efficiency—a concept reflected in our logo. The emblem features a wheel with colorful gears interconnected by a neural network, visually representing our Agentic AI system that seamlessly integrates technical datasets, specialized knowledge, and large language models to orchestrate business workflows. Our core objective is to empower enterprises with AI agents that deliver domain-specific technical expertise, enhance team productivity, and optimize operational efficiency.

Chakram AI's mission centers on elevating engineering proficiency through innovative workflow solutions. Our platform engineering team leads advancements in data science and machine learning research, combining technical excellence with strategic vision to develop a next-generation AI platform capable of addressing complex technical challenges.

Our flagship offering integrates cutting-edge developments in artificial intelligence, machine learning, computer vision, and conversational design with domain-specific knowledge bases. 

We specialize in large language models tailored for advanced technical operations that demonstrably outperform general-purpose LLMs in specialized tasks, providing engineers and technical experts with precision tools for their work. Through targeted fine-tuning, architectural optimization, and comprehensive evaluation protocols, our models deliver actionable insights for solution design, product guidance, and troubleshooting while maintaining high inference speeds and deployment flexibility.

We envision a future where specialized engineers can reach their full potential without being limited by skill gaps, information access barriers, or complex technical challenges. The Chakram AI Agentic Expert Platform forms the foundation of this vision, creating AI experts that bring greater reliability, efficiency, and innovation to domain-specific engineering workflows across industries.