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Fractal Analytics sets out to build India’s first large reasoning model: report
Fractal aims to build reasoning capabilities from scratch on open-source LLMs with permissive licenses, including Indian LLMs.

Mumbai-based artificial intelligence (AI) firm Fractal Analytics has unveiled plans to build India’s first large reasoning model (LRM) at an overall cost of $13 million, of which it has sought external funding of $9 million, The Economic Times reported.
Built at lower costs for training the model, Chinese DeepSeek leads the pack with an estimated investment of around $6 million for its V3 model.
Fractal founder Srikanth Velamakanni, in a LinkedIn post, said the current large pre-trained AI models are great at summarization, information retrieval, and content generation. But the next frontier is building systems that can think, reason, plan, and act.
He added that it’s about building systems that can work with pre-trained models – and accomplish complex real-world tasks through better reasoning.
AI development is fundamentally a collaborative effort – built on shared experiences, open innovation, and mutual learning, he said.
The ET report said Fractal aims to build reasoning capabilities from scratch on open-source LLMs with permissive licenses, including Indian LLMs.
Fractal was set up in 2000 by Velamakanni, Pranay Agrawal, Nirmal Palaparthi, Pradeep Suryanarayan, and Ramakrishna Reddy.
The company has now become a key player in the analytics industry, serving several Fortune 500 companies.
It staffs more than 4,600 people globally, including the US, UK, India, Ukraine, Singapore, and Australia. It provides services tailored to multiple sectors, such as consumer packaged goods, insurance, healthcare, life sciences, and retail.
Its flagship offerings include solutions like Crux Intelligence (business intelligence), Eugenie.ai (AI for sustainability), Asper.ai (revenue growth management), and Senseforth.ai (conversational AI).
Fractal has also developed Qure.ai, which specializes in healthcare AI applications for detecting diseases like tuberculosis and lung cancer.