Latest news with #SrikanthVelamakanni
Entrepreneur
4 days ago
- Business
- Entrepreneur
We see Agentic AI as a Once-in-a-Lifetime Opportunity: Srikanth Velamakanni
With a team of more than 5000 professionals worldwide, Fractal has also built cutting-edge AI platforms such as which applies AI to assist people in medical diagnosis and Kaleido, India's first text to image diffusion model You're reading Entrepreneur India, an international franchise of Entrepreneur Media. Tech 25: Srikanth Velamakanni, Co-founder, Group Chief Executive and Executive Vice Chairman of Fractal Fractal Analytics was founded in 2000 with a vision to empower organisations through data-driven decision-making. At a time when analytics was still nascent, Fractal believed in the transformative potential of data and AI to solve complex business challenges. Over the years, Fractal has evolved into a global AI powerhouse, serving over 100 Fortune 500 companies across sectors. Fractal first started looking at AI in 2010, when AI research had started seeing some results with speech analytics. The company started Fractal Sciences, an R&D division in 2011, to work on AI products spending about 13 per cent of annual revenue on R&D. As technology progressed, Fractal incubated AI companies within its fold, starting with in 2015 under a newer entity, Fractal Alpha, and focused on building AI products for industry-specific use cases. Fractal Alpha includes companies that are incubated by Fractal, like Crux Intelligence, and With a team of more than 5000 professionals worldwide, Fractal has also built cutting-edge AI platforms such as which applies AI to assist people in medical diagnosis and Kaleido (India's first text to image diffusion model). "India stands at a pivotal moment, ready to lead the next wave of AI innovation. But to truly harness this potential, businesses must double their investment in technology. Today, Indian companies spend just 2-3 per cent of their revenue on tech. This needs to increase significantly to fully capitalize on AI's promise. At Fractal, we are committed to driving this transformation by building high-quality AI products that address India's unique needs," says Srikanth Velamakanni, Co-founder, Group Chief Executive and Executive Vice Chairman of Fractal. Recently, Fractal AI's Project Ramanujan introduced a groundbreaking reasoning system to enhance the capabilities of large language models (LLMs) by integrating deep mathematical reasoning, enabling it to tackle complex tasks such as Olympiad-level mathematics and strategic games like chess. Looking ahead, Velamakanni says Fractal plans to introduce Cogentiq, an agentic AI platform for B2B applications, and Ramanujan, an advanced AI model for reasoning and coding. Additionally, the company is developing Project Pioneer, a multi-agent AI system designed for real-world applications like software development. Today, Fractal is making a bold bet on agentic AI. "Today, our revenues come from AI systems that power enterprise decisions, and many of these systems are now evolving to become agentic. We see this as a once-in-a-lifetime opportunity to reimagine every business process with AI, from marketing and customer service to trade finance and healthcare," says Velamakanni. Asked what is one of the biggest challenges businesses face today, Velamakanni says it is building sustained trust in a rapidly evolving, tech-driven landscape. As AI and data become central to decision-making, clients and consumers alike are more cautious about how their data is used, how transparent the models are, and whether the solutions are genuinely adding long-term value or simply riding a hype wave. "Overcoming this requires more than just technical excellence. It calls for a culture of responsibility, deep domain empathy and an unwavering commitment to outcomes, not just outputs," he says. Company facts:
Time of India
24-04-2025
- Health
- Time of India
Fractal proposes indigenous AI medical models to improve healthcare
HYDERABAD: IPO-bound Fractal Analytics submitted a proposal to the IndiaAI Mission to build indigenous medical foundation models aimed at improving healthcare accessibility , medical education, and clinical decision support. Srikanth Velamakanni, co-founder of Fractal Analytics, said the estimated cost of the project would be around Rs 150 crore. Fractal proposed building a comprehensive family of foundation models—from base language models to specialised medical reasoning systems with multimodal capabilities to advance AI in healthcare, aimed at transforming the medical landscape. "The PG NEET test is taken by 200,000 people every year. Indian doctors take it annually for their post-graduation in medicine. On that test, we scored 83, which is our benchmark. All the other open-source models we accessed scored much less than that. We launched Vaidya AI to elevate it to the next level by building India's biggest breakthrough medical model," Velamakanni Mumbai-based company developed India's first multimodal medical assistant, which outperformed frontier language models like GPT-4o, Gemini, and Llama 3.2 on the PG NEET benchmark. Trained extensively with more than 650,000 images and 200,000 text samples, exhibits proficiency in processing various Indian languages, such as Hindi, Kannada, Tamil, and Telugu. Fractal's proposal said that multimodal reasoning systems possess the capability to recognise patterns of symptoms, enhancing diagnostic assessments through analysis and verification across X-rays and CT scans. These systems function by validating signals between different modes of data collection, such as establishing connections between minute features of lung nodules visible in CT scans, alterations in respiratory measurements from wearable devices, and descriptive information documented in clinical records. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Free P2,000 GCash eGift UnionBank Credit Card Apply Now Undo India's healthcare system demonstrates a pressing need for technological advancements. The disparity in healthcare access is particularly evident in rural and semi-urban regions, where the ratio of doctors to patients surpasses 1:1,500, significantly higher than the WHO's recommended standard of 1:1,000. He said the medical reasoning model supports doctors and patients with diagnosis and health-related questions. "The model can aid medical reasoning. It can assist a doctor in reaching a diagnosis. It could help a patient understand their symptoms or determine what their side effects might be. It can also provide guidance on what nutrition they should follow." The tech roadmap has two phases, with the first one incorporating a foundational language model trained from scratch on 18T tokens, STEM content, coding, and educational material. It also includes a multimodal foundation integrating the vision encoder with the language model. The second phase includes meta-cognitive abilities, self-reflection, and expert-level medical reasoning capabilities. Velamakanni said Fractal has an extensive collection of educational materials, including PG NEET and MBBS examination books covering the five-year medical programme. The dataset underwent thorough preparation through text standardisation, medical term identification, and contextual parsing before being utilised to calibrate Vaidya, ensuring its foundation in reliable, examination-focused medical knowledge and clinical analysis. Stay informed with the latest business news, updates on bank holidays and public holidays . Master Value & Valuation with ET! Learn to invest smartly & decode financials. Limited seats at 33% off – Enroll now!
