Fractal Analytics has launched Vaidya 2.0, the next generation of its healthcare reasoning model, positioning it as a high-performing system on global healthcare AI benchmarks. The model was unveiled at the India AI Impact Summit 2026 in Delhi.
Vaidya 2.0 scored 50.1 on OpenAI’s HealthBench (hard), a benchmark designed to evaluate realistic and complex healthcare conversations. With this score, the model outperformed leading frontier systems, including OpenAI’s GPT-5 and Google’s Gemini Pro 3 on the same benchmark. According to the company, it is the first AI model to cross the 50-point threshold on HealthBench (hard), which assesses performance across demanding clinical reasoning and health data tasks.
The model has been post-trained to enhance reasoning accuracy across healthcare workflows and is designed to function as a “healthcare operating system.” It aims to bridge raw health data and actionable clinical decision-making across multiple use cases. These include emergency triage and rapid decision support, high-fidelity symptom checking for citizens, and end-to-end patient journey assistance from initial symptom assessment to treatment adherence.
Beyond citizen-facing applications, Vaidya 2.0 demonstrated strong performance on the MedExpert benchmark, which evaluates expert-level medical reasoning. The upgraded model introduces expanded capabilities for doctor assistance and administrative health data tasks, supporting clinicians and healthcare systems with structured reasoning and workflow integration.
Fractal’s launch comes as part of its broader participation in the ₹10,300-crore India AI Mission, under which it has been selected as a partner to help build sovereign AI capabilities for the country. The company said Vaidya 2.0 is the first in a planned series of verticalised foundation models tailored to address healthcare delivery challenges in emerging markets, particularly in the Global South.
The development reflects growing efforts to integrate advanced reasoning AI into India’s expanding digital health infrastructure, which includes initiatives such as Ayushman Bharat and the ABHA health ID system.
By combining large-scale digital health data with specialised medical reasoning models, companies are seeking to enable more accurate, scalable and accountable public health decision-making.
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