Hippocratic AI vs Niramai

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Hippocratic AI employs 50-200 people, while Niramai has 50-200 employees.

Hippocratic AI has raised more in total funding at $120M, compared to Niramai's $17M — a gap of $103M.

Hippocratic AI holds the higher Awaira Score at 65/100, compared to Niramai's 60/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 5-point gap that reflects meaningful differences in scale or traction.

Hippocratic AI was founded by Munjal Shah in 2023. Niramai was founded by Geetha Manjunath in 2016. Visit each company's profile on Awaira for a full founder biography.

Hippocratic AI: Hippocratic AI develops a safety-focused AI platform designed to address the global shortage of healthcare professionals by deploying AI agents that perform patient-facing healthcare communication tasks including care navigation, medication adherence outreach, chronic disease monitoring, and post-discharge follow-up. The platform is built around a healthcare-specific large language model with extensive safety evaluation against clinical benchmarks.\n\nThe company raised approximately 120 million USD in early rounds and has established partnerships with health systems and payers focused on reducing care gaps and improving patient engagement at scale. Hippocratic positions its AI as augmenting the healthcare workforce rather than replacing clinicians, targeting the vast volume of lower-acuity patient interactions that do not require physician judgment.\n\nThe healthcare staffing shortage is a structural problem projected to worsen over the next decade, creating durable demand for AI solutions that extend the capacity of existing clinical teams. Hippocratic AI competes with ambient clinical AI companies and general-purpose AI assistant platforms, but its narrow vertical focus on patient-facing healthcare communication and its safety-first design philosophy position it to navigate the regulatory and liability landscape that general AI platforms are less equipped to manage. Niramai: Niramai has developed a radiation-free, non-contact breast cancer screening solution that uses thermal imaging combined with AI-powered image analysis to detect early-stage breast cancer, addressing the significant access and cost barriers that prevent widespread mammography screening in low- and middle-income countries. The technology works without X-ray radiation, requires no radiologist for initial interpretation, and can be deployed in mobile screening units.\n\nThe company raised approximately $17M in Series B funding and has conducted clinical validation studies demonstrating sensitivity and specificity metrics competitive with mammography for early detection. Niramai has deployed its screening solution at hospitals, corporate wellness programs, and rural health camps across India.\n\nBreast cancer is the most common cancer among Indian women, yet screening rates remain critically low due to equipment costs, specialist shortages, and cultural barriers to mammography. Niramai's AI-powered thermal screening addresses each of these barriers simultaneously, positioning the company at the intersection of AI healthcare innovation and a major Indian public health challenge.

Niramai was founded first in 2016, giving it 7 years of additional market experience. Hippocratic AI was founded later in 2023. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Both Hippocratic AI and Niramai report similar employee counts of approximately 50-200. Team size is often a proxy for operational scale, though lean AI companies can punch well above their headcount.

Yes, Hippocratic AI and Niramai are direct competitors — both operate in the AI Healthcare space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.