Insitro vs Niramai

Insitro has a disclosed valuation of $2.2B, while Niramai's valuation is not publicly available, making a direct size comparison difficult. Insitro employs 300 people.

Insitro has raised more in total funding at $743M, compared to Niramai's $17M — a gap of $726M. Combined, the two companies have completed 3 known funding rounds.

Insitro holds the higher Awaira Score at 73/100, compared to Niramai's 60/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 13-point gap that reflects meaningful differences in scale or traction.

Insitro was founded by Daphne Koller in 2018. Niramai was founded by Geetha Manjunath in 2016. Visit each company's profile on Awaira for a full founder biography.

Insitro: Insitro is an AI-driven drug discovery company founded in 2018 that applies machine learning to accelerate pharmaceutical development. The company combines computational biology, artificial intelligence, and wet-lab experimentation to identify and validate drug targets more efficiently than traditional methods. Insitro's platform uses proprietary algorithms to analyze complex biological data, predict drug efficacy and safety profiles, and optimize candidate selection across therapeutic areas including metabolic disease, oncology, and immunology. The company has raised $743 million across multiple funding rounds, achieving a valuation of $2.2 billion as of its Series C stage. This positions Insitro among well-capitalized AI healthcare startups addressing the structural inefficiencies in drug discovery. The company partners with pharmaceutical institutions to apply its technology to their pipelines, leveraging both internal discovery programs and collaborations. Insitro's competitive approach differs from pure software platforms by integrating experimental validation, reducing the translation gap between computational predictions and real-world drug performance. The company operates in a crowded but expanding market of AI drug discovery platforms competing against both established pharma AI initiatives and other venture-backed startups. Its growth trajectory reflects investor confidence in AI-enabled drug discovery models, though clinical validation remains ongoing for internally developed candidates. Insitro uniquely combines machine learning with integrated wet-lab capabilities rather than operating as pure software, bridging computational predictions to experimental validation. 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 2 years of additional market experience. Insitro was founded later in 2018. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Insitro has approximately 300 employees, while Niramai has approximately 50-200. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Insitro 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.