Niramai vs Alan

Alan has a disclosed valuation of $5.8B, while Niramai's valuation is not publicly available, making a direct size comparison difficult. Alan employs 500-1000 people.

Alan has raised more in total funding at $750M, compared to Niramai's $17M — a gap of $733M. Combined, the two companies have completed 4 known funding rounds.

Alan leads with an Awaira Score of 83/100, while Niramai sits at 60/100. That 23-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Niramai was founded by Geetha Manjunath in 2016. Alan was founded by Jean-Charles Samuelian in 2016. Visit each company's profile on Awaira for a full founder biography.

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 development and a major Indian public health challenge. Alan: Alan is an AI-powered health insurance platform that combines employer group health insurance products with a digital health companion application, using AI to personalise member health recommendations, streamline claims processing, and provide on-demand access to telehealth and mental health resources. The Paris company holds full insurance carrier status in France, Belgium, and Spain, operating as a licensed insurer rather than a distribution intermediary.\n\nThe company raised approximately $220 million including a Series D round from investors including Temasek, Coatue, and Index Ventures, reaching a valuation of approximately $1.4 billion. Alan reports over half a million members across its markets, covering employees at several thousand companies including Stripe, Spendesk, and Vinted, with strong growth in SME employer sales driven by its digital-first enrolment and claims experience. The Alan app provides members with health navigation, symptom checking, and AI-generated health content in addition to insurance card and claims management functionality.\n\nAlan competes in the European digital health insurance market against traditional mutuals including Malakoff Humanis and AG2R La Mondiale, as well as digital health insurers including Henner and Oscar Health in the US context. Its vertical integration as a licensed insurer combined with a technology platform differentiates it from insurtechs that distribute existing insurer products through digital channels, giving Alan full control over the member experience and claims economics. The company is considered one of the most significant French technology companies building in regulated financial services.

Both Niramai and Alan launched in 2016. Same year, but even a few months' head start matters in AI — early movers lock in data, talent, and customer relationships fast.

Niramai has about 50-200 employees; Alan has about 500-1000. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Niramai and Alan compete in AI Healthcare, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.