Portland, ME; February 19th, 2026, Ateklo Inc., an applied human machine collaboration corporation, today unveiled EliVive Inc., a company developing a next generation wearable and software platform designed to help women better understand their hormonal patterns and make more informed health decisions.
Women's hormonal patterns are dynamic and highly individualized, yet current approaches are invasive or rely on intermittent measurements that miss how hormone levels shift throughout daily life. EliVive is being built to help close that gap through noninvasive, more frequent measurement, translating complex, subtle hormonal signals into clear, individualized insights.
EliVive is emerging from stealth with a focus on turning a human byproduct, sweat, into a practical, everyday source of hormonal data. The company is developing a microfluidic based sensor system that collects hormone signals from sweat, paired with software that uses AI to interpret patterns from repeated readings. The combination of microfluidics, electrochemical sensing, and advanced machine learning enables EliVive to turn a disregarded human byproduct into a next generation hormonal tracking wearable.
“The ultimate goal of EliVive's mission is to change the way we understand and approach women's hormonal health. Achieving our mission would have broad societal impact across longevity, fertility outcomes, birth rates, and the early tracking of hormonal imbalances,” said Martina Marrali, CEO & Cofounder of EliVive Inc.
“Dr. Liza White and I came together because of a shared passion and genuine interest in improving the access women have to their individualized hormonal health. As two women who face challenges with our hormonal health, we know first hand how little data and insight is actually accessible to women.”
“We believe the technology we are developing will unlock the potential of biological signals that have historically been overlooked,” said Liza White, Ph.D., CTO & Cofounder of EliVive Inc.
“By combining advances in AI with biosensing science and microfluidic design, we are building what we believe will be a platform capable of Real Time hormone monitoring and deeply personalized insight into hormonal health.”
EliVive is the latest company originated from Ateklo's platform, where Ateklo pairs technical researchers and builders to originate and advance frontier scientific discoveries into product ready ventures.
“We are proud to back EliVive and thrilled to collaborate with them as they take what started as a hypothesis and build it into a high impact platform for women's health and wellness,” said Justin Hafner, CEO & Founder of Ateklo Inc. and Founding Board Member of EliVive Inc.
“Martina and Dr. White combine scientific depth with unusually strong execution. During their Ateklo fellowship, it became clear they could move from hypothesis to prototype quickly while staying disciplined and focused on the science. When EliVive began taking shape, we knew they were the right team to create and spin out the company.”
EliVive has received an initial investment from Ateklo and is advancing toward its next technical and validation milestones. The company is actively building relationships across wellness device companies, women's health providers, and potential users. As EliVive moves toward MVP development and validation testing, it will continue expanding its network of advisors across healthtech, biotech, femtech, AI, and finance to support disciplined growth and long term impact.
About EliVive Inc.
EliVive (pronounced “El ee vyve”) is a women's health technology company developing an AI powered system paired with a noninvasive wearable platform for continuous hormone monitoring. By combining advanced sweat biosensing with AI analytics, EliVive tracks key reproductive hormones in real time, turning daily hormonal changes into clear, personalized insights.
About Ateklo Inc.
Ateklo is an applied human machine collaboration corporation. We build the critical infrastructure, an intelligence engine and an AI native operating system, that lets people and machines collaborate to maximize their shared potential, and we originate a portfolio of ventures that put that infrastructure to work on high consequence problems.