Elomia Health has completed the acquisition of Earkick, an AI companion platform that serves over 250,000 users tracking mood, sleep, activity and daily patterns. The deal transfers Earkick's proprietary AI models and contextual memory capabilities into Elomia's infrastructure, marking a strategic shift for the company away from direct-to-consumer applications toward providing AI wellbeing systems for healthcare organisations.
Founded in 2019 by Ukrainian entrepreneur Taras Pohrebniak, Elomia Health began as an R&D laboratory investigating how large language models could enhance mental wellbeing. The company's technology has undergone rigorous validation, including a randomised controlled trial conducted in partnership with the University of Pennsylvania.
Earkick emerged in 2021 from the work of Dr Herbert Bay, who co-developed the SURF algorithm—a foundational computer vision technique widely adopted over the past two decades—alongside Karin Andrea Stephan, whose research examined how technology supports emotional wellbeing in everyday life. The Earkick platform identifies behavioural patterns and delivers personalised recommendations grounded in user data.
The acquisition strengthens Elomia's LLM-powered API offering, which enables healthcare providers and other organisations to deploy compliant, secure AI chatbots for mental health support. Through this deal, Elomia gains access to Earkick's advanced AI models alongside early versions of Mia21, a memory engine developed by the Earkick team.
The right message at the right time — based on real data and delivered in a way people are most receptive to — can save lives. Bringing Earkick and Elomia together takes us a step closer to making that kind of personalised support available at scale.
Karin Andrea Stephan, COO of Earkick
From the beginning, our mission has been to make mental wellbeing more measurable, personal, and accessible.
Dr Herbert Bay
Taras was among the first to bring LLMs into the wellbeing space, and he has built a company that shares our vision and brings deep expertise in safe, evidence-based support. Together, we're building something far more powerful than either of us could have created independently.
Dr Herbert Bay
Our focus is on helping organisations launch AI for wellbeing support the right way — safe by design, and something people actually use. The Earkick team spent years building an engine that understands a person's state and context over time. By pairing it with our own models and our safety and overreliance-prevention layer, we're making it a core part of our technology.
Taras Pohrebniak
Source: Tech.eu
