After closing an initial investment round, we built a multidisciplinary team, secured public grants, partnered with Samsung Health, and joined the Basque Health Cluster.
In 2024, we completed our MVP and presented ANNi—our real-time mental health monitoring platform—at major international events, including the Web Summit in Lisbon and the joint Congress of AEETCA and the HLA Chapter of the Academy for Eating Disorders in Madrid.
That same year, we were selected among APTE’s Top 100 Startups in Spain.
In 2025, we showcased the project at 4YFN (Mobile World Congress). We’re coordinating a pilot with Comenzar de Nuevo. We have been selected among the Top 3 in the Health category of the “Tu Idea Cuenta” competition, organized by Álava Emprende, and became finalists at Araba Venture, B-Venture, and the Al-Andalus Innovation Venture. We are closing the year being recognized among the Top 101 Spain Up Nation, highlighting our growth and national impact.
Our work has also been featured in the press, including El Correo and El Referente, further highlighting the social and clinical impact of our mission.
Our Mission
At Psifiacos, our mission is to create smart digital tools that make mental health care more accessible, proactive, and effective. By combining artificial intelligence, wearable technology, and clinical knowledge, we empower individuals, families, and professionals to prevent, monitor, and respond early to mental health challenges.
Our Vision
We imagine a world where mental health support is always within reach. Our goal is to contribute to the development of more accessible, proactive, and effective digital mental health through smart, evidence-based solutions. We aim to help people live healthier, more balanced lives—while supporting caregivers and easing the pressure on healthcare systems.
We believe early detection and continuous support are key to meaningful change. That’s why:
1) Real-world data collection through smart devices, capturing real-time physiological signals from daily life.
2) Intelligent algorithms powered by AI and clinical knowledge to identify early indicators of mental health risk.
3) Timely and personalized alerts sent to caregivers and professionals when something feels off.
4) Empathetic design focused on ease of use, privacy, and the needs of both families and clinical teams.
5) Scalable and CE-ready solutions built for seamless integration into broader healthcare ecosystems.
