Knowledge to act
Enabling earlier, safer clinical intervention
We give you a clearer, earlier view of every patient, without adding to the workload.
Our patent pending wearable gathers comprehensive patient data and processes it in real time. Configurable alerts and patient-specific trend summaries slot into existing routines, helping you intervene sooner while freeing capacity and budget.
Lower Cost of Care
Shorter stays and fewer readmissions lower costs without compromising quality
Seamless Patient Monitoring
A single device follows the entire patient journey from hospital to home.
Lightened Staffing Burden
Automated trend analysis handles routine checks so nurses and doctors can focus on complex care.
Effortless Integration
Our solution integrates directly into your existing systems and routines, adding insight without adding workload.
Explore our clinical focus
Real-time, multi-parameters patient monitoring
Patient-specific trends with artefact handling and motion context to support earlier recognition of deterioration and consistent follow-up from hospital to home.
Our patent pending technology enables continuity of care across hospitals, clinics, and home, giving you new ways to support every patient.
We engineered our solution to be non-invasive while gathering the high-fidelity data essential to creating predictive insights.
Continuous measurements
Our compact, all-in-one wearable device provides a uniquely holistic view by capturing multiple physiological streams in perfect synchrony.
Trusted high-quality data
This sub-sample synchronization across all data streams allows us to derive novel metrics by correlating different systems of the body
Exclusive insights
Our AI processes this unique data stream in real-time, delivering predictive insight unattainable by conventional systems.
Our Clinical Focus
We are developing solutions to solve specific, high-stakes challenges in healthcare.
These are our primary areas of research and development.
Rehabilitation Tracking
Our system is being engineered to bridge the gap between in-clinic therapy and daily life, capturing the continuous neuromuscular data needed to guide and engage patients in their recovery.
Mental Health Trajectory Monitoring
Our platform is being developed to objectively measure therapy progress by tracking autonomic nervous system responses, paving the way for personalized mental healthcare.
Prediction of Intradialytic Hypotension
We are developing advanced warnings for hypotensive events during dialysis to enable timely, gentle interventions for improved patient comfort and outcomes.
Rehabilitation Tracking
Our system is being engineered to bridge the gap between in-clinic therapy and daily life, capturing the continuous neuromuscular data needed to guide and engage patients in their recovery.
Mental Health Trajectory Monitoring
Our platform is being developed to objectively measure therapy progress by tracking autonomic nervous system responses, paving the way for personalized mental healthcare.
Prediction of Intradialytic Hypotension
We are developing advanced warnings for hypotensive events during dialysis to enable timely, gentle interventions for improved patient comfort and outcomes.
See how our devices and software can transform your industry
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Partners, Users & Collaborators
Open access to raw signals gave us full control over processing and analysis, while ensuring all data remains local, greatly facilitating GDPR compliance and ethical approval processes.
Prof. Alexander Refsum Jensenius
Director of MishMash, the Centre for AI & Creativity in Norway, University of Oslo
SiFi’s platform enabled new insights into how rhythm, movement, and autonomic signals interac, thanks to seamless multi-sensor synchronization.
Assoc. Prof. Valentin Bégel
Support for signal, multi-modal exploration, Université Paris-Cité
With the BioPoint we can test novel trauma-treatment paradigms, made even more useful by the team’s ability to customize the device to our needs.
Dr. Nina Mørkved
Head of Research and Innovation at Helgeland Hospital, Associate Professor at the Department of Psychology The Arctic University of Norway
We needed a device that could adapt to our research needs, not the other way around. SiFi Labs is building us a custom solution to do exactly that.
Dr. Hongchul Sohn
Research Assistant Professor, Physical Therapy and Human Movement Sciences, Northwestern University
For the first time, SiFi Labs’ devices let us study the autonomic responses of people with spinal cord injuries, both above and below the injury site – in a real-world rehabilitation setting.
Dr. Thomas Glott
Specialist in Physical and Rehabilitation Medicine, Sunnaas Rehabilitation Hospital