Summary
- Profile Type
- Research & Development Request
- POD Reference
- RDRLT20250616002
- Term of Validity
- 16 June 2025 - 16 June 2026
- Company's Country
- Lithuania
- Type of partnership
- Research and development cooperation agreement
- Targeted Countries
- All countries
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General information
- Short Summary
- Our AI-powered voice analysis enables non-invasive, accessible screening for chronic conditions like diabetes. By using voice recordings to detect physiological changes, we can detect blood glucose abnormalities using only a smartphone. The company is actively looking for partners with expertise or infrastructure in the following areas: Data Acquisition, Model Development and Clinical Research Support.
- Full Description
-
Project Overview
We are developing an AI-powered voice analysis platform to detect and monitor chronic health conditions—starting with diabetes—using nothing more than a short voice recording. Our technology leverages subtle, data-driven changes in vocal parameters that correlate with physiological states, enabling non-invasive, affordable, and scalable health monitoring.
What We're Looking For
We are actively looking for partners with expertise or infrastructure in the following areas:
Data Acquisition
Especially partners with access to diabetic populations, clinical sites. We are open to structured collaborations, data-sharing agreements, or co-designing studies.
Model Development
Expertise in time-series analysis, multimodal deep learning (audio + physiological data), or voice signal processing. Ideal collaborators may have experience with longitudinal modeling, personalized AI, or clinical-grade algorithm development.
Clinical Research Support
Partnerships with hospitals, academic labs, or CROs who can help design ethically approved studies with controlled protocols to pair voice data with blood glucose measurements.
Let's Collaborate
We're looking for partners who believe that impactful AI doesn't have to be invasive or expensive. If you can support data collection, or pilot this with patients, we'd love to talk. - Advantages and Innovations
-
Our innovation lies in turning the human voice into a non-invasive, low-cost biomarker for blood glucose monitoring. Unlike traditional diagnostics, our method requires no physical samples, no wearable devices, and no specialized hardware, just a short spoken sentence.
Key Advantages:
Non-Invasive: Voice is passively collected, eliminating the discomfort and cost of blood sampling or skin-inserted sensors.
Accessible: Anyone with a smartphone can use our system—no clinics, no labs, no needles.
Scalable: Voice-based diagnostics are language-agnostic and can be deployed across populations without additional infrastructure.
Personalized: Our models adapt to individual voice patterns over time, increasing sensitivity and reducing false positives.
Early Detection: Undiagnosed diabetes is a global crisis. Our solution offers a proactive, invisible way to catch early signs—even before users know they're at risk.
Innovation:
Where existing digital health tools focus on data input (manual logs, wearable data), we're pioneering a passive, natural interface.
This approach positions our system at the intersection of clinical AI, digital biomarkers, and preventive care—with potential applications far beyond diabetes in the future.
We're redefining health monitoring with a tool as simple as speaking. - Technical Specification or Expertise Sought
-
We are seeking partners with access to clinical or real-world voice and glucose data to help us scale and validate our AI models. The ideal collaborator would support:
Data Acquisition: Provide access to patients.
Clinical Collaboration: Facilitate participant recruitment, including among underrepresented or at-risk populations.
Model Training Support: Contribute to data preprocessing, annotation, or machine learning infrastructure.
Validation & Deployment: Assist in pilot studies or real-world testing in healthcare or community settings. - Stage of Development
- Under development
- Sustainable Development Goals
- Goal 3: Good Health and Well-being
- Goal 17: Partnerships to achieve the Goal
- IPR status
- No IPR applied
Partner Sought
- Expected Role of a Partner
-
We are seeking partners with access to clinical or real-world voice and glucose data to help us scale and validate our AI models. The ideal collaborator would support:
Data Acquisition: Provide access to patients.
Clinical Collaboration: Facilitate participant recruitment, including among underrepresented or at-risk populations.
Model Training Support: Contribute to data preprocessing, annotation, or machine learning infrastructure.
Validation & Deployment: Assist in pilot studies or real-world testing in healthcare or community settings. - Type and Size of Partner
- University
- SME 50 - 249
- Big company
- R&D Institution
- SME 11-49
- SME <=10
- Type of partnership
- Research and development cooperation agreement
Call details
- Framework program
- Coordination of Research Activities
- Call title and identifier
-
First call for Data Acquisition
- Coordinator required
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Yes
- Deadline for EoI
- Deadline of the call
- Coordination of Research Activities
Dissemination
- Market keywords
- 05005003 - Endocrinology
- 05007007 - Other medical/health related (not elsewhere classified)
- 02007016 - Artificial intelligence related software
- Targeted countries
- All countries