Summary
- Profile Type
- Technology offer
- POD Reference
- TOGB20240322016
- Term of Validity
- 22 March 2024 - 22 March 2025
- Company's Country
- United Kingdom
- Type of partnership
- Commercial agreement with technical assistanceResearch and development cooperation agreement
- Targeted Countries
- All countries
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General information
- Short Summary
- A UK-based fabless semiconductor SME is pioneering Neuromorphic Analog Signal Processing (NASP) technology alongside Neuromorphic Front End (NFE) chip architecture. Seeking collaboration with wearable device providers, startups, or significant players in healthcare analytics under a commercial agreement with technical assistance and research cooperation agreement.
- Full Description
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UK fabless chip company specialises in developing and manufacturing at-sensor neuromorphic analog signal processing (NASP) solutions for front-end applications.
The company’s primary focus is to address the challenge of consistent and ongoing vital signs monitoring via wearable devices, aiming to deliver personalised healthcare guidance. This is achieved through leveraging personalised big data analytics, utilising cutting-edge generative AI techniques inspired by recent advancements in large language model (NASP) technology.
Their goal is to address the issues of cumbersome, expensive, and short-lived health monitoring. Current wearable devices face challenges in continuous health monitoring primarily because of data-related issues. Their solution employs on-device processing to bolster data privacy.
The company is currently developing a proof of concept (PoC) aimed at generating precise health data through smart wearables (e.g.rings/wristbands) equipped with sensors like photoplethysmogram, PPG) and inertial measurement unit (IMU). The data collected will be used to train neural networks (NN), which will then be integrated into the NFE chipsets. This integration will enable the provision of health insights with minimal power consumption (150uW) and ultra-low latency (20usec). This holistic integration will monitor daily activities and healthcare metrics, providing continuous and personalised advice akin to an intelligent personal healthcare advisor.
As part of its ongoing international growth strategy, the company seeks partnerships though a commercial agreement with technical assistance and research cooperation agreements. - Advantages and Innovations
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The NASP NFE chip represents a ground-breaking development for always-on sensor level solutions. By embedding intelligence directly into sensor processing, it refines raw data and transmits only pertinent information to the cloud. This process significantly minimises data transmission, slashing flow by a thousandfold at the sensor level. Consequently, it eradicates numerous subsequent expenses linked with transmission, processing, and storage, thereby reducing total cost of ownership and fostering sustainability across the entire solution.
NASP is an ideal solution with ultra-low 100uW power consumption and accuracy doubled compared to traditional algorithms. It saves power, enabling long battery life and sometimes even implementation of energy harvesting.
The standout benefit lies in the seamless acquisition, compression, and transmission of real-time vital signs from various synchronised sensors (such as PPG, IMU, ECG, etc.).
Through local data processing and selective information transmission, edge AI drastically reduces latency, facilitating swift decision-making and ensuring complete data privacy. These advancements pave the way for sleeker, longer-lasting, and more affordable devices.
The technology enriches existing generative AI for healthcare ecosystems by providing permanent access to individual vital signs via wearable devices. - Stage of Development
- Under development
- Sustainable Development Goals
- Goal 3: Good Health and Well-being
- IPR description
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At the device level, the company is open to collaborate with non-invasive wearable device manufacturers and providers. Ideally the devices should embed sensors with access to raw data. The sensors they seek to include (one or several) are PPG, Green, Red, and InfraRed, IMU (inertial measurement unit), ECG (electrocardiography), EDA, and more.
At the healthcare analytics level, they seek collaborations with start-ups and established industry players to jointly compute and classify healthcare indicators derived from raw data collected from vital signs. Partnerships will analyse general healthcare indicators or focus on specific applications such as remote patient monitoring, elderly care, and health insurance.
Partner Sought
- Expected Role of a Partner
-
The company seeks partnerships with various stakeholders across global healthcare.
The company is actively seeking partnerships to collaborate on developing a proof of concept that demonstrates the capabilities of their NASP technology. They welcome engagement from start-ups, SMEs, or larger entities interested in jointly creating a comprehensive solution for an AI-based personal healthcare advisor.
This collaboration would entail creating a use-case that encompasses the entire process, from acquiring raw vital signs data using existing wearable devices or potentially manufacturing new ones, to developing the software layer for classification and computation of healthcare indicators using both traditional and machine learning methods.
Regarding vital signs data acquisition, they seek partners to assist in collecting data with their devices and granting access to the raw data. As for analytics related to healthcare indicators, partners are encouraged to leverage their existing algorithms and machine learning methods (or conjointly develop new ones) to demonstrate the potential of our technology in creating an AI personal healthcare advisor focused on specific healthcare indicators.
The solution facilitates ongoing monitoring of healthcare indicators, creating fresh avenues for both start-ups and established entities in the healthcare analytics sector to introduce innovative services and solutions for burgeoning markets like health insurance, remote patient monitoring, elderly care, fitness, and overall wellbeing.
The company is open to discussing and determining the most suitable collaboration approach with interested partners. - Type and Size of Partner
- OtherUniversitySME 11-49SME <=10Big companyR&D InstitutionSME 50 - 249
- Type of partnership
- Commercial agreement with technical assistanceResearch and development cooperation agreement
Call details
- Coordinator required
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Yes
Dissemination
- Technology keywords
- 01003003 - Artificial Intelligence (AI)01003022 - Smart Appliances
- Market keywords
- 02007012 - Medical/health software02007016 - Artificial intelligence related software05007004 - Monitoring equipment
- Sector Groups Involved
- DigitalHealth
- Targeted countries
- All countries