Enterprise Europe Network

Next generation digital assistant technology solves speed, accuracy, cost and visual engagement challenges

Country of origin:
External Id: 
Last update
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Partner keyword: 
Artificial Intelligence (AI)
User Interfaces, Usability
Visualisation, Virtual Reality
Therapeutic services
Toys and electronic games
Drug stores
Computer stores
Other consumer products


A UK company has developed and combined machine learning and realistic avatars. This allows to engage customers, students or patients so that they get information that is accurate and wanted or needed by them. Better service is being offered at lower cost. Industry and government organisations in healthcare, and brand or e-commerce owners are sought for commercial agreements with technical assistance.



In many sectors, the almost blanket adoption of smart devices automates and enables spreading of information and services. This is true for e-commerce, online learning, telehealth and so on. What is less developed is the interaction and feedback side from the customer or patient. Information delivered is usually in text format which is not engaging and it is scattered in rigid blocks in separate places. It is difficult for the person to respond to the information given. In e-commerce, this results in sub-optimal conversions but in areas such as healthcare and patient education slow and inaccurate understanding will lead to deteriorating health outcomes.

A UK company has now launched technology that combines patented market leading machine learning with pioneering relatable avatars that can be adapted to age, gender, language and ethnicity for maximum user engagement (see the Pictures). The digital assistant delivers answers rapidly, highly visually and with 95%+ accuracy. This solution is completely unique in its approach and ground-breaking in navigating stringent healthcare regulatory requirements such as pharmacovigilance.
The technology is gaining rapid interest and adoption in a post COVID world, with opportunities in education (teaching assistant tools), driving e-commerce, reducing customer care costs, and presenting an exciting use case for the media and advertising industry.
The company seeks technology adopters as well as integrators in multiple sectors, for commercial agreements with technical assistance.

Advantages & innovations

Cooperation plus value: 
• 95+% accuracy, and improves with usage; • Reduces customer service costs by up to 92%; • Increases opportunity for sale by 67%; • GDPR and regulatory compliant; • The use of virtual assistants can lead to a 99% improvement in response times; • Digital assistants can mine deep consumer behaviour, ultimately shaping marketing strategy. The technology records every interaction, providing regular reports around usage, types of enquiries and consumer demands; • Visual communication tools such as this have been found to improve the learning process by up to 400%. The technology has a unique visual delivery system; • The technology connects to website, app or social media; • The technology’s avatar can be developed to represent any age, gender and ethnic profile as well as speak multiple languages; • The tool has the potential to reduce unnecessary visits to medical practitioners by providing a first line diagnostic/triage which could offer significant financial savings to public healthcare providers.

Stage of development

Cooperation stage dev stage: 
Already on the market

Partner sought

Cooperation area: 
Type of partner sought: government and industry specific area of partner sought: two types of partners are of particular interest. These are on the one hand, national healthcare systems (both governments and industry) and on the other, brand owners of consumer goods (including healthcare products). Also, integrators are sought who can build the offered technology into their solutions. Role of partner sought: to acquire the technology under a commercial agreement with technical assistance. The technical assistance includes training, setting up the software, and online aftercare.

Type and size

Cooperation task: 
SME 11-50,R&D Institution,SME <10,251-500,SME 51-250,>500


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