Project description
Creating trusted digital identities
Digitalising the identity verification process of individuals and companies is a top priority for the EU. Making national eID schemes interoperable across Europe facilitates access to online services. Digital identities make it possible for consumers to identify themselves immediately to businesses. The big issue is how to ensure the ID is trusted and secure. Fraud poses a significant financial and security problem for organisations. Addressing this issue, the EU-funded Daego project is working on a modular, user-centric, fully automated, scalable and secure software platform for secure identity verification and efficient customer onboarding, allowing for the creation and management of trust. Specifically, it uses a machine-based approach, deploying computer vision and machine learning, to efficiently and securely validate document authenticity in real time.
Objective
Fraud due to Digital ID (Identity) thefts is a huge economical and security problem for organizations. As a token, in 2018 American companies lost $3.4 billion in new accounts fraud. Furthermore, Digital ID fraud undermines digital engagement as users do not trust their Digital ID security. A secured system of Digital ID Verification is mandatory to drive digital growth. However, while Digital users demand better security, they are frustrated by the current Digital ID verification methods. 43% of digital users think that Digital ID verification solutions are cumbersome and are saying NO to current procedures to verify their Digital ID. The challenge is to build a secure, fully automated and user-friendly Digital ID verification for customer on-boarding. PXL Vision AG has developed a proven solution is Daego, a modular, user-centric, fully automated, scalable and secure software platform that best optimizes company resources and UX for customer on-boarding. Based on unique technical features that go beyond state-of-the-art, the deployment of DAEGO has huge benefits for users: 100% reduction of fraud; >75% reduction in customers on-boarding cost; BIG increase in customer digital engagement; as little as one week for deployment; low implementation risks proven in leading industrial verticals. The business opportunity is huge: the Digital ID Verification market size is expected to grow from $6.0 billion in 2019 to $ 12.8 billion by 2024, at a CAGR of 16.0%. Market drivers are the rising number of identity frauds, stronger regulations on general data protection, enterprise mobility and BYOD (bring-your-on- device) trend.
Created for entrepreneurs with strong technical and business experience, PXL Vision has become in two years in the market, a reference for Digital ID verification in Switzerland, with a filed patent with more than 40 claims, backed-up by key investors and winner of the most prestigious Swiss entrepreneurial awards in 2019.
Fields of science (EuroSciVoc)
- natural sciences computer and information sciences software
- natural sciences computer and information sciences computer security data protection
- social sciences economics and business business and management entrepreneurship
- natural sciences computer and information sciences artificial intelligence machine learning
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
8002 ZURICH
Switzerland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.