Project description
Pairing customers with the right banks
Both consumers and businesses face difficulties in finding the best bank for a loan. This has proved to be a serious problem since it discourages and hampers many customers from successfully applying for loans and it also causes a waste of time and money. The EU-funded IRMELI project will develop an innovative AI-based platform that will be able to improve itself and assist customers with finding the best bank for them. It will do this by improving itself on old and new decisions when it comes to brokering. It will also be able to be adapted for all languages. This platform will be able to thus assist customers with brokering with the best banks for their goals.
Objective
For consumers, it is laborious and time-consuming to find and compare loan providers. Without the comparison, customers waste money and gain less beneficial terms of contract with the non-optimal bank. LVS Brokers is a fintech company that has developed an AI-based brokering technology platform and provides brokering services in the financial industry, e.g. to banks and lenders. Brokering service finds the perfect match between the customer and bank. The innovative AI-based LVS platform develops itself based on previous and new decisions and is scalable to other areas and all languages. The unique AI-based technology digitalises and automatises the work that competitors perform mainly manually. Proof-of-concept on national market in Finland shows high success and client need: currently the loan application volume is over 4 B€, the company has over 400 000 customers, and over 40 service providers are using the platform. LVS Brokers delivers more business for banks and other companies, such as electricity companies, real estate agencies and insurance companies, and it saves time and money for corporate and consumer customers in brokering processes. The company targets emerging global market on online brokering services and has multiple scalability opportunities in service and market sectors. The commercialisation is well prepared, and the Phase 1 feasibility study will produce the detailed business plan to support the scale-up. The target is to reach 350 M€ growth during the 5-year period (2% market share). LVS Brokers has a talented and dedicated group of 7 with in-depth international business and industry expertise and technology understanding in the fields of software, AI, machine learning engineering and integrations. Ongoing recruitments and an active network of relevant partners and stakeholders support the scale-up.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences computer and information sciences artificial intelligence machine learning
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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.
00101 HELSINKI
Finland
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.