Project description
Smart mapping of big buildings
Many large building complexes today – from company headquarters to hospitals – are so big that it is easy for visitors to get lost. Every day, many people are late for appointments or meetings, making whole systems of companies or institutions seriously less efficient. MazeMap is the first global company offering automated indoor interactive map systems for all types of large building complexes including universities, hospitals, office buildings or shopping malls. It uses artificial intelligence and machine learning. The EU-funded SmartMap project’s first phase has enabled a feasibility study and brought over a million signed-up test users. In phase 2, they plan to optimise automation rates and commercialise their customisable solution with zero-cost productions and potential revenues of over 50 million.
Objective
The SmartMap project will achieve what has not been possible previously – to provide a fully AI automated, data-ownership enabled, indoor-map generation and wayfinding software. MazeMap AS are global first-movers and we have developed a unique AI/Machine Learning solution for 1) automating map generation at low-cost and 2) allowing customisation, integration and ownership of the data for customers. MazeMap has a proven business case as through a Phase 1 Feasibility Study (Project ID: 745040) with NTNU and St. Olav’s University Hospital. At NTNU, MazeMap helped 44,000 students and employees find their way more than 65,000 times/week during 2018 and the university estimated a yearly savings of €540,000 using SmartMap services. At St. Olav’s University Hospital SmartMap helped reduce the missed appointments by over 30 % through and integration with the hospitals appointment system. The reduction of missed appointments contributed to €1.5 million in yearly savings as well as shorter patient queues . Since the feasibility study MazeMap have reached over 1 million signed-up beta testers from across 26 countries globally. The SmartMap Phase 2 project aims to mature and commercialise a fully AI-automated SmartMap system. The funding will allow us to improve our automation rates enabling zero-cost productions going forward and develop more FMS integrations while piloting the finalized platform. Our solution belongs on the indoor mapping market segment focusing on universities, hospitals and large office buildings with an estimated value of €2.6 billion and growing at 40% yearly. The potential for growth is excellent as only 0.001% of buildings have been mapped globally. Based on our proven business case and current growth we expect to accumulate €70 million in revenues and €30 million in profits in the first five years of commercialisation and creating over 90 new FTE jobs.
Fields of science (EuroSciVoc)
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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
- social sciences sociology industrial relations automation
- 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-2 - SME instrument phase 2
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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.
7042 TRONDHEIM
Norway
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.