Project description
Make intelligent decisions with time-series data
Time-series data is all around us. Our body for example, generates this data which can be used to find and predict illnesses. Industry 4.0. uses this data for monitoring and predictive maintenance. Meteorologists analyse them to forecast. Stockbrokers study them to predict stock price. The EU-funded DEMABIS is working on a business plan to map the commercial potential of Shapelets, a software designed to empower people to make better decisions with time-series data. It is the first platform tailored for time-series analysis. It provides the latest time-series algorithms originated from academia as well as the tools data scientists and decision-makers need to make the most of data series. Shapelets can retrieve and read streams of data from sensors, network logs, web clickstreams and social media. It is the only platform that can answer ‘Have I seen this pattern before?’, allowing for true, real-time decision-making, monitoring, causal analysis, and accurate predictive analytics.
Objective
Shapelets is the first state-of-the-art Data Series Management System. A Machine Learning platform that empowers users to obtain invaluable insights from their time series data in a way that no other tool or platform in the market does.
Our innovation comes not only from a holistic and unique approach to time series data management but also from the implementation of recently discovered novel algorithms for time series data.
We are a 100% private owned company focused on R&D. We have a cohesive and highly-skilled team, where half of the employees know each other from a previous company and where leadership and management excel from a technical and business point of view. We are currently 7 people and plan to hire an average of 11 people each year to reach 52 by the end of 2023.
Our main verticals and use cases are in the following sectors: Energy, Industrial IoT, Aerospace, Automotive, Health, Sports and Financial.
The major market barrier now is to reach critical mass with Shapelets as quickly as possible — a necessity for us given the novelty behind the idea. Our investment plan for for this market opportunity involves obtaining €2M from VCs in 2019 and a another €2M from VCs in 2020. With this funding we will be able to grow our team fast enough to launch the first full and free version of our product, promote our open-source platform so it becomes a standard for time-series analysis and continue building the different industry verticals.
We project to triple our revenue to 1.4€M in 2021 and double it in 2022 and 2023. We expect to start making profits from this project by the end of 2021 and a net income is projected to reach €1.15M in 2022 as sales increase and operations become more efficient.
With this funding application we pretend to generate a feasibility study to get a grip on the R&D, technical feasibility and commercial potential of our disruptive technology in order to capture this into a business plan for scaling it 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 internet internet of things
- 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.
29005 MALAGA
Spain
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.