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Democratizing Machine Learning for Big Series

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 marke... ver más

29/02/2020

GRUMPY CAT SOFTWAR...

71K€

Presupuesto del proyecto: 71K€

Líder del proyecto

GRUMPY CAT SOFTWARE Actividad principal: diseño y programación de algoritmos y desarrollo de software. código cnae: 6201. actividades accesorias: diseño, elabor...

TRL 4-5 | 175K€

Fecha límite participación Sin fecha límite de participación.

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-02-29

EIC-SMEInst-2018-2020: SME instrument

I+D

Cerrada hace 7 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

2 Participantes

GRUMPY CAT SOFTWARE

50.00K€ | Lider

FUNDICION NODULAR

1.03M€ | Participante

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Duración del proyecto: 3 meses Fecha Inicio: 2019-11-13
Fecha Fin: 2020-02-29

Líder del proyecto

GRUMPY CAT SOFTWARE Actividad principal: diseño y programación de algoritmos y desarrollo de software. código cnae: 6201. actividades accesorias: diseño, elabor...

TRL 4-5 | 175K€

Presupuesto del proyecto 71K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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