Project description
Removing the obstacle of entry to satellite data
The fusion of space technology and AI holds immense potential across multiple sectors. However, the analysis of satellite data through AI presents significant complexity and expense. Facing this challenge, SpaceSense, a pioneering French deep-tech company led by women, is poised to revolutionise this landscape. Through the EU-funded WomenTech-EO_AI project, their combined efforts will create a platform that streamlines the data preparation process for AI analysis. This innovation is expected to simplify the intricate and costly nature of satellite data analysis, making it more accessible and affordable. SpaceSense aspires to emerge as a frontrunner in providing readily applicable satellite insights to fuel sustainable development across diverse sectors, concurrently enhancing gender diversity and expanding their workforce.
Objective
SpaceSense is a French deep-tech Space-AI company, created in 2019.
Our mission is to democratise access to intelligence from Earth observation (EO) technology by making it possible for data scientists to create applications using EO data without the need for expertise in remote-sensing nor any infrastructure investment. With us, our users build an EO product in days instead of months and at 20% of the cost.
We are building a platform to simplify end-to-end “Data preparation” for satellite imagery - AI solutions. We have released a first version of the platform earlier this year that allows a user to access different types of satellite imagery (Sentinel-1 & Sentinel-2) in an “Analysis ready data'' format, combine it with weather data, add various proprietary datasets like drone, sensor data, or other geolocated data & generate a clean feature-cube compatible with tensorflow/pytorch models to create practical solutions and at scale thanks to SpaceSense’s compute engine- a proprietary system fine-tuned to perform large scale on-demand EO data analysis on cloud. We have ongoing pilots & trials with the first release of the platform.
Through Women Tech EU, we aim to develop a core technical component of “Data preparation for AI” capabilities to help us create a clear competitive advantage to achieve product-market fit in 2024, and set up the processes for a more diverse and gender balanced workplace as we grow our team.
This will be achieved through four main tasks, detailed in the proposal:
- Data Augmentation tool for Sentinel-2 imagery
- Creation of “Solution template”
- Marketing and sales
- HR tools & processes
Jyotsna Budideti is the co-founder and CEO of the company. She has been driving the company’s vision and strategy. On a day-to-day basis she leads the product development, management of technical team, & GTM strategy of the company. Her team currently has 6 different nationalities and is composed of about 12% women, with a goal to reach 40% by 2024.
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 data science
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics autonomous robots drones
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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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HORIZON.3.2 - European innovation ecosystems
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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.
HORIZON-CSA - HORIZON Coordination and Support Actions
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIE-2022-SCALEUP-02
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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.
91230 Montgeron
France
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