SpaceSense – Democratizing satellite imagery for Machine learning
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 usi...
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.ver más
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