Three startups building new perspectives through artificial intelligence: machine learning & foundation models applied to medical research, predictive or generative AI for retailers and e-commerce…
Huge congratulations Scienta Lab, Differs & Finegrain !! 👏⚡
1. Scienta Lab is a deeptech company using artificial intelligence to transform pharmaceutical R&D in immunology and inflammation.
With its unique and proprietary foundation model, Scienta Lab accelerates the discovery of new therapeutic targets and the development of personalized treatments to fill the unmet medical needs of more than 400 million patients worldwide.
A deeptech startup founded in 2021, Scienta Lab is developing Eva, a multimodal foundation model to support research into immuno-inflammatory diseases.
With Eva, Scienta Lab aims to obtain new medical insights that can predict the onset and progression of immuno-inflammatory pathologies, as well as the effectiveness of medications based on individual patients.
2. Differs centralizes predictive AI solutions for retailers.
Designed for business users, our solutions enable retailers with limited data science capabilities to predict customers behavior for optimal decision making.
“Differs is at the forefront of a revolution in the retail sector, replacing Excel with AI-driven promotions. Their ability to increase margins is truly impressive. I am proud to support them in their entrepreneurial journey!”
Jean-Baptiste Rudelle, co-founder of CRITEO and president of the Galion Project
Founded in 2023, Differs specializes in predictive intelligence for the retail sector.
Its mission is to equip retailers with data-driven insights for optimal promotional strategies. Their technology maximizes margins and reduces waste by minimizing unsold inventory.
Its clients, including for example The Collective and Lamazuna, have achieved an average 15% increase in revenue.
3. Finegrain makes it dead simple to dynamically apply generative filters on top of your images, and track user engagement across all image variations.
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