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Profile Overview
- Minimum Budget
- > €50,000
- Hour Rate
- €75 - €99
- Company Size
- 11-50
- Founding Year
- 2019
About Preste
Preste is an AI engineering firm established in 2019, with roots in Paris and Kyiv. We design tailored systems for organizations and institutions working in computer vision, natural language processing (NLP), and bioengineering. Typical applications include: *CV: live event recognition, anomaly spotting, quality assurance *NLP: customer support automation with conversational agents, content creation, semantic data analysis *Bioengineering: computational studies of material behavior, molecular design and discovery, toxicology *Cross-algorithmics: recommendation engines, constrained optimization, metaheuristic methods We handle these AI programs end to end, from concept through deployment, using cutting-edge methods. Our key clients and collaborators include Idemia, Inserm, Siemens, Sciences-Po, and Fraunhofer. We are also honored to contribute to two Horizon Europe research initiatives. In addition, we support many European SMEs by offering a highly competitive value proposition. In 2023, industry peers at Hub France IA recognized Preste as a “Top European AI Startup.” If you'd like to talk about an AI project: 👉 calendly.com/preste 👉 [email protected] 👉 +33 1 73 01 94 46
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Nazar Kaminskyi September 2025
🔥🔥🔥
Google
Galyna Boiko September 2025
Google
Andriienkova Katya September 2025
Google
Jeremie Lengrais September 2025
Google
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Please note: The assignment of these data is based on estimates by Feedbax. These benefits are subject to change at any time at the discretion of the provider once it has adopted this company profile.
Frameworks
Application Platforms
- Google App Engine 100%
Artificial Intelligence
- Machine Learning 100%
Programming & Scripting
- Django 67%
- Python 33%
Please note: The assignment of these data is based on estimates by Feedbax. These benefits are subject to change at any time at the discretion of the provider once it has adopted this company profile.
























