Damien Forest
CEO
Praxy.ai
My organisation
About me
With over 14 years of experience in operations, marketing, and product strategies, I am a co-founder and CEO of PraxySanté, a company that develops AI solutions for healthcare professionals. PraxySanté was founded by doctors and AI engineers, and our products enable healthcare providers to save time, while improving the completeness and accuracy of patient follow-up and medical records. Our first product is a multi-channel solution, that automatically generates consultation reports and updates patient records.
Before launching PraxySanté, I delivered around 90 assignments in various industries, such as consumer goods, retail, healthcare, software, security, and logistics, with clients such as Danone, Coca-Cola, La Poste, and Schneider Electric. I helped them design and implement operational, marketing, and sales strategies that encompass market dynamics, product-market fit, go-to-market, lean processes and tools, and social impact. I also led operations and sales and marketing development in two startups, Rovenso and Castalie, where I managed innovative products from strategy to execution. I have a CSCP certification from APICS, a MTA Python certification from Microsoft, and an MBA from Collège des Ingénieurs. I am passionate about applying AI, IoT, and digital solutions to supply chain and manufacturing, and I focus on projects that help sustain or evolve the core of our societies, such as healthcare, security, and supply chain.
My organisation
Praxy.ai, founded by doctors, researchers, and engineers, has developed the first software suite based on AI applied to medical language for healthcare professionals. Our products aim to free up their time, reduce mental workload, enhance the comprehensiveness and accuracy of patient therapeutic monitoring, and accelerate medical research.
See http://video.praxy.ai for the demonstration of our medical scribe
For hospitals we also propose tailor made chatbots and phone bots solutions : HR bot, patient therapeutic education, etc.
All solutions are based on our own AI models retrained for medical language understanding, and are now used in 6 hospitals in 3 countries