Our Challenge

How can we better analyze the enormous stores of medical data collected until today, and help the healthcare and insurance actors to invent better prevention, diagnosis and care systems ?

Our Technology

We develop state-of-the-art deep-learning technologies that allow to analyze a wide variety of data types (images, texts, sounds...), and create Artificial Intelligence dedicated to Healthcare and Insurance.

Our Solutions

We use our expertise of large datasets analysis from Particle Physics to help healthcare and insurance professionals extract meaningful information from their data through close partnership.

Our Challenge

Crowd image
Medical image
  • In 2008, cardiovascular diseases caused 17.3 million premature deaths. By 2030 this number will grow to 23 million. In the meantime, 5.4 million persons die every year from respiratory diseases, 5.1 million persons from diabetes, 50 million persons suffer from epilepsy and about 100 million persons may suffer from Alzheimer by 2050.
  • Today, healthcare and insurance actors have stored enormous amount of medical data, which could be already enough to have a global and comprehensive view of both the causes and the consequences of health disorders.
  • Moreover, new technologies have emerged that are able to efficiently analyze and understand the relationships between basic blocks of data in both structured (Excel and SQL-like) and un-structured (audio, text, images...) datasets.

DreamQuark envisions to help these professionals benefit from the latest advances in machine-learning to create more accurate representation of the medical datasets. Our mission is to develop the next generation of prevention, diagnosis and care systems using data-related technologies.

Our technology

  • As former particle physicists, we use our expertise of large datasets analysis and efficient algorithm design to reinvent how data analysis are performed in the healthcare and insurance sectors. We know how to deal with complex signals, and how to detect even the smallest, invisible effects. Yet, our expertise is not enough. Healthcare and insurance companies have an invaluable expertise on these medical data. Moreover, they also have the data.
  • Through close partnership and cooperation, we develop new synergies which create new opportunities to revolutionize the practise of medicine. We aim at operating a paradigm shift from care to targeted prevention.
  • We currently develop technologies related to deep neural-networks with sparse architectures that can unveil new patterns inside the input data. This sparcity allows for an higher accuracy and speed. We work to develop group invariant representation that can enable the extraction of models that can be insensitive to rotation, translation, or even distortion. This work combines our knowledge of theoretical physics and artificial intelligence. We apply these new models on structured and un-structured data, and we try to transform the initial data in order to create a perfect match between the data representation and the algorithm we want to finally use. In our framework, our goal is to combine different algorithms to take benefit of the different characteristic of these algorithms and create analyzes that can easily generalize. We embed these algorithms, first trained on specific datasets, into innovative applications for healthcare and insurance professionals or their customers.
Particle Physics Atlas detector collision
Deep Learning artwork

Our solutions

Everything starts from your data:

Images, biological samples, EEG records, time series, texts, Excel files... Whether you have structured or unstructured data we know how to deal with it. We help you to focus on what is important for you and we work to help you gather the missing data.

We learn from your data and your expertise:

We develop dqANN, a machine learning framework with technologies intended to mimic the behavior of the human brain. We build lighter architecture to extract pattern and features in your data faster and with an increased accuracy.

We help you play with your model:

Such as the human brain, our models can generate new data and help you tune parameters or explore new possibilities to see the impact on drug absorption, new product impact, extreme scenarios...

Build new strategies and products:

You can embed the models in your digital systems or in mobile applications. You can also use the model data generation abilities to explore new scenarios and build new strategies. Moreover, our skilled strategy consultants and data analysts help you develop innovative strategies and products.

DreamUp Vision, spin-off of DreamQuark

DreamQuark created DreamUp Vision to accelerate the diagnosis of retinal diseases.

The early detection of retinal diseases could prevent blindness. Machine learning engine performs a quick detection of complicated patterns in retinal images, and is capable of detection of the smallest effects that facilitates the early diagnosis of the different retina disorders. Deep-learning allows this detection with the performances of the professional ophthalmologists. We have implemented this engine both in a mobile application and an online web-application forms. Its could be used by healthcare professionals staying in permanent contact with a patient.

To know more about our project, please visit DreamUp Vision website !

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Our references

They use our solutions:

Malakoff Mederic
LLOOPP - Natural intelligence solutions
AXA Global direct

They believe in us:

Telecom ParisTech
La FrenchTech
CCI Cote d'Opale
Paris Region Lab
Institut Open Innovation

Our Unique Team

team member Nicolas Meric

Nicolas Meric, PhD

Chief Executive Officer and Founder

Nicolas is the founder of DreamQuark. After finishing a PhD in both theoretical and experimental physics with a CNRS silver medal researcher and the director of the ATLAS experiment team in Paris, where some of his work has been presented in Harvard, Nicolas decided to apply what he has learned and developed during his PhD to help healthcare professionals use data to find better diagnostic, prevention and care approaches. He helped launch in parallel an initiative to improve the connection between companies and PhD students. Nicolas is concentrated on the market develoment of our company and on the most critical aspects of our solution such as early design of new data analysis architecture. Nicolas is an entrepreneur paradoxically a scientist and a dreamer. He is passionate about digital technologies, company strategy and science. He is very active contributing to associations. Kind of daredevil, he is practising Nanbudo, a Japanese martial art, althought conciliating this with the company creation is sometimes hard.

team member Nicolas Bousson

Axel Orgogozo

Chief Technology Officier and Associate

Axel has done his PhD work at the Laboratoire de Physique theorique of the Ecole Normale Superieure of Paris in theoretical particle physics. His analytical and programming skills are an important asset to develop DreamQuark solutions and to study innovative technologies. In his free time, Axel likes to unleash his creativity through cooking, music or video game development. To keep in shape he likes to hit the ball and plays "Bask Pelota".

team-member Ekaterina Besse

Ekaterina Besse, PhD

Chief Operating Officer and Associate

Katia has a PhD degree in theoretical and experimental particle physics. During her PhD studies at the Institut de Physique Théorique of the CEA, she had high-quality training in using and developing Monte-Carlo models, in numerical simulation of hydrodynamic systems, in modelisation of the quark-gluon plasma created in heavy-ion collisions at the LHC (CERN, Geneva) and RHIC (BNL, Brookhaven) colliders, as well as in experimental analysis of particle physics data. Her ability and experience are fully used in the DreamQuark company for elaborating our models as well our numerical simulations. Big fan of Marie Curie since her childhood, she won many prizes during her study in the nuclear department of Moscow State University and graduated finally with the red diploma awarded to the best students of the promotion. She plays piano, practices dances and sports when she has some time.

team member Adrien Besse

Adrien Besse, PhD

Chief Research Officer and Associate

Former student of Ecole Normale Supérieure of Lyon, PhD in Particle Physics, Adrien is very enthusiastic about the ideas developed by the DreamQuark company. With an experience of one year postdoctoral fellowship at the Service of Physique Nucléaire of the CEA and the PhD studies at the Laboratoire de Physique Théorique of Orsay, his competences in theoretical physics as well as in mathematics are the necessary asset in the development of the artificial intelligence engine and of the statistical models that are developed by the DreamQuark company. Adrien likes all kind of sports from martial arts to basque pelota, in which he finds the inspiration for new ideas.

team member benoit schmauc

Benoît Schmauch, PhD


Former student of École Polytechnique, Benoît ranked first in the Master's degree of Theoretical Physics of Ecole Normale Supérieure. During his PhD thesis at the Institut de Physique Théorique of CEA, he had to handle both abstract mathematical objects and numerical tools. Attracted to the theoretical fundations of deep learning and its wide range of application, he is now eager to apply his mathematical background to DreamQuark's projects. His practice of rugby for 18 years gave him a strong sense of team spirit. Always willing to surpass himself, he enjoys taking part in races and completed the Paris marathon.

team member Cecile Thiakane

Cécile Thiakane

Chief Sales and Marketing Officer

Marketing and Communication Expert, Cécile earned her Msc at the Pantheon Assas University. She worked for more than 100 companies and strategic business domains such as FMCG, Banking, Luxury brand, Cosmetic, Leisure...She developed tremendous brand equity management skills and very large helicopter view to handle with strategic affairs. She is definitively a process and result oriented manager. High achiever team player and team leader, Cecile has developed strong « let do it simple » communication and presentation skills humanizing big data.


Collision Conference Las Vegas 2015
Web Summit Dublin 2014 and 2015
Deep Learning Summit Re-Work Conference San Francisco 2015

Happy Hours de l'Innovation

Sept 17, 2014

SALONCREER2014, Lille ''La santé et l'e-santé''

Salon big data paris 2015
Hacking Health Camp Strasbourg 2015
Hackathon e-sante Paris 2015
Deep Learning Summit London 2015
NVidia GPU summit 2015
IT Innovation Forum
Collision Conference Las Vegas 2015
Web Summit Dublin 2014 and 2015
Deep Learning Summit Re-Work Conference San Francisco 2015
Salon big data paris 2015
Hacking Health Camp Strasbourg 2015
Hackathon e-sante Paris 2015
Deep Learning Summit London 2015
NVidia GPU summit 2015
IT Innovation Forum


Winner of 2 prizes at the 2015 IT Innovation Forum:

Lauréat Big Data - IT Innovation Forum

Big Data

Lauréat Meilleure StartUp - IT Innovation Forum

Best Start-Up

Acceleration programs

Digital disruptors

Allianz accelerator



  • A CUSTOMER: If you are facing a challenge with the analysis of your data, and want to have a dedicated team eager to develop cutting-edge technologies in machine-learning and data analysis, and apply these technologies intelligently on your datasets, then you have found the right company ! Just send us a line to explain your problem, we will soon come back to you to help you tackle your challenge.
  • AN INVESTOR: If you want to invest in our company, we are looking for investors who share our values. Any investor eager to participate to our endeavour will be warmly welcome.
  • A TEAM MEMBER: We are looking for bright, enthusiastic and highly-motivated individuals with a passion for complex challenges. If you feel you have the grit to join our team, then contact us.


23, avenue d'Italie 75013 Paris France