Dr. Florent Costantini, ophthalmologist and founder of glasspop, 2024

heedgi (Laurent Pantanacce and Warith Harchaoui)

glasspop has developed the first product that allows patients to test their own vision. Prescribing glasses requires skill, but manufacturing them on a large scale costs only one dollar, which calls for a disruption!

👓 Ophthalmology

Using the heedgi methodology in AI, Laurent Pantanacce and I helped glasspop take on an ambitious challenge with potential impact on everyone: rethink eyeglass prescription to make it faster while maintaining impeccable clinical accuracy.

They say you can't manage what you can't measure. So, we built our AI to measure clinical comfort when giving the wrong prescription to a patient. Indeed, we put in some innovation based on the scientific literature of ophthalmology and optometry to come up with a solid, clear, and understandable KPI for the project. This approach empowered thrice training, validation and selection of our AI towards patient well-being. This work was not theoretical or isolated in an ivory tower. On the contrary, we believe in constant collaboration with experts in the field while making sure our solution is not only innovative, but also rooted in clinical reality.

The prescription required an average of 80 optical tests per patient, thanks to the medical expertise of glasspop's ophthalmologists. Our team, leveraging solid mathematical skills and inspired by Markov chains, achieved a feat by drastically reducing this number to 41 tests, thanks to the precious anonymized asset of glasspop data.

But we didn't stop there! By integrating proprietary artificial intelligence into our process, we pushed the limits even further, achieving an optimized number around 20 tests. Our support for glasspop went beyond pure innovation, contributing to every facet of the project, from marketing and scientific communication to strategic commercial negotiations. This mission illustrates the immense potential when science and medical practice are combined to benefit patients. We are confident that this rewarding adventure will redefine prescription eyewear for years to come.

Dr. Alexandre Larmagnac, head of pre-engineering at Volpi Group, 2023

heedgi (Laurent Pantanacce and Warith Harchaoui)

Volpi helps patients by improving the manufacturers instruments of in vitro diagnostics (IVD) & life sciences.

🩸 In vitro diagnostics (IVD) & life sciences

What are the potential goals and targets for Volpi with AI?
  ‣ Reduce costs thanks to AI in software within the hardware
  ‣ Amplify medical annotation efforts with a human-in-the-loop approach
  ‣ Guide and advise from R&D to production, avoiding costly pitfalls

Through the heedgi AI methodology, we focused our attention on a clinical problem and the best way to measure success: the unit of value and KPI for leading, choosing and building through our tailor-made AI for Volpi.

Acculturation, advanced technical consulting and clinical understanding were the key elements of the tailor-made program we conducted for Volpi. Our goal was to prepare Volpi for an AI fast track to customer success. The fact that our heedgi methodology contributes to a solid AI foundation at Volpi from management to technicians and salespeople, is a source of satisfaction.

Annual performance review from Jellysmack, 2022



Jellysmack helps video creators from content production and editing to social media promotion.

🛜 Promoting Video Creators on the Internet

I asked my manager, Nicolas Renard, if I could quote this sentence 👆, and he responded by saying he agrees. Thank you, Nicolas, for being not only a super manager but also for your incredible and irreplaceable replacement for the MBA course at Rennes School of Business! 🙏🙏🙏

At Jellysmack, the team brings best efforts to help the web video creation space with cool projects in computer vision and natural language processing at the service of creators around the world.

The mission is twofold :
  ‣ igniting innovation through applied research prototypes
  ‣ offering research support to other artificial intelligence/machine learning teams by providing fresh, bibliographic, and pragmatic insights

We aim at inventing and improving the secret sauces, diligently crafting code deliverables, conducting scientific and technology watch, and engaging in internal and external talks.

Proudest achievement?

The video representation project, a combination of multiple kernel learning and Nyström approximation.

We meticulously gathered and harmonized the finest video representations available from research. With the invaluable insights from our media experts, we did not only infer our own combined similarity but also engineered fixed-sized vector representations for efficient grouping, retrieval, and success prediction estimation.

Additionally, we believe we revolutionize video editing leveraging the work of our hundreds of professional editors, optimizing rush-to-edit and short conversion processes for platforms like YouTube, Facebook, Instagram and TikTok. By analyzing multiple high-level signals and devising various splitting methods, we provide suggestions to editors, ensuring a seamless and creative editing experience minimizing the time spent on tedious non-artistic tasks.

Scientifically, it’s intellectually challenging to deal with videos because this medium is multimodal: image, sound, speech, music and motion. In terms of business, these fields is much rewarding when considering the success of videos and reduced time spent to build which clearly define our pragmatic performance indicators.

Student, 2022

heedgi (Laurent Pantanacce and Warith Harchaoui)

Laurent Pantanacce and I carefully have delivered a torrefied 16-hour Executive MBA course at Rennes School of Business, titled “Artificial Intelligence for Business” since 2021.

🧑🏫 Executive MBA

This course bridges the chasm between AI academia experts and corporate managers. For managers, CxOs, and tech-savvy AI enthusiasts, the course is designed as a beacon guiding professionals through the labyrinth of AI fundamentals, project management, and real-world application avoiding pitfalls in a sustainable business.

With over 200 slides of constantly updated and tested material, we distill refined knowledge from case studies, practical examples and interactive sessions. The program, which has been rolled out more than three times, is a tapestry weaving together AI basics, challenges, cutting-edge technologies and effective strategies, all aimed at empowering participants to conduct AI projects with confidence and even subtlety for the benefit of customers and sustainable businesses.

With a Ph.D. in applied mathematics and a seasoned tech entrepreneur as instructors, the course is more than a leap of faith; it's a leap to AI mastery and business success.

Nathalie Birocheau, founder of Ircam Amplify, 2022

Warith Harchaoui

Ircam Amplify's mission is to make the very best in audio research and musical creation from IRCAM labs available to benefit markets with products.

🎶 Helping artists monetizing their content

The aim of Ircam Amplify is to blend technology, mathematics and music, creating harmonious solutions that resonate with science and music while striking a chord in the marketplace. In this mission, Ircam Amplify and I looked at maximizing profits on Spotify from our music catalogs.

This involved crafting innovative algorithms to accurately analyze, encode and price to promote old and new tracks. We leveraged the dynamics of data, guiding music lovers on a personalized journey of discovery, while taking into account the latest trends and listener success histories.

By intelligently grouping tracks and encoding them adaptively, and by leveraging Ircam's extensive research capital, we enable artificial intelligence systems to appreciate music. We have also experimented with connecting the news feed to improve suggestions.

Erwann Le Pennec, Professor at École Polytechnique and Ph.D. jury referee, 2020

Warith Harchaoui

MAP5 is the Applied Math lab of Université de Paris that hosts Warith Harchaoui studying Generative and Discriminative AI for 4 wonderful years.

🎓 Math Lab

During four life-changing years at MAP5 (2016-2020) within Université de Paris's applied math lab, under the guidance of my supervisors Charles Bouveyron, we delved into the enthralling realm of Generative and Discriminative AI. Engaging deeply with neural networks and deep learning, we repurposed these potent tools. Indeed our work included pioneering clustering techniques with GANs, adept at organizing vast datasets, such as extensive photo collections. We also explored unsupervised feature importance, revealing distinctive dataset attributes without labels.

Additionally, my academic and corporate work focused on methods to assess the reliability of automated decisions, providing a crucial statistical approach for applications requiring human oversight. This exploration merged mathematics from optimal transport and neural networks, helping us reevaluate data representation. Thanks to the warmth of MAP5 and the persistence of Oscaro, our journey modestly contributed to a field that we find immense and deeply meaningful.

Pierre-Noël Luiggi, founder of Oscaro.com, 2020

Warith Harchaoui

Oscaro.com is a European leader in e-commerce for car parts.

🚘 E-commerce for car parts

At Oscaro.com, we participated in innovative initiatives as R&D Data Scientists, seamlessly blending deep learning and artificial intelligence to craft robust solutions. Our work was pivotal in implementing cutting-edge credit card fraud detection mechanisms, significantly mitigating risks and safeguarding transactions. Concurrently, we delved into demand forecasting, utilizing deep learning to accurately predict and adeptly respond to market dynamics, thereby driving efficiency and customer satisfaction.

Credit card fraud detection was a good example of asking ourselves the right questions: at the time, companies used to count errors, our approach consisted in counting the company's money loss. All systems in AI and beyond make mistakes: our job is to handle them in the most meaningful way. Thinking this way completely modifies the way you measure algorithm performances and also the way algorithms are rewarded and thus trained. It's also beneficial for management as the whole chain of command, even without AI knowledge, now understands what is optimized: the company's money. It turns out this approach made our career much easier with companies and clients.

Our role also encompassed AI technology watch, where we diligently monitored and analyzed emerging trends, research, and companies in the AI sphere, ensuring Oscaro.com stayed ahead in the competitive landscape. This commitment to excellence was further underscored by our pursuit of a Ph.D., generously funded from September 2016 to October 2020. Balancing from academic to work environments enriched our AI points of view, both feeding the common intellectual thirst.