Valeria Kebets
Manager, Machine Learning Projects
AI adoption team
Our AI adoption team helps your team leverage AI technologies responsibly and effectively through robust, adaptive and human centered tools informed by the latest research.
We collaborate with leading researchers and domain experts to tackle complex problems with innovative AI applications.
We strive to engineer solutions that address technical challenges and contribute positively to society. We leverage social science methods to question the environmental and social impacts of our decisions so that our products contribute to the greater good.
Our team
Our diverse team of engineers and social scientists collaborate at every stage of the process to develop AI systems that are ethical and responsible.
Our expertise spans advanced machine learning and deep learning techniques on various data types including text, images and time series. We prioritize the use of open-source technologies, ensuring transparency and accessibility in our work.
Meaghan Wester
Responsible AI Coordinator
Prisca Rakotomanga
Senior AI Engineer
Shubhang Khattar
Machine Learning Operations Developer
Current research assistants
Akinlolu Oluwabusayo Ojo
Alejandra Zambrano
Inés Gonzalez Pepe
Shariq Anwar
Past research assistants
- Reza Davari
- Aathira Dineshan
- Vaibhav Singh
- Nelson Filipe Costa
- Nisarg Shah
- Maher Dissem
- Ons Abderrahim
Responsible AI
Our interdisciplinary team includes a Responsible AI coordinator who actively participates in every stage of the process, from the inception of an idea through to its deployment.
We follow best practices to ensure transparency and accountability such as data sheets and model cards. This dynamic strategy acknowledges how data collection, model training and deployment affect the real-world impact of AI technologies.
A responsible approach through each step
- 1 Idea
- 2 Conception
- 3 Data
- 4 Training
- 5 Validation
- 6 Deployment
- 7 Audit
Our service offer
We work closely with our clients to unde