we use state of the art AI techniques to turn unstructured alternative data into actionable intelligence to support decision makers, aid organizations, embassies, investors, entrepreneurs, and vulnerable populations.
DEMO
We work with you to design a project that perfectly meets your needs. We can focus on a particular sector, socio-demographic group, or a geographical location.
Mouhcine Toumi
CEO
Results-driven and dedicated team player with proven problem solving and leadership skills. Passionate about tech and Data for Decision. Mouhcine holds a software engineering degree from the National School of Computer Science "ENSIAS". Mouhcine identifies himself as a problem solver.
Imane Khaouja
Data Scientist
Dr. Imane Khaouja holds a Ph.D. degree in Computer science from Mohammed v University, in Rabat, Morocco. She was awarded the Google PhD Fellowship in 2018. Using AI to extract meaningful insights from unstructured data, she is passionate about data-driven solutions.
Faouzi Boukhriss
Senior researcher and expert in human and social sciences
Dr. Faouzi Boukhriss is a senior researcher and expert in human and social sciences. He is the vice dean of the Faculty of Ibn Tofail for human and social sciences. He holds a Phd in Sociology. He has published books and articles in his fields of work : civil society, gender, education, and the city.
Nominated as best and most innovative digital solution from Morocco by World Summit Awards, a global initiative within the framework of the United Nations World Summit on the Information Society.
Selected by Orange Corners, a program of the Dutch Embassy.
Winner of Innov Idea by Caisse Centrale de Garantie
[1] Enquête de collecte des indicateurs TIC auprès des ménages et des individus au niveau national au titre de l’année 2018. Agence Nationale de Réglementation des Télécommunication (ANRT), Juillet 2019 https://www.anrt.ma/sites/default/files/publications/enquete-tic-2018.pdf
Many international organizations & large companies around the world use intelligence derived from Internet sources for decision making.
No, such approaches are complementary to surveys. They offer the advantage that they are real-time and scalable. They also collect some types of information that are not easily collected through survey.
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