Datastart

Datastart is a Norwegian initiative aimed at fostering innovation and entrepreneurship in the data-driven economy. Launched in 2016, it is a collaboration between the Norwegian government, industry leaders, and research institutions to promote the use of data as a strategic resource. The program focuses on supporting startups, scale-ups, and established businesses in leveraging data science, artificial intelligence, and big data technologies to create value and solve complex challenges.

The core mission of Datastart is to accelerate the adoption of data-driven solutions across various sectors, including healthcare, energy, agriculture, and public services. By providing access to expertise, funding, and networking opportunities, Datastart helps participants develop scalable business models and innovative products. The initiative also emphasizes ethical data practices, ensuring compliance with privacy regulations such as the General Data Protection Regulation (GDPR).

Datastart operates through a network of regional hubs and partnerships with accelerators, universities, and corporate partners. These collaborations enable participants to access mentorship, training programs, and pilot projects with industry leaders. The program targets both domestic and international entrepreneurs, encouraging cross-border collaboration to drive economic growth and technological advancement.

Key activities include workshops on data literacy, hackathons, and pitch competitions that showcase promising startups. Datastart also supports research projects that explore the intersection of data science and societal challenges, such as climate change and digital inclusion. By bridging the gap between theory and practical application, the initiative aims to position Norway as a leader in the global data economy.

Funded by public and private sources, Datastart remains committed to sustainable development, ensuring that data innovation contributes to long-term economic and social benefits. Its holistic approach—combining education, incubation, and industry engagement—makes it a model for data-driven entrepreneurship programs worldwide.