In the food industry of today, a crucial problem persists: a lack of transparency when it comes to measuring and disclosing CO2 emissions. This issue poses significant challenges for companies seeking to address their environmental impact. Currently, the process of calculating CO2 emissions is expensive, time-consuming, and often relies on sustainability consultancy firms. Manual calculations, if not performed annually, hinder the ability to track and evaluate improvements made over time. A more efficient and effective solution is needed.

Introducing niatsu, a groundbreaking startup determined to revolutionize the way CO2 emissions are calculated in the food industry. Leveraging the power of machine learning, niatsu aims to automate the process, providing a cost-effective and time-saving alternative for businesses. By addressing the key pillars of the problem, niatsu's solution offers a transformative approach to transparency and sustainability.