The AI startup Delicious Data aims to combat food waste with machine learning and algorithms. Its software-as-a-service solution is designed to help restaurateurs better plan their purchases. Using deep learning algorithms, the software analyzes historical customer data and combines it with other external factors such as holidays or weather data to make precise predictions for the future. Delicious Data claims to have already won over 1,000 locations in the catering and bakery sectors, achieving a reduction in food waste of around 30 percent.
With the €2.5 million in capital recently raised in the Series A, the Munich-based company aims to advance its technological development and enter new markets. To this end, the team will be expanded from the current 15 to 50 employees.
Delicious Data was founded in 2017 by Jakob Breuninger and Valentin Belser, who met while studying aerospace engineering together. Following initial seed funding in 2019, the Munich-based AI startup Financing again in early 2021 The amount of both rounds is unknown.
“820,000 meals saved”
Valentin Belser, founder of Delicious Data, says about the current financing round of Delicious Data:
"We are proud and pleased by the investors' trust in our solution. This confirms that we're on the right path. With our partners, we've already saved 820,000 meals, which corresponds to approximately 1,000 tons of CO2 equivalents. We now want to continue this trend through growth in the DACH region and beyond."
“Impact investing is more than just a trend”
And Carsten Rudolph, Managing Director of Baystartup, says:
"Impact investing is more than just a trend. In addition to a sound and scalable business model, Delicious Data makes a quantifiable contribution to sustainability. This combination has also convinced investors, enabling the team to further advance their mission."
