[Funding alert] Berlin-based Scavenger AI Secures €1.1 Million in Pre-Seed Funding

Businesses are producing an increasing amount of data, but often lack the time and resources—above all—to turn this data into actionable advice. This further complicates the decision-making process for businesses in situations where they lack the required knowledge.

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For this reason, Scavenger AI created three exclusive AI solutions that operate together in a workflow to quickly resolve issues for businesses.

Maximilian Hahnenkamp, Felix Beissel, founders of Scavenger AI, said: “We are particularly pleased to have such renowned investors on board who support us in our mission to show companies the best possible decision under any circumstances based on their data.”

The firm, which had previously received support from Cataligent, plans to use the additional funds to grow its workforce, build the necessary technology infrastructure, and release the product into the market.

Kilian von Berlichingen, Senior Investment Manager at HTGF, commented: “AI is making businesses more efficient, and Scavenger AI is on the right track to revolutionise how companies can get unbiased insights from their data. I was especially convinced by the technical solution behind it, which already creates great value add for their customer base.”

Carina Roth, Investment Manager at Calm/Storm, added: “We have invested first and foremost in a strong, young and ambitious team, led by Maximilian and Felix, who know what it takes to win! With Scavenger AI, they are on a mission to revolutionise the way companies think and act. The AI technology they have developed will make it easier for companies to solve daily business challenges faster and easier and to develop action-oriented and data-driven insights more efficiently.”

About Scavenger AI

Scavenger AI, a 2023 startup, creates three in-house AI tools that work together to create a workflow that enables businesses to use data to make the best decision possible in any situation.

The programme automatically cleans the data, does statistical analysis based on the user's inquiries, and outputs the results in an easy-to-understand format. Ultimately, industry data is added to the mathematical results, which are then displayed as a dashboard.