Start-up-Check: Wie diese Start-ups KI im Mittelstand erst praxistauglich machen
Weil KI-Modelle überzeugend klingen und trotzdem falschliegen können, setzen Anbieter wie Amber auf Kontext. Das überzeugt Kunden wie Ritter Sport und bringt dem Start-up erneut Millionen.
Artificial intelligence (AI) may sound impressive, but can still lead to incorrect business decisions. This discourages companies, especially small and medium-sized enterprises, from adopting generative AI due to the fear of accepting false information and a lack of technical expertise to ensure reliable operation. Start-ups such as Amber Search and Paretos address this issue by introducing an additional context layer between company data and language models.
This layer is meant to clarify industry-specific terms, figures, and decisions, resulting in more reliable outcomes. Amber has attracted customers like Creditreform, Ritter Sport, and Zentis and has raised another seven million euros from investors. According to Bastian Maiworm, co-founder and Chief Revenue Officer of Amber Search, "58 percent of Fortune-500 companies use GenAI company-wide, while only four percent of the German medium-sized enterprises do."
Maiworm aims to bridge this gap and build trust in the technology among small and medium-sized enterprises in the German market. Amber was founded in 2021 by Bastian Maiworm, Philipp Reißel, and Igli Manaj in Aachen, where the three met during their studies at RWTH Aachen.
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