German AI search company amberSearch has raised €2.1 million in seed funding from Ventech, with additional contributions from angel investors. The investment aims to enhance the company’s AI-driven search engine and expand its suite of automation tools for businesses. Founded in 2021 by RWTH Aachen University alumni Bastian Maiworm, Igli Manaj, and Philipp Reißel, amberSearch has focused on improving enterprise search efficiency by enabling employees to quickly access internal company data. Its platform integrates multiple software ecosystems, including both on-premise and cloud-based systems, making data retrieval more streamlined for small and medium-sized enterprises (SMEs). The company operates in Germany, Austria, and Switzerland, serving over 200 SMEs. With this funding, amberSearch plans to strengthen its AI capabilities and broaden the adoption of its technology.
amberSearch has previously been recognized for its efforts in AI-powered search solutions, particularly in providing an alternative to US-based search technologies. The company’s approach differs from conventional enterprise search tools by integrating a wider range of platforms, including European software systems. This adaptability has been a key factor in its adoption among SMEs, particularly those prioritizing data security and regulatory compliance. The company’s focus on reducing search time and improving workflow automation has positioned it as a viable option for businesses that manage extensive corporate data.
What makes amberSearch different from other enterprise search solutions?
Many enterprise search tools are restricted to a single ecosystem, often limiting compatibility with different platforms. amberSearch addresses this by connecting multiple platforms, allowing businesses to integrate various software systems into a single AI-powered search interface. The company’s solution supports both US and European software, ensuring broader accessibility for enterprises. Additionally, it offers a plug-and-play architecture that simplifies AI adoption for companies with limited IT resources.
How does amberSearch ensure data security and compliance?
amberSearch embeds its search solutions within a company’s existing IT structure, maintaining compliance with privacy regulations while preserving internal access rights. The platform operates within a secure IT environment, ensuring confidential company data remains protected. According to co-founder and CEO Philipp Reißel, the company aims to assist SMEs, particularly in manufacturing and other data-heavy industries, in overcoming AI adoption barriers.
“amberSearch bridges this gap with a plug-and-play architecture that requires minimal IT expertise, lowering the entry barrier to AI adoption.”
Investor Nicolas Barthalon from Ventech highlighted the rapid expansion of amberSearch’s AI capabilities and its impact on SME workflows. He emphasized the company’s ability to process and organize corporate data efficiently, helping businesses utilize undocumented internal processes and staff expertise.
“In only a few months, amberSearch has already proven its ability to implement AI at a large scale, adeptly sifting through the complex web of corporate data to harness undocumented company processes and staff expertise. This has led to impressive adoption and usage within organisations, positioning amberSearch at the centre of SME’s workflows.”
With the newly acquired funding, amberSearch intends to enhance its AI-powered search engine and develop its companyGPT solution further. The company also plans to improve its custom AI Assistant to facilitate workflow automation and data management for enterprises. These advancements aim to increase efficiency by refining how employees interact with company knowledge bases.
AI-driven search and automation tools have become increasingly relevant as businesses seek to optimize internal operations. amberSearch’s integration with diverse software environments positions it as an option for companies looking to improve search functionality without overhauling existing IT infrastructures. By focusing on SMEs, particularly those that may struggle with AI integration, amberSearch provides a structured approach to enterprise search implementation. The funding will likely support further technological advancements, making AI-powered search more accessible to a broader range of businesses.