Aachen-based artificial intelligence company amber has raised €7 million in Series A funding, securing fresh capital to expand across Europe and advance a platform designed to move business AI beyond search and chat-based assistance toward autonomous execution.

The round was co-led by Ventech and NRW.Venture, the venture capital fund of NRW.BANK. Ventech, amber’s first institutional investor, is backing the company again just 18 months after its initial investment, giving the funding round a notable vote of continued confidence from an existing investor.

Founded in 2021 by Bastian Maiworm, Philipp Reißel and Igli Manaj, amber develops technology intended to help small and medium-sized businesses make internal organisational knowledge accessible and usable while maintaining GDPR compliance.

Rather than positioning itself simply as another generative AI assistant, the company is building around a broader problem inside businesses: information is often scattered across emails, documents, cloud applications and internal systems.

That fragmentation can leave AI systems without enough organisational context to produce dependable answers or carry out more complex work.

amber’s approach is centred on what it calls its proprietary AI Data Layer, which is designed to connect, structure and contextualise business information before large language models are applied.

The company says this structure allows AI systems to work with more relevant context instead of processing large volumes of unstructured information. According to amber, that can improve the reliability of answers and insights while also increasing token efficiency.

The platform brings together traditional search, generative AI, assistant capabilities and automation. amber says its longer-term aim is to develop systems capable of understanding what is happening inside a company, recognising user intent and carrying out workflows across enterprise data.

“Today’s AI tools are still waiting for users to ask the right questions. Our vision is fundamentally different,” said Bastian Maiworm, co-founder and CRO of amber.

“We have been building an AI platform that understands what’s happening inside a company, recognises what needs to be done and proactively supports employees by executing tasks autonomously.”

Amber: From company knowledge to autonomous workflows

amber is also targeting another business challenge: the loss of institutional knowledge when experienced employees leave an organisation.

The company says its technology can preserve and make collective company knowledge accessible by understanding business context rather than relying only on keyword-based retrieval.

Its platform is already used by organisations in manufacturing, engineering, IT consulting and consumer goods. Customers named by the company include Scheidt & Bachmann, Ritter Sport, Zentis, Schüßler-Plan, Dalli and Hailo.

For amber, the next stage is not simply about giving employees better answers. The company wants its technology to gradually take responsibility for completing work itself.

“AI’s next evolution is not another chatbot,” said Philipp Reißel, co-founder and CEO of amber.

“The future belongs to systems that understand business context, recognise user intent and autonomously complete work. That’s exactly what we’re building with amber and this funding allows us to accelerate that vision and bring it to businesses across Europe.”

€7 million to support European expansion

amber plans to use the Series A funding to accelerate its European expansion, beginning with the Benelux region, where it has already secured its first customers.

Part of the investment will also go toward further development of its AI Data Layer, deeper integrations with business systems and efforts to increase AI adoption among SMEs.

The company plans to move its platform progressively from user-initiated workflows toward an autonomous system capable of proactively executing work.

amber currently has operations in Aachen, Cologne and Tirana, giving it a base from which to pursue its broader European growth strategy.

Ventech Partner Nicolas Barthalon said the investor believes amber has focused early on several challenges emerging around enterprise AI, including preserving data ownership, improving the usefulness of general-purpose AI models and helping organisations manage growing numbers of agents, skills and workflows.

He added that amber’s architecture has created what he described as a system of context capable of supporting agents and their information requirements across hundreds of customers in parallel.

For amber, the new funding therefore represents more than additional capital for geographical expansion. It also finances a transition in how the company believes businesses will use AI: away from systems that wait for an employee to ask a question and toward software that can interpret organisational context and act on it.

Whether autonomous business AI develops at that pace will ultimately depend on how effectively companies can connect fragmented information and trust AI systems with increasingly complex workflows. amber is betting that solving the data and context layer first will put it in a stronger position as that shift unfolds.

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