For many small and medium sized businesses, the information needed to make decisions already exists somewhere inside the organisation. It may be buried in emails, cloud drives, documents, customer records or internal systems, but finding and connecting that knowledge remains difficult. German AI company amber is building technology to turn those disconnected information sources into a usable layer of business intelligence, and has now raised fresh capital to take the platform across Europe.
Fresh Funding for amber
Aachen based amber has raised €7 million in Series A funding to accelerate its European expansion and further develop its artificial intelligence platform for small and medium sized businesses.
The round was co led by existing investor Ventech and NRW.Venture, the venture capital fund of NRW.BANK.
The financing will support amber’s expansion into new European markets, beginning with the Benelux region, while also funding further development of its technology and integrations with business systems.
The company plans to strengthen its ability to help SMEs adopt AI while moving towards more autonomous workflows that can identify and execute tasks with less human intervention.
Connecting the Knowledge Inside Companies
Founded by Bastian Maiworm, Philipp Reissel and Igli Manaj, amber has developed an AI platform designed to connect information spread across an organisation.
The technology can work across emails, documents, cloud applications and internal business systems, creating a unified layer through which company knowledge can be understood and accessed.
This addresses a growing challenge for businesses adopting generative AI.
Large language models can be powerful at processing information, but their usefulness inside companies depends heavily on the quality and context of the data they can access.
When information is fragmented across dozens of systems, an AI assistant may struggle to understand how individual pieces of information relate to one another.
amber is designed to provide that missing context.
The AI Data Layer
At the centre of the platform is amber’s proprietary AI Data Layer.
The system connects information from different enterprise sources and creates a structured understanding of the underlying business context before large language models are applied.
Instead of simply searching for keywords, the platform aims to understand the relationships between documents, conversations, people, processes and other business information.
This can improve the relevance of AI generated answers while reducing the volume of unstructured information that models need to process.
The technology also addresses a problem that can become particularly costly for smaller companies: the loss of institutional knowledge when experienced employees leave or retire.
By capturing organisational knowledge across existing systems, amber aims to make important information easier for other employees to discover and use.
From Search to Autonomous Work
Employees can use amber to retrieve information that might otherwise require manually searching through files, emails and different software platforms.
The platform can support onboarding, knowledge discovery and workflows that depend heavily on internal information.
However, the company sees its longer term opportunity as something broader than an AI powered search tool.
amber wants to evolve from workflows initiated by employees towards systems capable of recognising what needs to be done and completing tasks more autonomously.
That could allow AI to move from answering questions about a business to actively helping operate it.
Expanding Across Europe
The new funding will support amber’s European growth, beginning with the Benelux region.
The company will also invest in deeper integrations with business software and continue improving its AI Data Layer.
For amber, the focus on SMEs represents an opportunity to bring advanced AI capabilities to businesses that may not have the resources or technical teams required to build complex internal AI infrastructure themselves.
Building Contextual AI for SMEs
As generative AI becomes increasingly embedded in everyday business operations, access to company specific knowledge is becoming as important as access to powerful models.
amber is betting that the next stage of enterprise AI will depend less on building another standalone chatbot and more on creating systems that understand how an organisation actually works.
With €7 million in new capital, the Aachen startup is now looking to expand that vision across Europe while developing AI systems capable of moving from simply finding information to understanding context, identifying needs and eventually taking action on behalf of businesses.
