Aachen-based amber announced on August 17, 2026, it has closed a €7 million Series A round, a bet by European investors that small and medium-sized businesses will pay for AI that doesn't just answer questions but actually completes work on its own.
The round was co-led by Ventech and NRW.Venture, the venture arm of a German state development bank, bringing amber's total funding to €9.1 million since spinning out of RWTH Aachen University in 2021. The company plans to expand first into the Benelux countries, then the Nordics, while building out a team that currently sits between 50 and 60 people across offices in Aachen, Cologne, and Tirana.
The financing comes as enterprise software vendors race to move beyond chatbots that retrieve information toward systems that take action. SAP introduced its "Autonomous Enterprise" framework in May at its annual Sapphire conference. Glean, a U.S.-based competitor building similar search-and-execution tools, raised $150 million at a $7.2 billion valuation in June, according to TechCrunch.
amber's pitch centers on what it calls an "AI Data Layer" that structures information from more than 120 integrations before queries ever reach large language models. The approach cuts token costs by up to 60 percent, the company said, while letting AI agents pull data from Microsoft 365, Salesforce, Jira, HubSpot, and niche German platforms like DATEV, an accounting system widely used by SMEs.
The startup claims more than 400 enterprise customers, including chocolate maker Ritter Sport and industrial firms like Scheidt & Bachmann. Its platform processes over 10 million monthly chats for more than 100,000 active users, according to the company's announcement.
"AI's next evolution is not another chatbot," CEO and co-founder Philipp Reißel said in the release. "The future belongs to systems that understand business context, recognize user intent and autonomously complete work."
That shift from assistant to agent is deliberate. Bastian Maiworm, amber's co-founder and chief revenue officer, framed the distinction as fundamental to the company's strategy. "Today's AI tools are still waiting for users to ask the right questions," he said. "We have been building an AI platform that understands what's happening inside a company, recognizes what needs to be done and proactively supports employees by executing tasks autonomously."
The company leans heavily into its European identity. All data stays hosted in the EU, and amber holds ISO 27001 certification to meet GDPR requirements. It markets the absence of U.S. shareholders as a hedge against the U.S. Cloud Act, which can compel American companies to hand over data stored abroad. "What's happening at amber is decided by European minds," Maiworm told Tech Funding News in an August interview.
Whether that data-sovereignty positioning resonates widely enough to sustain growth remains an open question, especially given the fundraising disparity between European and U.S.-based enterprise AI companies.
Ventech, which led amber's seed round earlier this year, doubled down for the Series A. Nicolas Barthalon, a partner at the firm, said the founders have "built a solid system of context that now underpins the reliable management of agents and their context across hundreds of customers in parallel."
NRW.Venture, meanwhile, joined as co-lead through a €200 million EU Tech&Scale fund launched in February. The fund, backed by InvestEU, can write checks up to €30 million per financing. "amber tackles a specific challenge for small and medium-sized enterprises by making existing knowledge directly accessible and usable," said Johanna Antonie Tjaden-Schulte, a member of NRW.BANK's managing board.
The company said it has already secured initial customers in the Benelux region and will deploy the Series A capital to hire across sales, engineering, and customer success. amber offers a 30-day free trial without requiring a credit card.
What happens next likely depends on how quickly European mid-market companies adopt tools that move from passive search to active execution—and whether amber can scale fast enough to stay ahead of both venture-backed U.S. competitors and legacy enterprise software giants building similar capabilities.
