- IT und Kommunikation
- Wachstumsphase
- SaaS
- B2B
- 2021
-
51-100 Mitarbeiter
- Existiert
- Aachen, DE
- Login required
- ambeRoad Tech GmbH
-
Nordrhein-Westfalen
Über amber
amber was born in 2020 from a simple observation: Companies possess a vast amount of knowledge—in SharePoint, Confluence, on network drives, in tickets, and in project folders. But no one can find it in time. That’s exactly where we started, developing an AI search engine that makes all relevant data sources searchable: semantically, in multiple languages, and while consistently respecting existing access rights. In 2021, we launched as a B2B startup.
From Search to Platform
The search tool evolved into a comprehensive business AI platform. In 2023, we won the DB mindbox pitch competition for automating customer dialogs with generative AI. In the years that followed, we added an AI assistant that provides answers from internal sources with source references and rights verification, as well as AI agents for automating recurring tasks and workflows. Today, amber has over 400 successful implementations to its credit—primarily in industrial SMEs, mechanical engineering, and technology-driven industries.
Our Mission
To make the entire company’s knowledge accessible and provide employees with the right answer for their work at any time.
Our Vision: To be Europe’s business AI and bring the web search experience to every company. What is taken for granted in our personal lives—asking a question and getting a good answer in seconds—should also be the standard in the workplace.
Über das Produkt
Answers Instead of Search Results
amber searches all of a company’s relevant data sources—from SharePoint and Confluence to network drives—and delivers not just links, but clear answers with proof of origin. Every statement can be traced back to its source. This provides the traceability that, in a corporate context, makes the difference between “interesting” and “actionable.”
Security as a Foundation, Not an Afterthought
amber is developed and hosted in Europe, is GDPR-compliant, and ISO 27001-certified. A key factor here is permission awareness: existing access rights are consistently respected. No one suddenly sees more than they’re authorized to see because of AI. For IT and compliance managers, this is precisely the prerequisite for rolling out generative AI company-wide in the first place.
Deeply Integrated, Not Just Tacked On
amber operates where the actual work happens—within our customers’ existing systems. No data silos, no parallel worlds, no time-consuming pre-training on company data. The platform combines AI search, AI assistant, and AI agents into a cohesive whole: first find, then understand, then automate.
Quick to Get Started
Enterprise AI rarely fails because of the technology; it often fails during implementation. amber is ready for use in hours rather than months—delivering added value without a major IT project. The user interface is modeled after what people are familiar with from web search, which is why it’s intuitive.
Über das Team
Bist du Teil dieses Teams?About Our Team: Three Founders, One Question. Behind amber are Philipp Reißel (CEO), Igli Manaj (CTO), and Bastian Maiworm (CRO). We met in Aachen’s tech and research community, where industry and applied AI research go hand in hand. The question of why corporate knowledge is so hard to find led to a product in 2020 and a company in 2021.
Who Does What
Philipp – CEO: Strategy, corporate development, growth.
Igli – CTO: Technology, product, and AI development; published the first open-source multilingual reranking LLM.
Bastian – CRO: Sales & marketing.
Why This Team
The founders have grown into an interdisciplinary team of over 80 people—ranging from AI engineering to UX to customer success. This structure was chosen deliberately: enterprise AI rarely fails because of the model itself, but rather due to integration, permissions, and adoption. Over 400 successful implementations demonstrate that we have hands-on experience with the complex data landscapes of European SMEs—and this knowledge flows directly back into the product.
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