Vienna-based startup removes technical barriers to business intelligence, enabling natural language data queries for companies of all sizes
Scavenger AI, the Austrian data analytics startup founded in 2023, has launched its first publicly accessible demo version, marking a significant step towards democratising data-driven decision-making across organisations. The platform aims to break down traditional barriers that have long confined advanced data analysis to specialised BI teams and technical experts.
The demo allows users to experience firsthand how natural language queries can unlock insights from complex datasets without requiring technical expertise. By simulating the role of a manager at an international toy company, users can explore realistic business scenarios using sample data to answer critical questions like identifying top-performing sales representatives, discovering product cross-selling opportunities, and analyzing regional market performance.
We’ve seen the ‘wow effect’ firsthand when customers try Scavenger themselves instead of just hearing about it.
We wanted to make that experience available to everyone interested in the topic.
explain co-founders Maximilian Hahnenkamp and Felix Beissel.
Scavenger AI Team, Felix Beissel, Maximilian Hahnenkamp and Anna Katharina Lampl
Breaking Down Data Barriers
Traditional business intelligence solutions often require significant technical resources, dedicated data teams, or expensive consulting services. Scavenger AI’s approach transforms this paradigm by enabling users across departments—from sales teams to executive management—to directly query their company’s data using natural language.
The platform addresses a common pain point observed by the founders during their corporate experience: despite organisations generating vast amounts of data, most employees lack the time, resources, or technical skills to effectively leverage it for decision-making.
The public demo, available at app.scavenger-ai.com, showcases practical use cases including:
Performance analysis of sales representatives
Product bundling and cross-selling insights
Regional market penetration analysis
Customer purchase history and revenue pipeline tracking
Founders’ Complementary Expertise
The startup combines diverse expertise through its founding team. Maximilian Hahnenkamp, based in Vienna, brings operational and strategic leadership experience, having previously captained Austria’s youth national field hockey team and gained business experience through internships at Deloitte and participation in the Financial Times Challenge. His background in business law and management now drives Scavenger AI’s operations and business development.
Felix Beissel contributes deep technical expertise with his Master’s degree in Data Science from Bocconi University and professional experience at Deutsche Bahn. He leads the technology development, focusing on the AI-driven algorithms that power the platform’s data cleansing and interpretation capabilities.
From Milan Prototype to Market Reality
The idea for Scavenger AI emerged during the founders’ studies in Milan, where they developed a successful prototype that validated their vision of making data analytics accessible through natural language processing. Their shared corporate experience revealed the gap between data availability and practical utilization within organizations.
“Our vision is to democratise data analytics by enabling anyone in a company to query databases in natural language and receive clear, actionable recommendations,” the founders explain. This approach effectively automates tasks traditionally performed by consultants or specialised data analysts.
Market Positioning
By launching this public demo, Scavenger AI positions itself in the growing market for accessible business intelligence solutions. The timing aligns with increasing demand for self-service analytics tools as companies seek to become more data-driven without expanding their technical teams.
The platform’s intuitive design and natural language interface represent a shift from complex dashboard-based BI tools towards conversational analytics, potentially opening data insights to a broader range of business users.
The public demo represents Scavenger AI’s strategy to demonstrate value through hands-on experience rather than theoretical presentations, allowing potential customers and partners to directly evaluate the platform’s capabilities in realistic business scenarios.
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