Project Study | ProxDeal | AI Agents for M&A researchBeta

We build the AI-native intelligence layer for private markets. Bootstrapped, profi table and market-defining. ProxDeal is the most precise deal origination tool for DACH. As of mid-2026, we own the deepest DACH private market dataset in the world – scraped in-house from scratch using thousands of agents. We are looking for project students capable of shipping production systems at the intersection of M&A, Data, and AI Engineering. | What you'll build ● The agentic infrastructure that lets AI reason over real private market data: MCP services, distributed pipelines, LLM-powered company intelligence ● Deal fl ow out of unstructured noise: 10M+ documents, M&A signals, fi nancial data, transaction news, registry fi lings, cleaned & classifi ed ● The full stack if you have the range, from data pipelines to the Next.js interfaces PE professionals use to make investment decisions | Who you are ● TUM BWL with CS focus and proven coding experience ● You've built things outside of coursework, probably several ● You ship proactively, don't wait to be told and communicate clearly ● Your shipping speed has 4x'ed since you became an AI-enabled coder ● You think about how users actually behave, not how they're supposed to ● You work harder than 90% of your peers, because the problem pulls you. | What you get ● Real ownership over entire pipelines from day one, not just tickets. ● Direct access to the founders who built this fi rm from nothing. ● A front-row seat to how a high-conviction B2B SaaS is built.