Deniz Schütz on the Campus to Capital podcast: AI in M&A and private markets
Our co-founder and CEO Deniz Schütz joined the Campus to Capital podcast for a deep dive into how data-driven analysis is changing investment decisions in M&A and private markets.
Before founding StrategyBridgeAI, Deniz worked at UniCredit and Amundi. He saw first-hand how slow, manual, and inconsistent financial analysis can get at scale. That experience is a big part of what StrategyBridgeAI was built to address.
What the conversation covers
The episode covers a lot of ground. A few of the topics worth highlighting:
From large institutions to founding a fintech. Deniz talks about his path from UniCredit and Amundi to building StrategyBridgeAI, and what working inside those institutions taught him about where the real analytical bottlenecks are.
How StrategyBridgeAI processes financial data. The platform turns millions of data points into objective analytical reports: peer group benchmarking, management forecast validation, buy-side support across M&A and private credit. The aim is to make analysis faster and less dependent on individual judgment calls.
Finding undervalued opportunities in mid-market M&A. One of the more interesting use cases discussed: how systematic data analysis helps identify companies that traditional screening methods would miss.
The rebound in M&A and the rise of private credit. Deniz shares his view on where deal activity is heading and why private credit has become one of the more important growth areas for the advisory community.
The EU AI Act and what it means in practice. For financial AI tools used in deal screening or credit assessment, the regulatory landscape is getting more specific. The episode covers what that actually means for how tools like StrategyBridgeAI are built and used.
Team and scaling. Deniz also talks about building the team in Munich, closing an oversubscribed seven-figure pre-seed round, and what he looks for when hiring for a company at this stage.
One thing that stood out
A theme that runs through the whole conversation: AI does not replace the analyst, it changes what the analyst spends time on. Less time on data gathering and formatting, more time on interpretation and judgment. That shift has real implications for how advisory teams are structured and what skills matter going forward.
Worth a listen for anyone working in M&A, private equity, or financial advisory who wants a grounded take on where AI fits in.
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