The Acquisition Machine is a podcast for founders, investors, and M&A professionals who don’t want growth to be random. In each episode, AI generates hypothetical but highly realistic M&A stories for real companies

The Acquisition Machine
Claim This Podcastby Andreas Greilhuber
Podcast Overview
The Acquisition Machine is a podcast for founders, investors, and M&A professionals who don’t want growth to be random. In each episode, AI generates hypothetical but highly realistic M&A stories for real companies
Language
🇺🇲
Publishing Since
11/23/2025
Reach the team behind The Acquisition Machine
Verified contact details for this show aren't on file yet — sign up to get notified when they land.
Recent Episodes

December 18, 2025
Beyond Chatbot: The 70% Automation Opportunity in Hotel Tech
<p>The hospitality industry is bleeding <strong>€10 billion a year</strong> due to fragmented communication and we’ve found the company that’s going to stop the bleeding.</p><p>In this episode, we break down <a href="https://chatlyn.com/" target="_blank" rel="noopener noreferer"><strong>Chatlyn</strong></a>, the "AI Brain" for hotels that is automating 70% of guest inquiries and crushing email with a <strong>98% WhatsApp open rate</strong>. We analyze why their recent <strong>€8M Series A</strong> makes them the hottest acquisition target on the market right now.</p><p>From a <strong>3% lift in direct bookings</strong> to a massive 1,000-property rollout in under three years, we discuss why strategic buyers like <strong>Mews, Cloudbeds and Duve</strong> need to pay attention before the valuation multiples explode. Is this the "tuck-in" of the decade? </p><p>Tune in to find out.</p>

December 17, 2025
The Extinction Event: Why Legacy CAE Must Adapt or Die
<p><strong> The End of Simulation? Inside the €15M AI Revolution</strong>Is the era of traditional engineering simulation over? In this episode, we dive deep into <strong>EmmiAI</strong>, the Austrian deep-tech startup that isn't just optimizing physics simulation—it’s aiming to replace it entirely.We explore how the industry has reached an "existential inflection point," where legacy solvers and High-Performance Computing (HPC) queues are becoming obsolete bottlenecks. EmmiAI’s proprietary <strong>"Large Engineering Models" (LEMs)</strong> are rewriting the rules, leveraging AI-native physics surrogates to achieve a staggering <strong>1000x speed-up</strong> compared to traditional methods.<strong>In this episode, we cover:</strong>• <strong>The "GPT Moment" for Physics:</strong> How EmmiAI uses pre-trained engineering intelligence to turn weeks of calculation into milliseconds, effectively collapsing the boundary between CAD and CAE.• <strong>Breaking the Laws of Speed:</strong> A look at the AB-UPT architecture, capable of processing <strong>100 million+ mesh cells</strong> on a single GPU, dismantling the need for expensive HPC clusters.• <strong>The €15M Validation:</strong> Why investors poured a record-breaking €15M into this seed round (the largest in Austrian history) and why Fortune 500 clients are already signing seven-figure contracts.• <strong>The "Dream Team" Factor:</strong> We discuss the team's unique pedigree, including Co-Founder & Chief Scientist <strong>Johannes Brandstetter</strong>, who previously co-architected "Aurora," the world's first AI foundation model for weather forecasting.• <strong>The M&A Scramble:</strong> Why incumbents like Ansys, Siemens, and Hexagon face a "strategic imperative" to acquire or adapt before they are commoditized by this technology.Join us as we analyze whether EmmiAI is simply a faster tool, or the "extinction event" for legacy simulation that the market has been waiting for.<strong>Connect with EmmiAI:</strong> <a href="https://www.emmi.ai/" target="_blank" rel="noopener noreferer">https://www.emmi.ai/ </a>• <strong>Dennis Just (Co-Founder & CEO):</strong> <a href="https://www.google.com/url?sa=E&q=http%3A%2F%2Fwww.linkedin.com%2Fin%2Fdennisjust" target="_blank">http://www.linkedin.com/in/dennisjust</a>• <strong>Miks Mikelsons (Co-Founder & COO):</strong> <a href="https://www.google.com/url?sa=E&q=http%3A%2F%2Fwww.linkedin.com%2Fin%2Fmiks-mikelsons-b0a42a7" target="_blank">http://www.linkedin.com/in/miks-mikelsons-b0a42a7</a></p>

December 16, 2025
The Deal is Dead (You Just Don't Know It Yet)
<p><strong>70% of M&A deal failures aren't bad luck</strong>, they are caused by risks that were publicly visible before the contract was ever signed. The problem? </p><p><strong>Traditional due diligence lets the seller control the narrative</strong> while you passively review the data room. This episode introduces "<strong>Signal Engineering,</strong>" a disciplined practice that moves beyond basic research into military-grade intelligence architecture. </p><p>We explore <strong>how to invert the information asymmetry</strong>, spotting the "weak signals" of failure up to 18 months before they materialize. Stop trusting the disclosure model and start hunting for the evidence that proves the deal is dead before you lose millions.</p>
12 total episodes available
Deep-dive analytics for The Acquisition Machine
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is The Acquisition Machine?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.
