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Scaling AI Through Pharma’s Bottlenecks: Martin Keller, Acodis (EP#576)

Dela

This episode is part of the⁠⁠ Swisspreneur Scale-up Circle ⁠⁠content, our curated community of Swiss Series A + founders and operators where you can get operator grade insight.


Episode description:

Martin Keller is the founder and CEO of Acodis, a Swiss scale-up helping life sciences companies turn document-heavy processes into structured, usable data. What started with a mountaineering app idea and a pile of PDFs eventually became a company working with global pharma players on one of their most persistent problems: making complex documents understandable for machines.

In this Scaleup Circle episode, Martin talks about the long path from a broad data extraction idea to a much sharper focus on pharma and life sciences. He explains why regulated industries need more than a generic AI solution, how Acodis narrowed its market over time and why go-to-market scaling looks very different when sales cycles can take more than a year.

The conversation also goes into the founder side of scaling. Martin shares what he learned about timing, focus, VC money, and keeping a founding team aligned over many years.It is a clear look at what it takes to build an AI company in a market where trust shapes the pace of growth, and the path to scale is rarely as clean as it looks from the outside.


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Timestamps:

  • 01:20 – What Acodis Does

  • 06:35 – Finding the Pharma Niche

  • 19:20 – Knowing Where You Are on the Journey

  • 25:54 – Scaling Go-to-Market in Pharma


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