Nobody ever said, ‘bring back the minipreps.’ Yet science still has them—endless drafts, word counts, and spreadsheets on repeat.

Abstracts are short, painful, and always due yesterday, which makes them the perfect low-hanging fruit to test workflows and tools. So I built v1 of the Savvyn Abstract Builder: a Landbot–Zapier–Airtable–ChatGPT workflow that turns shorthand notes into structured drafts.

In healthcare and biotech, the teams that win clean their data first, then apply AI tuned for science.

What Adobe built for digital transformation applies just as well to life sciences. In this post, I break down the DDOM framework—and how we help biotech, diagnostics, and medtech teams apply it to bring alignment and real results.

Lasers, AI, and promises that outpace infrastructure—sound familiar? In health tech, big visions often race ahead of the systems and data needed to support them. This post breaks down why that happens, what to watch for, and how to build what your story actually promises.

Most teams using AI are just running prompts. At Savvyn, we’re building agent-driven systems that scale real domain expertise—because in life sciences, that will be the foundation of the future.

Doing too much with too little? Your team’s not broken—your systems are. Here’s how we help.

Cutting inefficiency, scaling expertise, and leveraging AI to focus on what truly matters.