Domino Data Lab and Appsilon collaborate to hasten AI to production for life sciences

Domino Data Lab, provider of the unified platform to build, scale, and govern AI-powered applications, is partnering with Appsilon, a global technology partner for life sciences companies specializing in open-source software and AI solutions for pharmaceutical and life sciences—giving joint customers a more complete path from R and Python development to validated production.

Most life sciences organizations are running AI in environments that weren't built for it. Data scientists quickly adopt new tools, but without validated infrastructure, work stalls before it ever reaches production. This partnership closes that gap, according to the companies.

“Most life sciences organizations have data scientists who are ready to build. What's missing is a validated environment that lets them get work into production,” said Ricky Mann, chief solutions officer, Domino Data Lab. “Appsilon has spent years solving that implementation problem for some of the largest pharmaceutical companies in the world. This partnership means Domino customers can tap that expertise directly inside the platform, with the governance regulators require.”

For joint customers, that means access to Appsilon's deep pharma expertise in R and Python development, SCE deployment, and SAS-to-open-source migration, all delivered in Domino with governance built in. 

“The bottleneck is infrastructure that can't keep pace with what teams are trying to build,” said Olga Mierzwa-Sulima, CEO of Appsilon. “What they need is a governed path to production that holds up in an audit. Domino is the right platform to deliver that at scale, and this partnership means Appsilon's implementation expertise is now part of what Domino customers can access.”

That commitment is reflected in capabilities that people can build with today. Domino's extensions framework lets partners embed their tools and workflows directly into the platform.

Appsilon's Axon.R is the first partner-built extension, an R package validation tool developed with the Pharmaverse Council and built on the R Validation Hub's risk-based methodology. Life sciences teams get a compliance-ready validation workflow without leaving the environment where their work lives, the companies said.

For more information about this news, visit https://domino.ai or www.appsilon.com.