The collaboration targets the infrastructure bottlenecks currently stalling clinical analytics. While data scientists frequently adopt modern open-source tools, the lack of validated, governance-ready environments often prevents these projects from reaching deployment. By embedding Appsilon’s specialized implementation workflows—including SAS-to-open-source migration and statistical computing support—into the Domino platform, the companies intend to streamline the transition to production.
Domino Data Lab and Appsilon Forge Alliance to Accelerate Pharma AI
Most pharmaceutical companies struggle to move AI models from experimental development into regulated production environments. A new partnership between Domino Data Lab and Appsilon aims to bridge this divide, integrating specialized R and Python implementation expertise directly into the Domino enterprise platform to satisfy stringent audit requirements.
Central to this integration is the release of Axon.R, a partner-built extension that allows teams to manage R package validation using established risk-based methodologies. According to Ricky Mann, Chief Solutions Officer at Domino Data Lab, providing a compliant environment is the missing link for organizations that have talent but lack the necessary infrastructure for scale. Olga Mierzwa-Sulima, CEO of Appsilon, noted that the partnership focuses on delivering a governed path that holds up under regulatory scrutiny, effectively allowing teams to modernize clinical analytics without sacrificing GxP compliance.
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