Rivia has built a unified data engine that integrates thousands of heterogeneous clinical trial data files in real time and applies trial-specific scientific logic via a proprietary library of reusable configurations. Its platform harmonizes data into operational review workflows and is launching embedded AI agents—starting with Spark, which converts natural language into publication-grade clinical visualizations—with additional agents for proactive data quality monitoring and oversight. The company says its ontology library compounds with each trial, improving performance over time, and that customers have run global trials on the platform producing measurable operational benefits. Rivia positions its stack as an interoperability layer above incumbent systems like Veeva and Medidata, aimed at reducing manual stitching of sources and accelerating decision-making. Near-term plans include scaling the team across Zurich and Boston and deploying next-generation agents to support adaptive and decentralized trial workflows, with the stated ambition of substantially lowering trial costs and speeding insights.

Total raised

$18M

Funding rounds

2

Latest round

Series A

Latest activity

Mar 2026