Clinical trial platform automating patient recruitment, data capture, and study operations
Castor operates a modular clinical trial management platform serving the full research lifecycle—from patient recruitment through data analysis. The stack is Python-heavy with ClickHouse, Kubernetes, and cloud infrastructure (GCP/Azure), while projects reveal deep investment in AI-powered workflow automation and lead enrichment pipelines. Active pain points (manual research effort, fragmented processes, complex data reporting, compliance friction) align with the product roadmap; hiring velocity is accelerating across engineering and product, suggesting Castor is scaling to handle larger, multi-country trial deployments.
Notable leadership hires: Project Lead
Castor builds a cloud-based clinical trial management platform designed as modular components—patient recruitment and engagement tools, electronic data capture (eCRF/ePRO), and study monitoring—that can operate independently or integrated. The company sells to sponsors, CROs, and study teams running patient-centered trials. Operations span the United States, Europe (Bulgaria, Belgium), and Latin America (Colombia), with a 201–500-person team founded in 2011. The platform emphasizes remote-first delivery and automation of manual trial administration.
Castor's core stack includes Python, Kubernetes, ClickHouse, Pandas, NumPy, SQL, and cloud infrastructure (GCP, Azure). Development tooling: GitHub Copilot, Git, Jira. Analytics and dashboards: Streamlit, Plotly.
Castor has active hiring in the United States, Bulgaria, Colombia, and Belgium, reflecting a distributed, multi-region engineering and operations footprint.
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