Key Insights

Modernized a large-scale biomedical spatial analysis platform, reducing visualization latency by over 80% and enabling secure, scalable access across research teams.

About the Client

A leading global medical research institution focused on advancing biomedical science through cutting-edge research, clinical excellence, and data-driven discovery.

The Challenge

The institution relied on a spatial analysis platform critical to biomedical research workflows. However, as usage and data volume grew, several limitations emerged.

Visualizations could take 20–30 seconds to load, deployments were isolated per laboratory, and the overall architecture made it difficult to scale, maintain, and securely share insights across teams. As research demands grew, these limitations became a bottleneck for collaboration and discovery.

Marvik’s Approach

We worked closely with internal technical teams to modernize the platform’s architecture and improve performance without disrupting ongoing research. Our approach included:

• Comprehensive code review and architectural redesign to identify performance bottlenecks and structural limitations.
• Performance optimizations using intelligent caching, data preloading strategies, and efficient data formats such as Parquet.
• Cloud-native migration to Google Cloud Run and Google Cloud Storage, enabling elastic scalability and simplified operations.
• Secure authentication and access control, ensuring centralized yet controlled access across research teams and laboratories.

The Results & Impact

• Reduced visualization load times to under 5 seconds, dramatically improving researcher productivity.
• Enabled centralized, secure access to the platform across multiple laboratories.
• Delivered an infrastructure ready to scale, supporting future growth in biomedical data and research workloads.

Researchers can now explore complex spatial datasets interactively, without technical friction slowing discovery.

Why This Matters

High-performance data platforms are essential for modern medical research. By modernizing the underlying architecture, the organization unlocked faster insight, improved collaboration and a scalable foundation to support future advances in biomedical science.