Mercury Insurance, a Leading P&C Insurer, Accelerated Model Deployment
and Collaboration using Saturn Cloud
From months to a couple of clicks for model scoring -
plus a core data engine in 4 days.
Slow Path from Notebook to Production
Models were built/tested on local machines and promoting to endpoints often took weeks to months, delaying business impact.
Fragmented Environments & Complex IT
Standing up centralized servers inside a legacy, multi-team stack was difficult—most work ran on laptops.
Collaboration Drag
Sharing code, environments, and results across data science, analytics, and contractors was cumbersome and slow.
Need for Large-Scale Risk & Fraud Analytics
Mercury needed high-throughput anomaly/fraud detection and a fast data engine tightly integrated with existing AWS & warehouse systems.
Saturn Cloud’s Self-Service ML Platform
Faster Deployment & Scoring
Python notebooks run on scalable Saturn Cloud workspaces, and a recently built model now takes only a couple of clicks to run predictions.
Result Meaningfully shorter cycle from experimentation to production scoring.
Centralized, Scalable Workspace
Data scientists and analysts run claims, fraud, and anomaly models in shared/semi-prod environments instead of on laptops.
Result Consistent environments, easier handoffs, and less ops friction.
Rapid Pipeline Integration
Saturn Cloud stood up a high-performance data engine in 4 days, now the backend core of Mercury’s anomaly detection engine.
Result Faster time-to-value and tighter fit with existing AWS + warehouse data flows.
Cost-Effective Scaling & Collaboration
Auto-scaling infrastructure and cloneable environments help speed onboarding and collaboration across teams and contractors. GPU virtual clusters are planned next to boost ML efficiency (targeting 10×+).
ResultLower overhead and clear runway for GPU-accelerated workloads.
“Saturn Cloud is our best machine learning, AI, and data partner - phenomenal service, phenomenal product, phenomenal team. I would 200% recommend Saturn Cloud to anyone who needs a similar solution.”
Chief Data & Analytics Officer, Mercury Insurance
Learn how your team can move from local notebooks to a secure, shared platform for faster deployment, simpler ops, and is GPU-ready.
