A better way to do data science

Build and deploy innovative solutions to price risk, target customers, and value assets without sacrificing security, documentation and validation.

Improve pricing, claims, reserves, and marketing models while also supporting expansion into machine vision with GPUs and IoT data insights.

Leverage data for product analytics, customer churn prediction, and lead scoring while letting engineering focus on customers, not internal tooling.

Achieve reproducibility and auditability of trial analyses, perform trial design and patient selection, and more.

Gain deeper insights into quality, collaborate with non-technical stakeholders, and accelerate research.

Accelerate model development for recommendation systems, personalization, customer churn and lifetime value analysis, market segmentation, and more.

Perform image analysis and classification, improve patient cost models, accelerate health outcomes analysis, meet 21 CFR Part 11 compliance, and more.

Create models for driving image and sensor analysis, demand prediction, reservoir analysis, and more.

Improve financial and risk models, detect fraud, meet auditing requirements.