Advanced Analytics and Statistical Computing
at Enterprise Scale

We help organizations harness R for sophisticated analytics, dashboards, and decision support with production-grade rigor.

R scripts and models often stay stuck in silos, hard to deploy, scale, or govern.

Our Approach

Model Industrialization

Turn R notebooks into production services.

Pipeline Integration

Connect R outputs to BI tools and APIs.

Performance Tuning

Optimize packages and parallelize workloads.

Compliance Ready

Audit trails and version control for models.

Key Differentiators

End-to-End Expertise

From statistical modeling to deployment.

Hybrid Ecosystems

Integrate R with Python, SQL, and cloud services.

Governed Environments

Ensure reproducibility and security.

Visualization Mastery

High-quality, automated reporting at scale.

Expert Resources at INT.

A 20+ member analytics team transforming R from research tool to enterprise data engine.

  • R developers specialized in Shiny, R Markdown, and RStudio Connect deployments
  • Data scientists experienced in predictive modeling and statistical computing
  • Integration engineers connecting R outputs to APIs and BI platforms
  • Governance experts managing reproducibility, audit trails, and compliance
case study

Converted an internal R analytics pipeline into a governed, API-driven service consumed company-wide.

Featured

50%

faster delivery of analytics to stakeholders

35%

reduction in model drift incidents over six months
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