Case Studies

We Build Custom Data Solutions for Fortune 500 Enterprises

Client Success Stories Short Case Studies

Improving Health Scenario Modeling with Rhino for Health Policy Analysis

Bringing production-grade Shiny practices with {rhino} for complex scenario modeling.

Building a GxP Environment for Workflow Optimization

Appsilon’s solution leverages Infrastructure as Code and supports effective collaboration, standardizes processes, ensures regulatory compliance, and strengthens risk mitigation for this major pharmaceutical client.

Ivy League's Computational Biomedicine Center develops web app for protein data exploration.

Exploratory research is easy with tools like R and Shiny, but lacks highly specialized tools that are domain specific.

Enterprise Solutions

Dedicated software engineering support frees Fortune 10 Data Science team for C-level deliverables.

Data scientists with domain knowledge instead of focusing on research and providing insights to business stakeholders use their time to work on software engineering problems.

Enterprise Solutions

Launching an internal Machine Learning product in 11 weeks.

Identifying the best investment opportunities manually posed a significant challenge for the team. Even with supporting algorithms, evaluating so many individual sites was time-consuming.

We developed and launched an ETL process to unify data and automate reporting.

Our client needed to enhance their chromatography data system. Their goal was to create a unified, secure database for storing and managing data.

Cutting bacterial analysis time from 7+ days to under an hour.

Relying on external labs for bacterial analysis, which takes 7+ days, manufacturing sites must sometimes discard goods, clean up, and reproduce, causing significant financial losses and production inefficiencies.

Enterprise Solutions

6-month memory leak issue resolved in 48 hours for Fortune 500 Aerospace/Defense Company.

Memory leak issues made a business critical application not usable. The app consistently crashes after three hours in the production environment. Application was not production ready.

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