Case Studies

We Build Custom Data Solutions for Fortune 500 Enterprises

Client Success Stories Short Case Studies

Accelerating Clinical Trials with {teal}: Data Exploratory Apps Built in Weeks, Not Months

Learn how Appsilon R developers contribute to {teal}, an open-source Shiny framework for faster and more interactive clinical data exploration.

Production-Ready Nextflow Pipelines, Cutting Analysis Time for a Global Biopharmaceutical Leader

See how optimized Nextflow pipelines helped a global biopharma leader automate bioinformatics workflows and scale research.

Unlocking $930K Annual Savings with a Future-Proof Data Analytics Platform

Read how Appsilon helped a top 50 pharmaceutical company design a custom system for analytics in R and Python, saving the client $930,000 annually.

New Functionalities and UI for Health Equity Explorer for Boston Medical Center

Enhance population health analytics and advance health equity by harnessing comprehensive medical data with the versatility of R Shiny.

GxP Reporting Automation: from 5 Weeks to 5 Minutes

Reducing the time needed to generate Annual Product Quality Review (APQR) by 85% for a premier biopharmaceutical company's GxP compliance process.

Enterprise Solutions

Refining Elkem's Follow-Up Processes with Advanced Data Analytics

See how Appsilon assists Elkem, a top silicon-based materials producer, in monitoring processes across various production sites using Posit Connect.

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.

Improving Health Scenario Modeling with Rhino for Health Policy Analysis

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

Machine Learning for Predicting RNA-Ligand Interactions

Leveraging Advanced Machine Learning to Revolutionize RNA-Ligand Interaction Prediction for Accelerated Drug Discovery.

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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