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Appsilon - Data & AI Solutions for Pharma & Biotech
  1. Companies
  2. appsilon.com

appsilon.com

Fast, Impactful, Compliant, Adoptable

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Case Studies

Contact Form Redesign and Reliability Enhancement

Information technology

The contact form should allow users to easily submit inquiries to the company. It needs robust error handling and logging.

JavaScript, HTML, Backend framework (e.g., Node.js, Python/Django, Ruby on Rails - to be determined)
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Modern Analytics Platform for Pharmaceutical Data Science

Medical

Unified analytics environment supporting R and Python with enterprise-grade infrastructure

Kubernetes (K8s), Terraform, AWS Cloud Infrastructure...
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Optimization and Scaling of Shiny Applications for Real-Time Decision-Making in Biomedical Research

Medical

Enterprise-grade Shiny applications integrated with Posit infrastructure for real-time analytics

R Shiny, Posit Workbench, Posit Connect...
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Development of a Robust Contact Form with Real-Time Validation and Notification System

Information technology

A responsive contact form with validation, error handling, and integrated notification system

React.js for frontend components, Node.js with Express for backend API, MongoDB for submission data storage...
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GxP-Compliant Posit Stack Modernization with Kubernetes Integration

Medical

Regulatory-compliant Posit environment with automated deployment and scalable infrastructure

Ansible, Kubernetes, Docker...
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Enterprise Data Modernization and Analytics Platform

Information technology

Enterprise-grade data platform with advanced analytics and governance features

Cloud-native architecture (AWS/GCP), Apache Spark for big data processing, Tableau/Power BI integration...
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Enterprise-Ready Healthcare Scenario Modeling Platform Enhancement

Government

Enhanced platform for healthcare scenario modeling with enterprise scalability

R/Shiny, {rhino} framework, DuckDB...
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Development of a Responsive Contact Form with Automated Submission Handling and Real-Time User Notifications

Information technology

A responsive contact form with validation, automated submission processing, and real-time status feedback.

React.js for frontend components, Node.js with Express for backend processing, MongoDB for submission data storage...
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Automated GxP Reporting and Data Synchronization System

Medical

Automated reporting platform with real-time data integrity monitoring

R Shiny, JavaScript, CSS...
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Development of Scalable Machine Learning Framework for Health Equity Analytics

Medical

Advanced analytics platform combining predictive modeling, patient clustering, and geospatial analysis

Python (Jupyter Notebooks), R/Shiny for web interface, SHAP for model interpretability...
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Development of Enhanced Health Equity Analytics Platform

Medical

Data-driven platform combining clinical and social determinants with advanced analytics

R Shiny framework, Shinyproxy deployment, OMOP Common Data Model...
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Development of Scalable R Shiny Applications with Automated Reporting and Posit Ecosystem Integration

Medical

Enterprise-grade R Shiny platform with automated reporting and compliance capabilities

R Shiny, Posit Connect, Posit Package Manager...
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Development of {teal} 1.0 Framework for Clinical Data Exploration and Reporting

Medical

Modular clinical data analysis framework with automated reporting capabilities

R, Shiny, CI/CD pipelines...
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Enterprise Data Science Platform with Multi-Team R Shiny Applications and Cross-Technology Integration

Manufacturing

Enterprise-grade analytics platform with modular application architecture and adoption tracking

R Shiny, Python, React...
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Development of Advanced Machine Learning Models for Predicting RNA-Ligand Interactions in Drug Discovery

Medical

Machine learning platform for RNA-ligand binding prediction with advanced feature engineering

Python (TensorFlow/PyTorch), Transformer architecture, 3D structural data processing tools...
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Scalable Posit Infrastructure Deployment with Package Management and R Shiny Optimization

Financial services

Automated infrastructure provisioning and standardized development workflows

Terraform, Ansible, EKS (Elastic Kubernetes Service)
Read more

appsilon.com

Fast, Impactful, Compliant, Adoptable

Appsilon is a leading technology company specializing in data science, software development, and AI-driven solutions primarily for pharmaceutical, biotech, and scientific industries. With a focus on speed, compliance, and adoptability, they help clients accelerate development, adoption, and validation of advanced technologies. Their expertise encompasses regulatory compliance, open-source transitions, interactive dashboards, and cloud platform management, making data work effectively for innovative healthcare and research organizations.

Services

Consulting for Pharma
Open Source in Clinical Trials
AI-Based Systems
Shiny Dashboards
Data Platform & Cloud Solutions
Statistical Computing Environment

Industry Expertise

Biopharmaceuticals
Biotechnology
Healthcare & Scientific Research

Why Choose Us

  • •Top 1% of software engineers ensuring high-quality delivery
  • •Strategic partner for Shiny development with the largest global portfolio
  • •Active contributions to open-source packages with over 200k downloads
  • •Deep industry expertise in pharma and biotech sectors
  • •Commitment to regulatory compliance and validation excellence

Company Overview

Appsilon stands at the forefront of digital transformation within the biopharmaceutical and biotech sectors. Renowned for their software engineering excellence and deep industry knowledge, they craft tailored solutions that blend cutting-edge AI, interactive data visualization, and robust infrastructure. Their team includes top-tier data scientists and software engineers committed to delivering high-quality, compliant, and scalable applications. With a strategic focus on regulatory standards like GxP, they support clients through open-source transitions, cloud platform setup, and custom analytics development. Beyond core technical services, Appsilon actively participates in social good initiatives, utilizing data analytics and machine learning to address climate change and biodiversity. Their collaborative approach and proven methodologies have earned them the trust of Fortune 500 clients and industry leaders worldwide.