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Ageirein

Unified clinical data analytics with R, SAS, and Python in a GxP-compliant environment for biotech and pharma.

Solution by Atorus Research
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Overview

Ageirein is an integrated clinical data analytics platform developed by Atorus Research, designed for small-to-midsize biotechs and pharmaceutical companies. It provides a unified, validated environment for clinical trial data workflows, supporting R, SAS, Python, and open-source tools within a single platform that prioritizes GxP compliance, cross-functional collaboration, and rapid deployment.

The platform is described as multilingual, combining multiple programming languages and analytics tools in one validated space. It targets data management teams, statistical programmers, clinical operations groups, and IT and infrastructure professionals who need speed, compliance, and clarity across clinical data processes.

Spring 2026 Release — New Capabilities

  • Portal: A single, secure login that gives teams access to R, Python, SAS, and Shiny apps without managing separate credentials or switching between systems.
  • Projects: Structured reporting environments that can be set up in minutes, with permissions, audit trails, and compliance built in from the start.
  • Flow: Automates execution order for interdependent programs, removing manual coordination and reducing error-prone sequencing.
  • Dynamic Scaling: Kubernetes-based infrastructure that scales resources up during peak activity and down when idle, avoiding bottlenecks and wasted capacity.
  • AI Within Your Compliance Boundary: AWS Bedrock-based AI assistance that keeps clinical data secure and private while accelerating workflows.

Core Platform Capabilities

  • Multilingual, unified ecosystem combining R, SAS, and open-source tools in one validated environment.
  • Rapid deployment that does not require a major infrastructure overhaul.
  • Flexible integration of data from multiple sources into dashboards and reports.
  • Integrated open-source analytics dashboards using tools such as Posit and Shiny apps for interactive visualization and analysis.
  • Support for generating exploratory dashboards and submission-ready outputs in a collaborative environment.
  • Centralized data access via Portal for statistical programming and statistics teams.
  • Unified data access for PK, Safety, RBQM, and Biomarkers teams within clinical operations.

Built-in GxP Compliance

  • Powered by OpenVal®, a platform for package validation in regulated environments.
  • Pre-validated environments for SAS, R, and Python, removing the need for teams to manage their own validation.
  • Built-in validation processes designed to meet regulatory standards.
  • Simplified compliance management intended to reduce operational risk.
  • AWS Bedrock-based AI assistance operates within the compliance boundary, keeping clinical data secure and private.

Role-Specific Features

  • Data Management: Turnkey platform leveraging trusted partner technologies, with intuitive visualization and faster insights.
  • Statistical Programming and Statistics: Modular multilingual statistical computing environment with centralized data access; projects spin up in minutes and Flow automates program execution to reduce setup and compliance effort.
  • Clinical Operations: Unified data access for PK, Safety, RBQM, and Biomarkers teams, with tools aimed at faster discoveries.
  • IT, Infrastructure, and Governance: Modular platform that scales with the organization, Kubernetes-based dynamic scaling, and a design intended to adopt emerging technology and open-source innovation.

Ageirein comes pre-configured with a curated set of packages, tools, and applications tailored to clinical analytics. New functionality is added on an ongoing basis based on user feedback and industry developments. The platform is cloud-hosted and integrates with AWS infrastructure, including AWS Bedrock for AI capabilities.

Meta

Domain
Clinical & Regulatory Data Standards
Subdomain
Clinical Data Analytics & Visualisation
Software type(s)
Analytical Platform
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
PharmaBiotechCRO
Development stage(s)
Clinical
Target user(s)
Bioinformatician / Computational ScientistClinical / Diagnostic ProfessionalIT / Systems Admin / Data Engineer
Compliance standard(s)
21 CFR Part 11GxP
Tag(s)
Uses AI