6
Oct
2026
Modicus Prime
About Modicus Prime
Categories
Meet us at
-
CPHI Milan 2026
Fiera Milano, Italy
6 Oct 2026 - 8 Oct 2026stand 8F65
-
Country/Region:United States
-
Founded:2020
-
On CPHI since:2026
-
Employees:1 - 24
Company types
Primary activities
Contact info
-
-
-
2301 West Anderson Lane, 78757, Austin, TX, United States
Products from Modicus Prime (2)
-
Product Axendia Briefing on Modicus Prime's AIMS software solution
https://axendia.com/blog/2026/08/12/building-ai-governance-while-supporting-innovation/?utm_source=Modicus_Prime&utm_medium=Social&utm_campaign=Building+AI+Governance+While+Supporting+Innovation+-+A+Modicus+Prime+Briefing+Note -
Product AI Management System Software
The AI Management System (AIMS) software ensures a continuous state of AI Audit Readiness.
Pre-built blueprints and templates for data assessments, risk analyses, validation protocols, and other critical deliverables ensuring consistency and compliance across all AI use cases and A...
Modicus Prime Resources (5)
-
Brochure Ensure a state of control across your AI systems
The AI Management System (AIMS) connects your business applications, quality systems, and Al/ML infrastructure into a unified management layer. -
Brochure AI Management System Software
ste Modicus Prime ensures pharmaceutical companiesˇ AI applications are audit-ready with the AI Management System. We safeguard regulated organizations from... -
Video Building AI Governance While Supporting Innovation
Axendia was briefed by Taylor Chartier, CEO and Mickey Landkof, VP of Revenue at Modicus Prime, on the company’s AI Management System (AIMS). Modicus Prime is a life sciences software company focused on solving one of the pharmaceutical industry’s biggest emerging challenges: scaling AI compliantly across the enterprise. -
Datasheet Are You in Control of Your AI?
Questions Every Life Science Organization Should Ask to Ensure Regulatory Compliance!
-
Video What is an AI Management System?
Just as organizations use QMS software to manage quality, they increasingly rely on AI Management Systems to manage the AI lifecycle. An AI Management System integrates with QMS and data science tooling to centralize AI inventory, validation evidence, datasets, model versions, approvals, risk assessments, change history, traceability, and lifecycle monitoring