Maxis AI Email Format

Software DevelopmentNew Jersey, United States51-200 Employees

Maxis AI (formerly MaxisIT) is redefining clinical development through the introduction of an AI Workforce for Clinical Trials - designed to think and built to act.

With over two decades of experience in the pharmaceutical and life sciences industry, Maxis AI enables sponsors, CROs, and site networks to address a fundamental constraint in clinical trials: execution capacity. While digital systems have improved visibility, the resolution of operational work remains manual, resource-intensive, and difficult to scale.

Maxis AI introduces a supervised execution layer that operates across clinical workflows, enabling structured operational work to be performed with consistency, traceability, and governance. The AI Workforce executes defined workflows across study startup, enrollment operations, clinical data management, statistical programming, medical writing, and governed risk oversight & resolution.

Each workflow operates within defined boundaries, under human-in-the-loop supervision, with validation checkpoints and audit traceability. This ensures execution remains aligned with regulatory expectations and quality standards.

Unlike analytics platforms or isolated automation tools, Maxis delivers execution - not just insight. The platform integrates into existing clinical systems, enabling organizations to increase throughput without disrupting current infrastructure.

Built for regulated environments, the AI Workforce model aligns with GxP, HIPAA, and 21 CFR Part 11 requirements, reinforcing compliance, data governance, and inspection readiness.

Validated across more than 3,300 clinical trials, Maxis AI helps organizations reduce repetitive workload, improve consistency, and enhance timeline predictability - without scaling cost linearly with headcount.

Headquartered in Edison, NJ, Maxis AI combines deep domain expertise with a governed execution model to help life sciences organizations deliver therapies faster, with greater consistency and confidence.

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