AI-Enabled CRO Delivery Built for Regulated Execution
Maxis AI delivers AI-enabled CRO delivery services through supervised intelligent execution aligned to regulated environments.
Human-in-the-loop validation · Audit traceability · Governed execution
Agentic AI offerings across the CRO delivery lifecycle.
Study Startup Support
Accelerated study startup with protocol-aware IRB and site activation workflows.
Clinical Data Management
Unified clinical data review and risk-based quality management (RBQM) execution.
Statistical Programming Support
Predictive risk detection with autonomous investigation.
Operational Oversight
Real-time operational visibility across sites, studies, and portfolios.
AI-guided early-phase execution
AI-guided early-phase execution under human-in-the-loop oversight.
Unlike analytics platforms that surface risk, Maxis AI executes defined operational workflows under human-in-the-loop validation and audit traceability — improving delivery consistency while preserving governance.
Built for the leaders behind CRO delivery.
COOs / Heads of Clinical Delivery
Improve predictability and scale delivery models.
VPs of Clinical Operations
Reduce startup delays and enrollment risk.
CFOs
Improve cost control and margins.
Biometrics Leaders
Increase execution consistency across data review and submission-readiness workflows.
Where CRO delivery often slows.
CRO teams often face recurring friction points that limit predictability:
The constraint is not effort — it is scalable execution capacity and orchestration.
- Prolonged IRB drafting and revision cycles
- Fragmented oversight across EDC, CTMS, and eTMF systems
- Reactive risk detection after milestone slippage
- Escalation-heavy coordination across sponsors and sites
- Enrollment forecasting variability
What improves with AI-led delivery.
With agentic AI for CRO services, execution becomes earlier, structured, and governed:
Compressed startup timelines
Standardized IRB and submission coordination
Proactive risk signal identification
Reduced manual follow-up and escalation dependency
Consistent audit traceability across workflows
Improved milestone predictability across portfolios
Phase 1 Trial: First Patient In <100 Days. Under $400K.
A $3M+ CRO path put Phase 1 execution under runway pressure. See how a first-asset oncology biotech rebuilt delivery with RBQM ready before first patient.
<100
First patient in
45%
Faster startup
2–3x
Enrollment conversion
50%
Faster DB lock
All You Need to Know
By embedding supervised execution within startup, data review, and risk workflows—enabling earlier detection and structured intervention.
No. Maxis AI integrates as a governed execution layer within current clinical platforms.
No. It reduces coordination burden while preserving expert oversight.
Predictability in enrollment, faster response speed, and improved forecast confidence.
Yes. Throughput and predictability gains compound as complexity increases.
Explore the Agentic AI Platform.
See how AI agents are transforming study startup, data management, oversight, and regulatory submissions.