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Clinical & R&D Decision Intelligence

Reduce trial risk, time and cost — with the data your competitors don’t connect.

How do we de-risk this trial?

A live system across trial design, site selection, recruitment performance and AI-driven optimization — for portfolio teams who can’t afford a failed Phase 3.

Built for
  • Clinical operations
  • R&D portfolio teams
  • Trial design leads
  • Site management
  • Biometrics & analytics
Core decision

"How do we reduce trial risk, timeline and cost?"

50%
Average Phase 3 success rate
Industry
6.5y
Avg. trial duration
Source: TBA
40%
Sites under-recruit
Industry
AI
Adoption is now table stakes
2026+
The decision journey

How decisions get made here.

1 Step 1

Trial Intelligence

Live tracking of competing and complementary trials by indication, modality, geography.

2 Step 2

Site & Recruitment Intelligence

Site performance prediction, eligible-population mapping and recruitment bottleneck analysis.

3 Step 3

Trial Optimization

Adaptive design, decentralized trial economics and trial-delay reduction strategies.

4 Step 4

AI in Clinical Trials

AI for protocol design, site selection, dropout prediction and clinical document automation.

FAQ

Frequent questions.

What does decision intelligence change for clinical ops?

It moves teams from reactive site-management dashboards to predictive systems — flagging recruitment risk and timeline slippage before they happen.

Can you bring AI into our existing CTMS/EDC?

Yes — typical pattern is a thin AI layer on top of CTMS/EDC + external trial data with predictive scoring and alerts.

Working session

Bring one decision. We’ll show you how to answer it.

Walk us through the question your team is stuck on. In one session we’ll outline the data, model and dashboard that turns it into a defensible answer — and what shipping that system looks like.

Bring your decision