Where Data Gains Meaning – and Decisions Gain Confidence
XDI harnesses autonomous intelligence to connect and interpret data across diverse R&D systems and functions. XDI expands the focus beyond isolated workflow steps to standardize meaning, context, and intent across Safety, Regulatory, Clinical, Quality, and other cross-functional teams. This shared foundation enables consistent, explainable decisions, reduces risk and misalignment, and supports confident adoption and operationalization of AI across the pharma R&D organization.
See the value of R&D IT transformation.
Unified, Explainable Decisions
XDI creates a shared semantic layer that standardizes meaning, context, and intent across R&D, making every decision consistent, auditable, and explainable.
Federated Evidence & Reasoning
By applying reasoning directly where data resides, XDI eliminates manual evidence stitching and data reconciliation—reducing delays, rework, and operational cost.
Cross‑Domain Intelligence at Scale
XDI enables true cross‑functional understanding by unifying insights across Safety, Regulatory, Clinical, Quality, Manufacturing, Medical, and Labeling teams.
Real‑Time Evidence Synthesis
XDI continuously integrates evidence from studies, RWE, safety signals, labeling, and historical precedent, accelerating readiness and early issue detection
Decision Orchestration Across Domains
XDI agents collaboratively interpret signals, apply policy and regulatory rules, analyze precedent, and assemble unified, decision‑grade recommendations.
Trusted AI Governance & Controls
With embedded governance, traceability, and compliance controls, XDI provides the trust layer required to safely scale AI in regulated environments.
System‑Agnostic, Future‑Proof Foundation
XDI acts as a unified intelligence layer across all systems and processes—without requiring data consolidation or workflow standardization.
Faster, More Confident Decisions
By aligning context, automating synthesis, and reducing friction, XDI increases decision velocity and confidence across the R&D lifecycle.
Pharma R&D is under pressure like never before.
Pharma R&D is slowed by fragmented data that forces teams to manually stitch evidence across systems—delaying assessments, increasing cost, and causing rework. As science, modalities, and real‑world evidence demands grow more complex, siloed data makes it harder to synthesize insights quickly or consistently. Meanwhile, rapid AI and technology advances are outpacing traditional processes, widening the gap between what organizations need and what current workflows can support.
To keep up, R&D teams need a connected foundation that enables rapid, aligned, cross‑functional decisions. XDI provides that foundation by creating a unified, system‑agnostic intelligence layer that standardizes meaning and context across Safety, Regulatory, Clinical, Manufacturing, Quality, and Medical teams. It eliminates manual stitching, reduces rework, ensures explainable evidence, and establishes the trust needed for responsible AI at scale—so organizations can move with speed, clarity, and confidence.
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