01
Agentic Authoring
Generates Statistical Analysis Plans from protocol documents using multi-agent LLM workflows with built-in validation.
Clinical Applications
Agentic clinical applications that help life sciences teams generate, review, validate, and modernize submission-ready outputs faster with explainability, auditability, and regulatory-grade confidence.
Workflow Coverage
Applications
01
Generates Statistical Analysis Plans from protocol documents using multi-agent LLM workflows with built-in validation.
02
Produces validated tables, listings, figures, and SAPs with AI-assisted validation and R or SAS code generation.
03
Automates SAS-to-R/Python conversion with code validation, dependency mapping, and reproducible packaging.
04
Turns natural language into SQL for clinical data queries, producing validated insights with charts and reports.
05
Accelerates medical literature review with source-grounded research, structured outputs, and multiple report formats.
06
Provides validated domain-specific answers to clinical and pharmaceutical research queries using citation-based intelligence.
07
Creates compliant, brand-aligned content with built-in pre-MLR review support to improve consistency and review speed.
Operating Principles
Outputs stay traceable to source documents, datasets, prompts, and validation logic.
Review paths, assumptions, generated code, and evidence references are designed for inspection.
Workflows prioritize structured outputs, quality checks, and clinical review readiness.
Designed for controlled environments where consistency, transparency, and governance matter.
Build faster clinical applications with confidence, control, and review-ready evidence.