Clinical Solutions

Agentic AI that turns months of manual feasibility work into real-time, data-driven site selection decisions.

ClinSite uses multi-agent AI to process CTMS, ClinicalTrials.gov, Citeline, and IRB data, delivering real-time chart-driven answers to the most critical study feasibility and site selection questions across therapeutic areas.

GenAI-driven identification of confirmed, suspected, and look-alike patients from unstructured clinical notes at scale LUCCID processes physician notes via LLM to extract disease-specific biomarkers, classify patients (confirmed / suspected / look-alike), and link them to treating HCPs, all at batch scale.

Automated I/E criteria evaluation from clinical narratives to accelerate site activation LUCCID interprets I/E criteria from the protocol, parses patient clinical narratives, and generates a structured eligibility score with rationale for every patient evaluated.

LUCCID uses client-hosted LLMs to parse unstructured clinical documents and extract predefined structured concepts, ready for EDC integration or AI/ML pipelines to run advanced analytics.

Rapid CSR ingests Protocol, TLFs, SAP, and mapping specs to generate a well-structured, ICH-E3-aligned first draft in editable MS-Word, combining LLM reasoning with medical writer review.

A GenAI dashboard that lets clinical teams converse with live trial data. Charts cross-filter on a click, an executive summary narrates the current view, and an assistant answers plain-English questions grounded in what is on screen.

LUCCID processes scanned PDFs, Excel files, and images using OCR and LLM-based extraction, classifying analytes, units, ranges, demographics, and dates into a CDR-ready dataset.

An AI-powered Clinical Research Associate support for site monitoring & compliance The GenAI CRA Assistant leverages LLMs to automate visit report generation, real-time protocol deviation flagging, and cross-system data synthesis, enabling CRAs to focus on quality oversight.

• Builds Rave EDC design specification right from protocol using AI agents
• From clinical protocol PDF to Medidata Rave ALS in minutes
• ProtoRave ingests a clinical protocol PDF, parses study objectives, visit schedules, and data domains, and generates a Medidata Rave ALS in minutes.

Upload Protocol, auto-draft RACT in hours with full traceability AI-assisted RACT builder that converts protocol into an initial RACT with traceability to sections, CTQ mapping, and KRI/QTL suggestions, so SMEs spend time refining, not creating.

Transforming SAP Authoring with Agentic AI, Regulatory Precision, and End-to-End Auditability An agentic pipeline that reads a protocol, reasons against CDISC and ICH E9(R1) standards, clinical trial protocol and composes a submission-ready SAP, citing its sources throughout.