X-BENCH

X-BENCH is an AI workbench developed by VML, designed specifically for Medical Affairs teams in the pharmaceutical and life sciences industry. It brings together data ingestion, AI-driven curation, and an interactive workbench environment to help Medical Affairs professionals consolidate disparate data sources, extract insights, and execute strategic tasks within a single platform.

The platform is built around the concept of "jobs to be done" — focusing on the specific outcomes Medical Affairs professionals need to achieve, such as compiling leadership reports, synthesizing data to answer hypotheses, analyzing advisory board transcripts, or preparing for stakeholder engagements. X-BENCH is structured around three integrated portals: Ingestion, Curation, and Workbench.

Data Sources Supported

• Field interactions, congress conversations, medical information requests, advisory boards, and social channels
• Peer-reviewed publications, paid subscription content, KOL profiles, PubMed, and congress abstracts
• Internal data lakes, proprietary systems, and external public sources

Ingestion Portal

• Unified, scalable architecture designed to overcome data fragmentation across Medical Affairs data sources
• Schema-agnostic connectivity supporting flexible schema-on-read approaches with pre-built connectors
• Secure, documented APIs for real-time and batch data exchange, with custom adaptors for proprietary systems
• Automated ingestion of multiple file formats covering the breadth of Medical Affairs content
• Configurable data pipelines to manage information flow from source systems or existing data lakes
• Granular access controls managed down to the field and record level to support compliance requirements

Curation Portal

• AI and machine learning technologies applied to curate and harmonize data, including NLP, NLU, generative AI, semantic and entity recognition, and topic modeling and clustering
• Continuous oversight from a dedicated medical team providing readjustments, integration of new terminology, and accuracy and specificity monitoring
• Customer-specific language calibration, including proprietary acronyms, strategic pillars, and custom terminology to align the platform with each organization's operational language

Workbench Capabilities

• Monitor emerging trends, anomalies, and signals across datasets
• Catch up on key developments and insights from recent data
• Refine questions and guide the AI to generate evidence-based answers
• Track how perceptions and sentiment are evolving over time
• Generate structured reports synthesizing insights across multiple datasets
• Create intelligence dossiers providing deep expertise on specific topics
• Prepare for stakeholder engagements with relevant background and context
• Study topics in depth using structured analysis and thematic breakdowns
• Triangulate data points by finding related evidence across the full dataset
• Track competitor messaging and positioning across platforms
• Identify and prioritize potential actions based on evidence from multiple sources
• Ideate and validate strategic hypotheses

Deployment Options

• Standalone Enterprise Solution: A complete, end-to-end deployment giving organizations full control over their data intelligence pipeline, with access to the full range of X-BENCH capabilities and rapid implementation
• White-Label Integration: Allows selective injection of X-BENCH capabilities into existing internal AI platforms or proprietary systems, without disrupting established workflows or requiring replacement of current investments
• Enhancing Existing Products and Platforms: Extends existing Medical Affairs SaaS solutions with X-BENCH's data assimilation and AI capabilities, enabling organizations to build on their current technology portfolio

X-BENCH is developed by VML, a global digital transformation and technology company with over 10,000 technologists operating across 30 countries. VML's health division brings more than 15 years of experience delivering technology solutions to pharmaceutical companies. Demos are available on request for organizations evaluating the platform.