GxP compliance by design
Products are shaped for regulated pharmaceutical environments with auditability, access control and validation support in mind.
Platform
Shared product foundation for regulated pharmaceutical processes.
nData products are specialized for different pharma teams, but they are built around the same operating principles: structured data, controlled workflows, traceable evidence and practical AI support in regulated processes.
Platform capabilities shared across the product suite.
The platform layer gives each product a consistent foundation for compliance, workflow execution, structured records, integrations and AI-assisted work.
AI embedded in workflows
AI assistance is positioned inside practical workflows: classification, summarization, risk signals and operational guidance.
Configurable process engine
Workflow models, roles, statuses and approvals can follow the way pharmaceutical teams actually operate.
Structured data foundation
Products emphasize structured data capture so reporting, traceability and integrations are available without manual reconstruction.
Inspection-ready evidence
Records, documents, decisions and approvals are organized for traceability and future inspection scenarios.
Enterprise integration ready
Products are designed to connect with identity, document, reporting and enterprise data systems where the customer landscape requires it.
Operating model
How the platform connects specialized products.
The goal is not to force every process into one generic tool. Each product owns its domain, while the shared platform keeps data, workflow state, documents and evidence coherent across the wider lifecycle.
Product and master data context
Products can share context around products, markets, projects, documents, batches, studies, sites and organizational ownership instead of recreating disconnected records.
Workflow and responsibility model
Roles, statuses, approvals, assignments and due dates are shaped around controlled pharmaceutical processes, not generic task collaboration.
Evidence and document backbone
Records, documents, decisions, signatures and review history remain connected to the process that created or approved them.
Integration and AI context
Structured data, workflow state and linked evidence create a practical foundation for reporting, integrations and AI assistance inside controlled workflows.
Implementation fit
Designed to be configured, validated and maintained.
Platform value appears during implementation: when customer processes, roles, documents, integrations and validation expectations are translated into a controlled product setup.
Configure workflows around the customer process and responsibility model
Keep regulated records, documents and decisions traceable
Support validation evidence and controlled change over time
Use AI assistance inside reviewed, auditable business workflows