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A modular architecture that connects CMC data, scientific compute, and compliance-ready workflows. Built for scalable digital twins and rapid decision support.
LIMS, MES, ERP, historians, CDMO data feeds, and lab notebooks.
Normalized CMC data model with audit trails, lineage, and governed access.
Hybrid Python + TypeScript analytics to power forecasting and optimization.
Interactive dashboards, digital twins, and decision support workflows.
Part 11 aligned governance baked into workflows and data access.
AI agents and analytics that learn from process outcomes.
Phased implementation to deliver fast wins while protecting compliance.
Architecture, data inventory, and value prioritization
Data model, authentication, audit trail, and core demos
Supply forecasting, DoE analytics, P&ID visualizations
Copilots, document automation, and continuous optimization
A hybrid approach that keeps scientific compute close to the engineers who need it.
Immutable audit trail and data lineage to satisfy regulatory expectations.
Add new models without replatforming your UI or compliance layer.
Public-facing experiences backed by synthetic data and secure boundaries.