MULTI-MODAL, SEMANTIC DATA

Evolve your digital landscape from the legacy world of files and tables into a semantic, intuitive representation of your operations. Backed by the Ontology, Foundry’s full-fidelity digital twins hold granular, live details about real-world entities and events (e.g., customers, factories, work orders, shipments). 

AI/ML-BASED TWINS

Bring your digital landscape to life with native modeling of the actions and processes in your enterprise. Foundry Actions allow every operational action — such as adjusting pressure on a valve — to be modeled, associated, and governed. 

TWIN-BASED SIMULATIONS

Vertex allows you to visualize and quantify cause and effect across the digital twin of your organization, and simulate future conditions to make optimal decisions and find impactful changes.

OBJECT-DRIVEN ANALYTICS

Unlock next-generation analytics that are truly self-service and empower operational users. Every element in your digital twin (e.g., forecasts, parts, customers) can be seamlessly explored and securely updated through consistent, durable interfaces. Open APIs help power your existing BI and analytics, like Tableau or Microsoft PowerBI.

ADVANCED ANALYTICS & WORKFLOWS

Use applications like Quiver and Vertex for complex analytical workflows and allow object-aware applications to trigger actions on underlying systems, with a fully governed, auditable framework ensuring consistency across all workflows.

SIMULATIONS & SCENARIOS ACROSS YOUR TWIN

Vertex lets you monitor, simulate, and optimize operational decisions based on current, predicted, or proposed conditions. Simulations can be backed by simple logic-based rules, physics models, deep-learning models, or hybrid approaches.

TWIN-BACKED MODEL BUILDING

Integrate your own models built in other tools (e.g. SageMaker, AzureML, VertexAI) or author them from scratch in Code Workbook. Once models are in Foundry, the platform's Model Management framework lets you operationalize logic across the digital twin and provides a gateway for context, relevant data sources, metadata, and evaluation of model candidates.

COLLABORATION ACROSS AI/ML STAKEHOLDERS

Your digital twin provides a shared substrate for all stakeholders in model performance, unlocking collaboration among data scientists, AI/ML/OR, business, and operational teams. As operators, business processes, and systems make decisions and take action, the Foundry platform captures it as new data, providing feedback loops to model monitoring, evaluation, re-training, and MLOps.

IMPROVED INTERPRETABILITY

Your digital twin makes it easy for end users to understand model results, without needing to know machine learning. Foundry defines model outputs in real-world terms, allowing end users to interact with simple concepts such as a forecast, estimate, or classification.