Renew Your EAM Data with AI

Leverage our AI-powered platform to automate data cleansing, extract critical asset information, and establish robust data governance for your Enterprise Asset Management systems.

See it in Action

An Intelligent Data Workbench

Explore the core modules that power the DataRenew platform.

Visual Asset Extraction

AI-driven extraction of asset hierarchies directly from complex engineering drawings and P&IDs.

Document Intelligence

Convert unstructured PDF manuals and guides into structured, actionable PM schedules and task lists.

Data Cleansing & Enrichment

Automate data validation, standardization, and enrichment to maintain a pristine asset database.

Reconciliation Engine

Govern your EAM data lifecycle with features for reconciling discrepancies and validating gaps before ERP integration.

From Hours to Minutes

Drastically reduce data entry and cleansing time with our AI-powered tools.

A simplified, clean user interface representing AI-powered data processing.

A complex user interface representing manual data entry.

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Solutions for Your Industry

We provide tailored data models and strategies for a wide range of sectors.

Oil & Gas

Optimize upstream and downstream asset management with precise data for drilling, refining, and distribution equipment.

Industry-Specific Taxonomy
Regulatory Compliance Models
Best-Practice PM Strategies

Start with Gold-Standard Templates

Accelerate your data governance journey with our library of industry-vetted templates.

Abstract representation of data taxonomy.

ISO 14224 Taxonomy

A standardized hierarchy for asset categorization, ensuring data consistency and interoperability across the enterprise.

A diagram of functional locations in a factory.

Functional Location Templates

Best-practice structures for organizing assets geographically or by process, improving maintenance planning and execution.

A flowchart for a preventive maintenance strategy.

PM Strategy Models

Proven preventive maintenance strategies tailored to specific asset classes, optimizing for reliability and cost-effectiveness.