Infony by CODASOL is a unified, AI-powered platform for modern data governance and physical verification. Designed to integrate IT, business, and operational data into a seamless, governed environment, Infony empowers organizations to unlock value from their data with precision, agility, and confidence.
Enterprises often struggle with:
Without a unified strategy, data governance becomes reactive, patching problems rather than preventing them.
Infony provides a holistic governance cycle that brings structure, automation, and intelligence to your enterprise data landscape. It is also purpose-built to enable AI/ML-assisted physical verification and asset audits, integrating seamlessly with CODASOL’s PROSOL platform.
End-to-end governance lifecycle: from ingestion to analytics
Pre-trained AI/ML models tailored for specific industries
Metadata management, data lineage, and quality control
Nameplate data extraction through AI-driven image recognition
Smart document ingestion and profiling to extract tables, keywords, and metadata from PDFs
Real-time rule enforcement and policy governance
Seamless integration across ERP, EAM, IoT, and business systems
Offline mode for field audits without connectivity interruptions
Whether you’re launching a governance program or scaling one, Infony accelerates adoption while ensuring every data point is trusted and actionable.
Unified Governance Cycle
One cohesive process from data ingestion to analytics
AI/ML-Driven Accuracy
Tailored models ensure high precision in classification and validation
Rapid Deployment
Implement governance best practices in weeks, not months
Offline Operation Support
Perform audits without network dependency
AI-Driven Nameplate Recognition
Extract asset information via intelligent image processing
PROSOL Integration
Natively connects to PROSOL for seamless asset data governance
Connected Systems
Links physical assets, business data, and IT metadata
Expert Support
Backed by CODASOL’s domain-specialist implementation teams
Smart PDF Extraction & Indexing
Extract structured data, tables, and keywords from PDF documents at scale
Infony goes beyond structured systems — it enables intelligent extraction and indexing from unstructured documents like PDFs, scanned manuals, and engineering files.
These capabilities are ideal for enterprises with legacy documentation, vendor catalogs, or technical manuals that need to be digitized and governed, all while maintaining traceability and auditability.
Design and implement robust data governance strategies
Automate metadata capture and classification
Accelerate physical verification and asset audits
Extract nameplate data with high accuracy using AI
Enforce real-time quality and compliance checks
Enable seamless data sharing across teams and departments
Ensure governance policies are embedded into everyday operations
Industry: Utilities (GCC region)
Challenge: No standard metadata framework across SCADA, ERP, and operations
Solution: Infony unified physical and business data into a single catalog with ML-assisted validation
Result: 40% improvement in audit readiness, 25% faster project delivery due to harmonized data flows
Infony integrates directly with:
SAP, Oracle, Maximo, and other ERPs
IoT platforms, CMMS, and asset management tools
CODASOL’s PROSOL and ProPedia for MDM and metadata consistency
Via secure APIs and configurable connectors, Infony adapts to your enterprise stack — no reengineering required.
Infony brings structure and speed to your data governance and audit operations.
Let’s transform how your enterprise manages data, from ingestion to decision.
Experience Infony’s unified governance and AI-powered verification in action.
No, Infony bridges IT, operations, and business functions into a unified governance and asset verification framework.
Typical deployments are completed in 4–6 weeks, depending on the scope.
Yes, its ML models are trained for domains like utilities, oil & gas, EPC, and manufacturing.
It provides real-time audit trails, rule-based policy enforcement, and metadata lineage tracking.
Yes, Infony works in offline mode during physical audits and syncs back when connectivity is restored.
Yes, Infony uses AI/ML algorithms to extract text and metadata from asset nameplates in the field.
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