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AspenTech Inmation™ OT Data Fabric

Unify, contextualize and govern OT data to create trusted, AI-ready intelligence from edge to enterprise and cloud.

Leading industrial organizations use AspenTech Inmation OT Data Fabric to connect operational data, improve visibility and support enterprise-wide transformation.

“At TotalEnergies, digital technology is a key enabler of our transformation toward a more sustainable and efficient energy future. Our collaboration with Emerson demonstrates how advanced technologies such as AspenTech Inmation help us to optimize operations, reduce emissions, and generate long-term value. This collaboration is a sign of our intention to turn data and digital tech into the hallmarks of our facilities’ industrial excellence.”
– Namita Shah, President of OneTech at TotalEnergies

BASF leveraged AspenTech Inmation to connect disparate industrial data sources across global operations, enabling real-time analytics, improved process efficiency and enhanced customer value through improved manufacturing intelligence and data management.

The scalable platform integrates legacy systems and standardizes data, providing robust visualization, secure data transport and enterprise-wide connectivity for smarter manufacturing.

Takeda Nutrien Cabot LyondellBasell SSR Shell

Purpose-Built for Industry

OT-native by design, built to unify and contextualize industrial data across sites, systems and applications.

No Vendor Lock-In

Preserve freedom to adopt best-in-class technologies as business needs evolve.

Flexible Deployment
Across the Enterprise

Deploy across cloud, hybrid and on-prem environments with one consistent industrial data fabric.

Proven Across Industrial Sectors

Used across process industries to support more secure, scalable and trusted operational data use.

Making Industrial Data More Usable

Helps organizations turn fragmented OT data into a trusted, query-ready operational context that can be reused across the enterprise.

  • Preserve live and historical operational context so data has meaning beyond raw signals
  • Create a unified namespace with consistent definitions, hierarchies and traceability
  • Make industrial data available and easier to use across teams, applications, sites and network levels

Built for Industrial AI

Gives organizations a stronger foundation for Industrial AI with trusted operational context, persistent history and a machine-readable architecture built for governed enterprise use.

  • Make industrial data machine-understandable and machine-operable, not just data-accessible
  • Support AI with an API-first, schema-driven and model-defined architecture
  • Help AI agents validate configurations, generate compliant structures and trigger defined execution pipelines safely

Built to Scale with Your Business

Enables organizations to expand enterprise use of industrial data as demand grows and use cases proliferate, from a single site to the global enterprise, without re-architecting as adoption expands.

  • Expand data access and visibility across sites, assets and applications
  • Support growing demand through horizontal workload distribution and unlimited layering
  • Use a next-generation node architecture for greater consistency and flexibility at scale
  • Capture and process high-frequency, sub-second industrial data at scale to support demanding operational, analytical and AI-driven use cases

Cybersecurity and Governance for Industrial Data

Gives organizations expand access to industrial data with stronger cybersecurity and governance across teams, applications and AI-driven workflows.

  • Reduce attack surfaces through secure, single-port tunneling at any network layer
  • Protect data with encryption in motion and at rest, plus centralized role-based access and auditability
  • Support IT security standards, compliance and traceability with a defense-in-depth approach suited for critical infrastructure

Vendor-Agnostic Connectivity Across the Enterprise

Supports organizations in bringing OT and IT data together in one governed operational foundation, without forcing standardization or replacement as environments evolve.

  • Avoid vendor lock-in and preserve freedom to choose the technologies that fit each use case
  • Integrate new and existing OT and IT systems without forcing standardization or replacement
  • Preserve the flexibility to adopt best-in-class technologies as operational and business needs evolve
  • Maintain resilient data flow across remote and segmented environments with store-and-forward buffering that preserves data during network interruptions and forwards it when connectivity is restored

Manage Enterprise-Wide Data Connectivity

Connect to a wide range of different servers, systems, interfaces, endpoints and data sources.

 

  • OPC: DA, HDA, A&E
  • OPC UA: Realtime, History, A+C
  • ODBC Datasource
  • Files: TXT, CSV, JSON, XML, XLXS
  • MQTT
  • Kafka
  • HTTP
  • Generic TCP
  • Modbus
  • PLC/Ethernet/IP
  • OSI PI/PI AF
  • Honeywell PHD
  • Siemens Simatic Batch
  • Mettler Toledo
    LabX

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