Exxon Mobil

What tech stack does Exxon Mobil use?

ExxonMobil runs one of the most complex enterprise technology environments in the world, spanning a Cray/NVIDIA supercomputer for seismic processing, a 12-to-1 SAP S/4HANA ERP consolidation, Celonis process intelligence targeting $15 billion in savings by 2027, Azure and AWS cloud infrastructure, a proprietary AI-driven drilling advisory system, and a Microsoft Dynamics 365 IoT partnership for field operations. The stack below is sourced from public signals only — official press releases, active job postings, confirmed partnership announcements, and third-party detection tools — and is directional, not exhaustive.

ERP
SAP S/4HANA (12 instances → 1; global consolidation in progress)
Cloud
Microsoft Azure (primary enterprise), AWS (data lake / analytics)
Data / HPC
Snowflake, Discovery 6 (HPE Cray EX4000 + NVIDIA Grace Hopper)
AI / Automation
Celonis (process mining), Azure ML, proprietary drilling AI
CRM / GTM
Salesforce (detected), Microsoft Dynamics 365 (XTO / field ops)
Collaboration
Microsoft 365 / Teams (enterprise-wide); Azure AD identity

What technologies does ExxonMobil use?

ExxonMobil's technology environment spans SAP S/4HANA ERP, Celonis process mining, Azure and AWS cloud, Snowflake, Salesforce, Microsoft Dynamics 365, a purpose-built HPE/NVIDIA supercomputer, and proprietary AI systems — all sourced from confirmed public disclosures and job postings.

  • SAP S/4HANA (RISE with SAP migration)· ERP / Enterprise
  • Celonis (Process Mining & Automation)· ERP / Enterprise
  • Salesforce· CRM / GTM
  • Microsoft Dynamics 365· CRM / GTM
  • Microsoft Azure· Cloud
  • Amazon Web Services (AWS)· Cloud
  • Snowflake· Data Warehouse
  • Kinaxis Planning.AI· Supply Chain
  • Azure Machine Learning· AI / ML
  • Proprietary Drilling Advisory AI· AI / ML
  • Microsoft Azure IoT· IoT / OT
  • HPE Cray EX4000 (Discovery 6)· HPC / Infrastructure
  • NVIDIA Grace Hopper Superchips· HPC / Infrastructure
  • Elastic Full Wavefield Inversion (eFWI)· Seismic / Proprietary
  • Microsoft 365 / Teams· Collaboration
  • Cognos TM1· Analytics / Planning
  • Azure Logic Apps· Integration / Middleware

Sources:ExxonMobil Digital TechnologiesExxonMobil SAP Migration — Syniti Case StudyExxonMobil Deploys Discovery 6 Supercomputer

What does ExxonMobil use on the backend and infrastructure?

ExxonMobil's enterprise backbone is SAP. The company is executing one of the most ambitious SAP S/4HANA consolidations in the energy sector: collapsing 12 legacy SAP ECC instances into a single global S/4HANA instance, a project that will produce 97% fewer profit centers and 70% fewer cost centers when complete. Celonis process intelligence is deployed on top of SAP and Salesforce across procurement, supply chain, logistics, maintenance, inventory, and accounts payable/receivable — with ExxonMobil publicly citing the $15 billion savings target by 2027 as the business case for this combination. The SAP-Celonis pairing is the company's primary enterprise transformation bet.

On infrastructure, ExxonMobil runs Microsoft Azure as its primary enterprise cloud for workloads, AI, and identity (Azure AD), and uses Amazon Web Services as its data lake and analytics layer, anchored by Snowflake. The crown jewel of its compute infrastructure is Discovery 6, deployed in H1 2025: an HPE Cray EX4000 supercomputer powered by 4,032 NVIDIA Grace Hopper Superchips, with 4x faster networking than its predecessor Discovery 5 and 100% direct liquid cooling. Discovery 6 runs ExxonMobil's proprietary elastic Full Wavefield Inversion (eFWI) seismic imaging technology, reducing 4D seismic processing times from months to weeks and enabling near-real-time reservoir management for Permian and Guyana assets.

Beyond seismic, ExxonMobil has developed a proprietary AI-driven closed-loop drilling advisory system used in Guyana operations, enabling automated real-time optimization of the drilling process. The company has built a proprietary high-performance data lake ingesting over 6 trillion individual data points from its refineries and chemical plants, feeding real-time optimization models for throughput, energy consumption, and predictive maintenance.

What does ExxonMobil use on the frontend, data, and GTM tooling?

For CRM and field operations, ExxonMobil's XTO Energy subsidiary (the Permian unconventionals arm, acquired in 2010) runs Microsoft Dynamics 365 integrated with Azure IoT to monitor and optimize field assets across the Permian Basin. Salesforce is also detected in the ExxonMobil environment, most likely for enterprise sales and B2B customer management in its chemicals, lubricants, and energy products businesses where it manages industrial customer relationships.

For financial planning and analytics, ExxonMobil uses IBM Cognos TM1 for planning and budgeting cycles. Collaboration runs on Microsoft 365 and Teams across the global workforce, with Azure Active Directory providing identity and access management. Azure Logic Apps handles integration and middleware workflows. Kinaxis Planning.AI is used for supply chain and demand planning — consistent with ExxonMobil's push to bring AI-native tools into its operational planning stack.

ExxonMobil's broader digital strategy emphasizes building and owning its most mission-critical models (seismic, drilling, refinery optimization) while selectively adopting best-in-class commercial tools (Celonis, Snowflake, Azure ML) for processes where commercial solutions outperform proprietary builds. This hybrid posture — proprietary at the core, commercial at the perimeter — is important to understand before positioning a technology sale.

What ExxonMobil's stack means if you sell to them

Microsoft is the dominant platform vendor — Azure, Dynamics 365, Teams, Azure IoT, and Azure ML are deeply embedded across the enterprise. Vendors whose products integrate natively with the Microsoft ecosystem via Azure Marketplace, Dynamics connectors, or Teams apps have a structural advantage in the evaluation process. SAP is the second dominant platform: any supply-chain, procurement, finance, or operations vendor must demonstrate clean SAP S/4HANA integration to advance past a proof of concept in the new consolidated environment.

For AI and data vendors, ExxonMobil's posture is clear: it builds proprietary models for mission-critical operations (seismic, drilling, refinery) but is open to best-of-breed commercial tools for process optimization and analytics. The strongest pitch angles are: (1) demonstrated ROI aligned to ExxonMobil's $15 billion savings-by-2027 program — Celonis-adjacent plays, procurement automation, and predictive maintenance tools that can show measurable cost reduction have a ready business case; (2) Low Carbon Solutions enablement — CCS permitting, CO2 sequestration monitoring, hydrogen project management, and advanced recycling analytics are new categories with less incumbent lock-in and active procurement; (3) Pioneer integration — the Permian technology harmonization program (ERP consolidation, SCADA integration, field data standardization across 700,000+ new acres) is an active, funded multi-year initiative.

Sellers should note that new vendor qualification takes 6–18 months and requires registration in ExxonMobil's supplier portal, completion of a vendor risk assessment, and often a pilot phase before commercial contract award. Budget authority for enterprise technology sits at VP level within business divisions and at SVP level for cross-business or strategic platforms.

As of June 2026.Sources:ExxonMobil Digital TechnologiesExxonMobil & Microsoft Dynamics/Azure PartnershipExxonMobil SAP S/4HANA Migration — SynitiExxonMobil Deploys Discovery 6 Supercomputer — HPCwireExxonMobil SAP Migration paying off — The Stack

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