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Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

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Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of SparkCognition Maana Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Airbus Aerospace and Defense 56000 $34.0B France SparkCognition SparkCognition Maana Asset Performance Management 2017 n/a
In 2017 Airbus began a proof of concept using SparkCognition Maana as an Asset Performance Management platform, branded internally as AIRKOG. AIRKOG was initiated to reduce time engineers and technicians spent searching for information by organizing enterprise expertise and industrial data into a computational knowledge graph. The program moved to pilot in 2018 and into production in 2019, and Airbus Commercial and Maana extended their partnership for 2021 to 2023. SparkCognition Maana's implementation centers on a computational knowledge graph that identifies relations and correlations, implements computations, and runs multivariate analysis across multiple operational domains. Functional capabilities implemented include large scale data consolidation, knowledge modeling, computational rule engines, and analytics workflows to support complex processes such as new parts introduction, margin review analysis, and electrical harness configuration management. The platform exposed question answering and investigative workflows for subject matter experts, providing an intelligent interface for complex maintenance and manufacturing queries. AIRKOG consolidated data from tens of different systems into a single platform, enabling cross system queries that span engineering, sourcing, ordering, and manufacturing data. The operational scope covered multiple plants within Airbus Commercial operations and supported business functions including engineering, procurement, manufacturing operations, and margin management. Use cases implemented include managing head of version changes for new parts introduction, supporting cost reduction and margin review for aircraft options, and reallocation of harness configurations to avoid scrapping in a multi site manufacturing organization. Rollout followed a staged governance approach from proof of concept to pilot to production, with domain owners and subject matter experts curating the knowledge graph and validating computational rules and analytical models. Airbus reported explicit outcomes tied to AIRKOG, including multi million Euro annual cost savings in several areas, reductions in costs by 20 percent to 30 percent, and reductions in lead time for analysis by 30 percent to 75 percent. The program materially reduced time spent searching for information and enabled multivariate analysis that streamlined decision making across engineering, sourcing, and manufacturing workflows.
Aramco Oil, Gas and Chemicals 70000 $30.4B Saudi Arabia SparkCognition SparkCognition Maana Asset Performance Management 2017 n/a
In 2017, Aramco implemented SparkCognition Maana in an Asset Performance Management capacity to support maritime and shipping operations for Aramco Trading Company. The deployment established a platform-level capability that later underpinned Fanar, the AI driven maritime fleet optimization application announced by ATC and Maana, and positioned SparkCognition Maana as the core Asset Performance Management solution for vessel and shipment planning. SparkCognition Maana was configured to host a large scale digital twin of global maritime operations and to operationalize Maana knowledge technology, combining predictive analytics, an optimization engine for scheduling and planning, and a rules-driven knowledge layer. Functional capabilities implemented include unified fleet optimization, planning, voyage management, shipment scheduling, scenario based simulation and rapid what if processing, each exposed through single click optimization workflows. The implementation was deployed on Microsoft Azure as the cloud execution layer, integrating a broad set of operational inputs such as vessel locations and actuals, terminal and port status and congestion, bunkering locations and costs, vessel cleaning and chartering costs, weather, security and regional risk factors, route constraints, canal fees, charter party specifications and Contracts of Affreightment, and commodity price feeds. The solution continuously incorporates historic performance into forecasts and dynamically recomputes schedules and utilization across the fleet, effectively instrumenting Aramco Trading Company’s global maritime operations and shipment planning processes. Governance and operationalization emphasized continuous computation and decision support, with Fanar tested daily by ATC since June 2020 and used to optimize local decisions across maritime shipping and logistics workflows. Aramco executives cited cost reduction and improved decision orchestration as explicit objectives, and the SparkCognition Maana based Fanar application was made available to Azure customers, aligning the Asset Performance Management deployment to enterprise supply chain and fleet governance practices.
Chevron Corporation Oil, Gas and Chemicals 45298 $193.4B United States SparkCognition SparkCognition Maana Asset Performance Management 2018 n/a
In 2018, Chevron Corporation implemented SparkCognition Maana as an Asset Performance Management solution to formalize domain expertise and support decision processes for asset operations. The engagement positioned SparkCognition Maana as a digital knowledge platform leveraging computational knowledge graph technology to represent equipment relationships, failure modes, and diagnostic reasoning for asset performance workflows. The implementation used Maana's no-code and low-code authoring tools to enable subject matter experts to encode domain knowledge and decision logic, while data scientists and developers collaborated to operationalize models and analytics. Functional capabilities implemented included knowledge graph modeling, decision process automation, and application templates for business critical operational use cases consistent with Asset Performance Management workflows. Architecturally the deployment combined Maana's computational knowledge graph with SparkCognition's broader AI platform to link encoded expertise to operational data and analytics workflows, creating a bridge between human knowledge and machine intelligence. Integrations centered on exposing encoded decision processes to analytics and monitoring pipelines, enabling run-time inference and prescriptive guidance within asset management processes. Governance shifted toward knowledge engineering practices, with SMEs authoring and versioning domain models and cross-functional teams governing model lifecycle, testing, and deployment. SparkCognition's acquisition of Maana later consolidated the platform offering and Maana's applications have been reported to deliver customer savings measured in tens of millions of dollars annually, supporting multi-year enterprise engagements with Fortune Global 100 customers including Chevron.
Oil, Gas and Chemicals 96000 $284.3B United Kingdom SparkCognition SparkCognition Maana Asset Performance Management 2017 n/a
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FAQ - APPS RUN THE WORLD SparkCognition Maana Coverage

SparkCognition Maana is a Asset Performance Management solution from SparkCognition.

Companies worldwide use SparkCognition Maana, from small firms to large enterprises across 21+ industries.

Organizations such as Shell, Chevron Corporation, Airbus and Aramco are recorded users of SparkCognition Maana for Asset Performance Management.

Companies using SparkCognition Maana are most concentrated in Oil, Gas and Chemicals and Aerospace and Defense, with adoption spanning over 21 industries.

Companies using SparkCognition Maana are most concentrated in United Kingdom, United States and France, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of SparkCognition Maana across Americas, EMEA, and APAC.

Companies using SparkCognition Maana range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 100%.

Customers of SparkCognition Maana include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified SparkCognition Maana customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Asset Performance Management.