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Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Fagor Ederlan Data, Technology Stack, and Enterprise Applications
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Microsoft Legacy Microsoft Azure Machine Learning ML and Data Science Platforms AI Development n/a 2016 2017
In 2016, Fagor Ederlan deployed Microsoft Azure Machine Learning to prototype an ML-driven quality inspection capability for aluminum automotive parts. The initiative focused on using molding process telemetry that is captured each millisecond to detect quality deviations sooner, while addressing a diverse mix of proprietary equipment, high data volumes, and constrained network links across its global factories. Using Microsoft Azure Machine Learning within the ML and Data Science Platforms category, the joint developer team instrumented a cloud-based pipeline that enables near real-time analysis and model training from manufacturing telemetry. The prototype ingests time series measurements from molding machines and applies machine learning models to flag parts outside quality standards, while leveraging secure, reliable cloud services to reduce unnecessary data transfer and conserve network bandwidth. Operational coverage spans multiple machines and factories in Fagor Ederlan's global system, and the solution was designed to be applicable across disparate equipment types without bespoke integrations for each device. Business functions impacted include manufacturing operations and quality control, with data flows enabling near real-time alerts and centralized model refinement in the cloud. Governance was executed by the collaborative development team from Fagor Ederlan and Microsoft, producing a prototype that demonstrates sending data to the cloud using secure services does not have to be overly complex. The project explicitly delivered earlier identification of defective parts and reduced network bandwidth usage, with Microsoft Azure Machine Learning serving as the platform for model development and deployment.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Microsoft Legacy Microsoft 365 Collaboration Collaboration n/a 2015 2015
In 2015, Fagor Ederlan implemented Microsoft 365 as its enterprise Collaboration platform. The deployment supports the automotive manufacturer headquartered in Spain and is provisioned for roughly 6000 employees to address corporate communications and document management needs. Microsoft 365 was configured to deliver core Collaboration capabilities, including cloud email, productivity applications, document libraries and real time conferencing. Microsoft 365 components such as Exchange Online, SharePoint, Microsoft Teams and Office applications are used to enable email, file collaboration, team collaboration and meeting workflows across the organization. Operational coverage emphasizes corporate communications, engineering collaboration and administrative functions, with governance centered on centralized identity and access policies and document lifecycle controls. The company website source references Microsoft 365 assets, indicating public facing or embedded uses of Microsoft 365 hosted content alongside internal collaboration services.
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Signaturit Legacy Signaturit Digital Signing Content Management n/a 2020 2020
In 2020 Fagor Ederlan deployed Signaturit as its Digital Signing solution on the company website. The implementation centers on web‑embedded signing flows and public facing document execution, enabling external parties to sign contracts and supplier forms directly through site hosted interactions. Signaturit is provisioned to support electronic signature workflows, document templates, signer authentication, timestamping and a full audit trail consistent with Digital Signing capabilities. The implementation leverages Signaturit embedding and API driven form submission to automate document generation and capture signatures as part of online processes. Operational governance is organized around centralized template and access controls administered by corporate legal and procurement teams in Spain, ensuring consistent signature workflows and traceability. Rollout is focused on website integrated signing for customer and supplier touch points, with administrative controls to manage templates, signer permissions and retention of signed records.
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transactional Email PaaS 2020 2020
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2014 2014
IT Decision Makers and Key Stakeholders at Fagor Ederlan
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Fagor Ederlan Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Fagor Ederlan Technographics

Fagor Ederlan is a Automotive organization based in Spain, with around 6000 employees and annual revenues of $1.20 billion.

Fagor Ederlan operates a diverse technology stack with applications such as Microsoft Azure Machine Learning, Microsoft 365 and Signaturit, covering areas like ML and Data Science Platforms, Collaboration and Digital Signing.

Fagor Ederlan has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Microsoft and Signaturit.

Fagor Ederlan recently adopted applications including Signaturit in 2020, Twilio Sendgrid in 2020 and Microsoft Azure Machine Learning in 2016, highlighting its ongoing modernization strategy.

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Our research team continuously updates Fagor Ederlan’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

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