Mexico City, 11000,
Mexico
Mabe Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Mabe and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 20000 Mabe employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Mabe has purchased the following applications: Altair AI Hub for AI Frameworks and Libraries in 2024, Microsoft Azure Cloud Services for Application Hosting and Computing Services in 2014, Microsoft 365 for Collaboration in 2015 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Mabe is running and its propensity to invest more and deepen its relationship with Altair Engineering , Microsoft , Amazon Web Services (AWS) or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Mabe revenues, which have grown to $4.00 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Mabe intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Altair Engineering | Legacy | Altair AI Hub | AI Frameworks and Libraries | AI Development | n/a | 2024 | 2024 | In 2024, Mabe implemented Altair AI Hub, Apps Category , to operationalize AI-driven IoT optimization for product engineering across its Mexico operations. The project used Altair AI Studio to develop an AI workflow that predicts consumer behavior from appliance telemetry, and Altair AI Hub to deploy and manage the workflow and models. The implementation built predictive models that tune refrigerator compressor and fan operation to balance energy use and product freshness, models that execute on telemetry streams from connected appliances. Functionally the deployment encompassed model training and inference pipelines in Altair AI Studio, with model deployment, orchestration, and runtime inference handled through Altair AI Hub, aligning with standard MLOps lifecycle capabilities. Operational scope targeted product engineering and IoT-connected appliance optimization in Mexico, with model outputs integrated into device control parameter tuning to adjust compressor and fan behavior. Governance and rollout were a collaborative effort between Altair and Mabe, focusing on published predictive models in Altair AI Hub and ongoing model updates to refine device behavior based on field telemetry. |
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Cloud Services | Application Hosting and Computing Services | IaaS | n/a | 2014 | 2014 | ||
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Application Hosting and Computing Services | IaaS |
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2016 | 2016 |
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Digital Workspace | IaaS |
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2012 | 2012 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2015 | 2015 |
ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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IT Service Management | ITSM |
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2018 | 2018 |
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