Cranberry Township, 16066, PA,
United States
GetGo Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by GetGo and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 3500 GetGo employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that GetGo has purchased the following applications: Oracle OCI AI Infrastructure for AI infrastructure in 2025, Microsoft 365 for Collaboration in 2016, DatoCMS for Content Management in 2024 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems GetGo is running and its propensity to invest more and deepen its relationship with Oracle , Microsoft , Dato 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 GetGo revenues, which have grown to $1.48 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 GetGo 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 |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle OCI AI Infrastructure | AI infrastructure | AI Development | n/a | 2025 | 2025 |
In 2025, GetGo implemented Oracle OCI AI Infrastructure to build and run an AI image processing model that automates vehicle damage review. The deployment addressed a high-volume operational need for GetGo, which operates a 3,000 vehicle fleet across 1,700 locations and receives as many as 50,000 user-submitted photos per day, making manual inspection impractical.
The implementation on Oracle OCI AI Infrastructure focused on model training, annotation workflows, and production inferencing pipelines. GetGo’s data science team trained and iteratively annotated models on OCI, then deployed continuous inferencing to assess incoming batches of images, enabling automated detection of vehicle damage and flagging images for human follow up when necessary. The solution uses core AI infrastructure capabilities for scalable model training and inference orchestration, and the Oracle AI Center of Excellence provided technical guidance to accelerate development and production rollout.
GetGo integrated the deployed model with its existing rental workflow and broader operational infrastructure so that driver-submitted photos become an automated input to damage assessment and fleet operations. The model supports the existing photo submission process, where drivers provide multiple images before and after rentals, and it reduced manual review burden that previously required approximately 25 workdays to inspect a single day’s images. The company also evaluated third-party image services and found per image costs prohibitive, opting to run continuous processing on OCI for tighter cost control.
Governance and operational change focused on shifting from a reactive inspection model to proactive, automated monitoring of vehicle condition. The project moved from problem identification to production in under three months, and ongoing model retraining and annotation processes were established to improve detection accuracy and reduce wrongful damage claims. The implementation processed roughly 50,000 daily images up to 100 times faster than manual review, freed staff to focus on higher-value work, and created a platform on OCI for future AI use cases such as repair pricing and cleanliness assessments, all while retaining centralized control over infrastructure costs and scalability.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2016 | 2016 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Dato | Legacy | DatoCMS | Content Management | Content Management | n/a | 2024 | 2024 |
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Web Content Management | Content Management |
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2019 | 2019 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Customer Data Platform | CRM |
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2023 | 2023 |
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Customer Engagement, Customer Loyalty | CRM |
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2018 | 2018 |
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Data Management Platform | CRM |
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2016 | 2016 |
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Data Management Platform | CRM |
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2019 | 2019 |
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Data Management Platform | CRM |
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2021 | 2021 |
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Data Management Platform | CRM |
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2023 | 2023 |
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Digital Advertising Platform | CRM |
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2019 | 2019 |
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Digital Advertising Platform | CRM |
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2023 | 2023 |
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Digital Advertising Platform | CRM |
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2023 | 2023 |
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Digital Advertising Platform | CRM |
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2023 | 2023 |
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Marketing Analytics | CRM |
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2019 | 2019 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Analytics | CRM |
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2023 | 2023 |
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Tag Management | CRM |
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2015 | 2015 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2016 | 2016 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2025 | 2025 |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Application Hosting and Computing Services | IaaS |
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2024 | 2024 |
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Application Hosting and Computing Services | IaaS |
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2024 | 2024 |
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Cloud Storage | IaaS |
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2019 | 2019 |
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Cloud Storage | IaaS |
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2025 | 2025 |
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Content Delivery Network | IaaS |
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2024 | 2024 |
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Content Delivery Network | IaaS |
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2024 | 2024 |
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Content Delivery Network | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2024 | 2024 |
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Content Delivery Network | IaaS |
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2024 | 2024 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Identity and Access Management (IAM) | CyberSecurity |
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2024 | 2024 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2019 | 2019 |
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