Degoo Technographics
Degoo Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Degoo and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 13 Degoo employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Degoo has purchased the following applications: Stripe Payments for Payment Processing in 2017, Google Cloud Machine Learning Engine for ML and Data Science Platforms in 2016, GumGum for Artificial Intelligence Marketing in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Degoo is running and its propensity to invest more and deepen its relationship with Stripe , Google , GumGum 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 Degoo revenues, which have grown to $2.0 million 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 Degoo 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.
Degoo Tech Stack and Enterprise Applications
Degoo ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Stripe | Legacy | Stripe Payments | Payment Processing | ERP | n/a | 2017 | 2017 |
In 2017, Degoo implemented Stripe Payments to manage online transaction processing on its public website. The deployment uses Stripe Payments in the Payment Processing category to support card acceptance, authorization and capture workflows, and tokenization, with web checkout integration and server side API calls driving payment flows.
The implementation centers on Stripe Payments functional capabilities including checkout orchestration, card tokenization, webhook event handling for payment status changes, and dispute or chargeback workflows where applicable. Operational scope is website-facing commerce and billing, impacting product, finance and customer support functions, with governance responsibilities focused on PCI scope reduction through tokenization, webhook reconciliation processes and developer operations to maintain API integrations.
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Degoo AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Cloud Machine Learning Engine | ML and Data Science Platforms | AI Development | n/a | 2016 | 2017 |
In 2016, Degoo deployed Google Cloud Machine Learning Engine as part of its ML and Data Science Platforms strategy, aligning the application with its small engineering team and high growth in user volume. Degoo had previously established Google Cloud Storage as the core of its operation to keep costs down and simplify day to day operations, and the ML deployment was positioned to operate alongside that storage backbone.
The implementation of Google Cloud Machine Learning Engine focused on standard platform capabilities, including model training pipelines, validation and evaluation workflows, and prediction serving for production models. Google Cloud Machine Learning Engine was configured to leverage Cloud Storage for training datasets and model artifacts, and the platform supported automated training runs and model versioning consistent with ML and Data Science Platforms practices.
Integrations centered on Google Cloud Storage as the primary data lake and artifact repository, reflecting an architecture where storage and compute were both resident on Google Cloud. Operational coverage targeted Degoo’s engineering and data science activities that support the consumer backup and file sharing product used by over 9 million users, with workloads sized for a 13 person organization and high install velocity on Android.
Governance emphasized lightweight model lifecycle controls and iterative rollout, with model artifact management standardized in Cloud Storage and model deployment orchestrated through the Machine Learning Engine environment. The implementation aligned with Degoo’s explicit objective to reduce maintenance burden and control costs by consolidating infrastructure on Google Cloud, without introducing external systems.
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Degoo AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| GumGum | Legacy | GumGum | Artificial Intelligence Marketing | AI-Powered Application | n/a | 2020 | 2020 |
In 2020, Degoo deployed GumGum on their website as an Artificial Intelligence Marketing solution to support on-site advertising and marketing workflows. The implementation places GumGum on Degoo's web presence to deliver contextual advertising, content-aware ad placement, creative optimization, and campaign analytics, aligning with capabilities common to the Artificial Intelligence Marketing category.
Operational ownership is held by Degoo's marketing and site operations teams, centralizing configuration of placements, targeting parameters, and campaign delivery. GumGum provides the application-level instrumentation and reporting used by Degoo for campaign measurement and iterative optimization, establishing the relationship Degoo GumGum Artificial Intelligence Marketing for marketing and digital advertising on the company website.
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Degoo Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Collaboration | Collaboration |
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2018 | 2018 |
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Degoo CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Customer Support | CRM |
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2020 | 2020 |
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Digital Advertising Platform | CRM |
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2020 | 2020 |
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Digital Advertising Platform | CRM |
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2020 | 2020 |
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Digital Advertising Platform | CRM |
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2020 | 2020 |
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Marketing Analytics | CRM |
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2014 | 2014 |
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Degoo ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2020 | 2020 |
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Degoo PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2016 | 2016 |
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Transactional Email | PaaS |
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2017 | 2017 |
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Degoo 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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2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
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2025 | 2025 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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IT Decision Makers and Key Stakeholders at Degoo
Apps Being Evaluated by Degoo Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||