Sportograf Technographics
Sportograf Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Sportograf and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 7 Sportograf employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Sportograf has purchased the following applications: PayPal Braintree for Payment Processing in 2020, Amazon SageMaker for ML and Data Science Platforms in 2016, Google Workspace (Formerly Google G-Suite) for Collaboration in 2011 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Sportograf is running and its propensity to invest more and deepen its relationship with PayPal , Amazon Web Services (AWS) , Google 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 Sportograf revenues, which have grown to $1.0 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 Sportograf 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.
Sportograf Tech Stack and Enterprise Applications
Sportograf ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| PayPal | Legacy | PayPal Braintree | Payment Processing | ERP | n/a | 2020 | 2020 |
In 2020, Sportograf implemented PayPal Braintree to manage online payments on its public website. The implementation centralized the Payment Processing layer for checkout and customer payments for the German media company, which operates with a seven person team, and PayPal Braintree was deployed as the primary payment gateway and checkout integration.
The integration used web checkout patterns, employing Braintree drop-in UI and hosted fields to capture card payments alongside native PayPal methods, and implemented tokenization to vault customer payment instruments. Configuration focused on card acceptance, PayPal checkouts, and client-side encryption consistent with Payment Processing best practices, with PayPal Braintree integrated into the site front-end to avoid direct handling of raw card data by core back-end systems.
Operational coverage was concentrated on e-commerce payments and customer billing workflows on the Sportograf website, with engineering and site operations maintaining the integration and payment configuration. Governance relied on centralized configuration of merchant credentials and payment method orchestration through the Braintree control plane, reflecting a web-embedded gateway architecture that ties PayPal Braintree directly to the public storefront checkout flows.
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Sportograf AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon SageMaker | ML and Data Science Platforms | AI Development | n/a | 2016 | 2017 |
In 2016, Sportograf deployed Amazon SageMaker within its ML and Data Science Platforms to address the challenge of organizing millions of sporting-event photos by bib number. The company combined Amazon SageMaker with Amazon Rekognition for text recognition to avoid the use of QR codes or physical markers, a decision driven by the need to respond to spontaneous customer requests without adding operational complexity.
The implementation centered on a lightweight machine learning pipeline that uses Amazon Rekognition to extract candidate text from images followed by custom models developed and trained in Amazon SageMaker to disambiguate and validate racer bib numbers. Model development and inference were configured to support near real-time processing, enabling photo indexing and automated assignment of bib numbers to images as they are ingested at events.
Operationally the solution ties image ingestion and automated indexing into Sportografs event photography workflow, providing functionality used by event operations and customer-facing order fulfillment. Governance emphasized a marker-free capture process and accuracy-focused model tuning, which enabled Sportograf to organize photos by bib number with high speed and accuracy and to serve spontaneous customer requests in near real-time.
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Sportograf Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2011 | 2011 |
In 2011, Sportograf deployed Google Workspace (Formerly Google G-Suite) to provide company-wide collaboration and to surface collaboration services on its public website, categorized as Collaboration. The deployment supports Sportograf's seven person media team and is used for core Collaboration functions including Gmail corporate email, Calendar scheduling, Drive file storage, and Google Docs for document editing and content preparation.
Administration is managed through the Google Workspace admin console with user provisioning, group email aliases, and shared drive structures configured to organize media assets and editorial workflows. The implementation ties Workspace services to the Sportograf website for hosted email and contact handling, aligning collaboration tooling with content production, marketing, and basic IT administration under a centralized account.
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Sportograf 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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Marketing Automation | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Sportograf PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2012 | 2012 |
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Sportograf 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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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Cloud Storage | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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IT Decision Makers and Key Stakeholders at Sportograf
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| Managing Director | Director | Finance | ||||
| CEO, Co-Founder | CXO | Finance |
Apps Being Evaluated by Sportograf Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||