Bristol, BS2 0JP,
United Kingdom
Cookpad Technographics
Cookpad Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Cookpad and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 389 Cookpad employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Cookpad has purchased the following applications: Amazon SageMaker for ML and Data Science Platforms in 2016, GumGum for Artificial Intelligence Marketing in 2021, 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 Cookpad is running and its propensity to invest more and deepen its relationship with Amazon Web Services (AWS) , GumGum , Ruby 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 Cookpad revenues, which have grown to $107.0 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 Cookpad 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.
Cookpad Tech Stack and Enterprise Applications
Cookpad 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, Cookpad implemented Amazon SageMaker to automate ML inference endpoint deployment and accelerate model iteration for its recipe service. The data science team adopted Amazon SageMaker within the ML and Data Science Platforms category to reduce friction in model production, targeting a reduction in the number of training job iterations and the deployment bottleneck that was slowing development.
Cookpad used Amazon SageMaker's inference APIs to enable programmatic endpoint provisioning, model packaging for inference, and orchestration of training job iterations so data scientists could deploy models without application engineering support. Operational governance shifted deployment responsibility toward the data science function, and Cookpad validated that Amazon SageMaker would eliminate the need for application engineers to deploy ML models and planned to automate this deployment flow into production.
|
Cookpad 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 | 2021 | 2021 |
In 2021 Cookpad implemented GumGum as an Artificial Intelligence Marketing application on its public website, positioning the solution to support marketing and onsite advertising functions. The deployment ties Cookpad, GumGum, Artificial Intelligence Marketing to digital advertising and site monetization workflows managed by marketing and ad operations teams.
The implementation centered on web-delivered instrumentation and client-side tagging to surface page content signals for contextual ad selection and in-image recognition features consistent with Artificial Intelligence Marketing platforms. Configuration work focused on content relevance scoring, creative delivery pipelines, and rule-based targeting within the GumGum management console.
Operational coverage is website-wide, with the application analyzing page context in real time to inform ad placements and creative selection, and with controls exposed to marketing stakeholders for campaign and creative governance. The architecture is web-native, keeping model inference and decisioning at the content layer and relying on tag-based data capture rather than backend system integrations.
Governance and process changes emphasized centralized control of creative rules and monitoring by marketing and ad operations, with staged tag rollout and QA used to validate contextual mapping before full site activation. Documentation and console access were the primary tools for ongoing management of GumGum configuration and targeting within Cookpad’s online advertising workflow.
|
|
|
|
|
Chatbots and Conversational AI | AI-Powered Application |
|
2021 | 2021 |
|
Cookpad 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, Cookpad implemented Google Workspace (Formerly Google G-Suite) as its primary Collaboration platform, a deployment that is noted on the company website. The implementation covers Cookpad's United Kingdom operations and is provisioned for an organization of approximately 389 employees, supporting enterprise communication and collaborative work across core corporate functions.
Google Workspace (Formerly Google G-Suite) at Cookpad is configured with standard Collaboration modules, including Gmail for corporate email, Calendar for scheduling, Drive for cloud storage, Docs Sheets and Slides for collaborative content creation, and Meet for video conferencing. Administrative control is exercised through the Google Admin console with centralized user provisioning and domain management, and the platform is referenced within Cookpad's web presence. The implementation focuses on identity and access governance, centralized account administration, and document workflow support for product, content, and operations teams.
|
Cookpad Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Digital Signing | Content Management |
|
2021 | 2021 |
|
Cookpad CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Customer Support | CRM |
|
2014 | 2014 |
|
|
|
|
|
Digital Advertising Platform | CRM |
|
2014 | 2014 |
|
|
|
|
|
Digital Advertising Platform | CRM |
|
2014 | 2014 |
|
|
|
|
|
Digital Advertising Platform | CRM |
|
2018 | 2018 |
|
|
|
|
|
Digital Advertising Platform | CRM |
|
2017 | 2017 |
|
|
|
|
|
Digital Advertising Platform | CRM |
|
2019 | 2019 |
|
|
|
|
|
Sales Automation, CRM, Sales Engagement | CRM |
|
2021 | 2021 |
|
Cookpad ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Performance Management | ITSM |
|
2015 | 2015 |
|
|
|
|
|
IT Service Management | ITSM |
|
2021 | 2021 |
|
Cookpad PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
API Management, iPaaS (Integration Platform as a Service) | PaaS |
|
2020 | 2020 |
|
Cookpad IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2014 | 2014 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2021 | 2021 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2021 | 2021 |
|
IT Decision Makers and Key Stakeholders at Cookpad
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| CTO | CXO | Finance | ||||
| Tech Lead, Data Analytics | Manager | IT |
Apps Being Evaluated by Cookpad Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||