Ingedata Technographics
Ingedata Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Ingedata and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 500 Ingedata employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Ingedata has purchased the following applications: Google Cloud Machine Learning Engine for ML and Data Science Platforms in 2016, Hubspot Live Chat for Chatbots and Conversational AI in 2018, Google Workspace (Formerly Google G-Suite) for Collaboration in 2013 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Ingedata is running and its propensity to invest more and deepen its relationship with Google , HubSpot , Contentsquare 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 Ingedata revenues, which have grown to $50.0 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 Ingedata 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.
Ingedata Tech Stack and Enterprise Applications
Ingedata 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, Ingedata implemented Google Cloud Machine Learning Engine as a core component of its ML and Data Science Platforms strategy, deploying the solution on Google Cloud Platform to support its education industry services in the Philippines. The deployment was aimed at enabling compliance and quality processing for clients, aligning the Google Cloud Machine Learning Engine with the company objective of rapid service innovation.
Configuration centered on container technology and cloud-native analytics, with Google Cloud Machine Learning Engine used for model training and model serving workflows. The implementation emphasized pipeline orchestration, iterative model development, and production deployment patterns consistent with ML and Data Science Platforms, enabling data scientists to package models in containers and operationalize inference at scale.
Operational coverage included data science, analytics, and engineering teams supporting client-facing quality and compliance processing, with the platform integrated into Google Cloud Platform services for containerized workloads and analytics. The architecture favored cloud-native services and container-based deployments to shorten development cycles and standardize operational tooling across the ML lifecycle.
Governance focused on establishing repeatable model development and deployment practices to maintain compliance and processing quality, while the platform’s container and AI capabilities encouraged the rapid creation of innovative services. The use of Google Cloud Machine Learning Engine supported Ingedata’s stated goals around compliance and quality processing without prescriptive claims about performance metrics.
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Ingedata AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| HubSpot | Legacy | Hubspot Live Chat | Chatbots and Conversational AI | AI-Powered Application | n/a | 2018 | 2018 |
In 2018, Ingedata deployed Hubspot Live Chat on its corporate website as a Chatbots and Conversational AI implementation. The configuration links Ingedata, Hubspot Live Chat, Chatbots and Conversational AI, and the company business functions supporting student acquisition and marketing outreach.
Hubspot Live Chat was implemented as a website-embedded chat widget with chatflow scripting, canned responses, and contact capture to populate visitor context and lead records. The implementation used conversation routing to direct sessions to designated marketing and student support inboxes, and included automated welcome messages and form-based qualification prompts consistent with Chatbots and Conversational AI capabilities.
Operational governance established response templates, escalation rules for handoff to human agents, and transcript retention for follow-up and enrollment workflows. The rollout focused on the public website at Ingedata's Philippines presence, with ongoing operator training and chat policy standardization to align marketing and support workflows.
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Ingedata Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2013 | 2013 |
In 2013, Ingedata implemented Google Workspace (Formerly Google G-Suite) as its primary Collaboration platform. The deployment is visible on the company website and serves an Education organization headquartered in the Philippines with approximately 500 employees.
The Google Workspace (Formerly Google G-Suite) rollout centers on core collaboration modules, including Gmail for organization email, Google Drive for shared storage, Docs Sheets and Slides for real‑time co‑authoring, Calendar for scheduling, and Google Sites for public and internal web content. Configuration details align with cloud-hosted, tenant-based administration using the Google Admin console for domain provisioning, user lifecycle management, and shared drive structure to support administrative and academic workflows.
Operational governance is administered through centralized console controls, with policy settings for sharing permissions, access controls, and mobile device management to enforce data protection across departments. The implementation is integrated with the company domain and their public website to route contact and organizational email, positioning Google Workspace as the primary collaboration and email layer for Ingedata’s institutional operations.
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Ingedata Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Web Content Management | Content Management |
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2021 | 2021 |
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Ingedata CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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CRM | CRM |
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2018 | 2018 |
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Customer Experience | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2018 | 2018 |
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Ingedata 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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2013 | 2013 |
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Application Hosting and Computing Services | IaaS |
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2016 | 2016 |
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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 Ingedata
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| CTO | CXO | Finance | ||||
| Head of Sales and Marketing | Director | Marketing |
Apps Being Evaluated by Ingedata Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||