AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Ingedata Tech Stack and Enterprise Applications

Ingedata AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google 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.
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.
Ingedata Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google 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.
Ingedata Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Web Content Management Content Management 2021 2021
Ingedata CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
CRM CRM 2018 2018
Customer Experience CRM 2018 2018
Marketing Automation CRM 2018 2018
Marketing Automation CRM 2018 2018
Ingedata IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2021 2021
Application Hosting and Computing Services IaaS 2013 2013
Application Hosting and Computing Services IaaS 2016 2016
Content Delivery Network IaaS 2020 2020

IT Decision Makers and Key Stakeholders at Ingedata

First Name Last Name Title Function Department Email Phone
CTO CXO Finance
Head of Sales and Marketing Director Marketing

Apps Being Evaluated by Ingedata Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Ingedata IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Ingedata digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Ingedata Technographics
Ingedata is a Education organization based in Philippines, with around 500 employees and annual revenues of $50.0 million.
Ingedata operates a diverse technology stack with applications such as Google Cloud Machine Learning Engine, Hubspot Live Chat and Google Workspace (Formerly Google G-Suite), covering areas like ML and Data Science Platforms, Chatbots and Conversational AI and Collaboration.
Ingedata has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Google and HubSpot.
Ingedata recently adopted applications including HubSpot CMS in 2021, DigitalOcean Droplets in 2021 and Cloudflare CDN in 2020, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Ingedata’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Ingedata’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Ingedata technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.