AI Buyer Insights:

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

3030English Data, Technology Stack, and Enterprise Applications
AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Channel Legacy Channel Chatbots and Conversational AI AI-Powered Application n/a 2020 2020
In 2020, 3030English implemented Channel on its website, deploying Channel as a Chatbots and Conversational AI application to provide conversational engagement for prospective students and site visitors. The implementation is web focused and uses the Channel conversational layer to deliver guided interactions for inquiry handling and basic enrollment guidance across the public site. The rollout centered on web-based conversational flows, intent classification, scripted FAQ responses, lead capture forms and configured handoff paths to human support, aligning the Channel deployment with customer support and marketing functions. Governance for the Channel implementation emphasized content curation, intent training and iterative dialog refinement as the primary operational controls, with monitoring and conversation tuning performed through the application interface on the company website.
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google Legacy Google Tag Manager Tag Management CRM n/a 2020 2020
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Functional Software Legacy Sentry Application Performance Management ITSM n/a 2020 2020
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Content Delivery Network IaaS 2022 2022
IT Decision Makers and Key Stakeholders at 3030English
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by 3030English Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD 3030English Technographics

3030English is a Professional Services organization based in South Korea, with around 10 employees and annual revenues of $1.0 million.

3030English operates a diverse technology stack with applications such as Channel, Google Tag Manager and Sentry, covering areas like Chatbots and Conversational AI, Tag Management and Application Performance Management.

3030English has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Channel, Google and Functional Software.

3030English recently adopted applications including Cloudflare CDN in 2022, Channel in 2020 and Google Tag Manager in 2020, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of 3030English’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates 3030English’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 3030English technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.