Microsoft Software / SaaS South Korea

Wrtn

Enterprise Knowledge Search

South Korean startup Wrtn Technologies is transforming everyday life with its AI "superapp," designed to enhance productivity, entertainment, and emotional connections.

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Discover more details CUSTOMER Wrtn PRODUCTS Azure AI Content Safety Azure OpenAI Service Azure AI Foundry Azure SERVICES AND SUPPORT ORGANIZATION SIZE 1-49 employees COUNTRY Korea BUSINESS NEED Customer experience Security Artificial Intelligence INDUSTRY Telecommunications and Media Explore related stories Stories in this industry Stories about this customer Showing 32 of 98 categories Showing 1-2 of 2 slides Previous slide Next slide We are Microsoft Empowering others Our mission is to empower every person and every organization on the planet to achieve more.

Wrtn's earliest generations of their tools have been wildly popular across South Korea—now used by 5.4 million Korean users monthly—creating new challenges of scale: meeting expanding user demands and adapting and evolving to cultural and linguistic localizations.

Reported impact

Business outcome

Using Microsoft’s Azure OpenAI Service and its newest o1 models, Wrtn has scaled rapidly, addressed complex regulatory challenges, and enhanced their product with new innovations to meet the demands of its user base, now topping 5.4M monthly users. “We mainly focus on three domains of productivity, a mixture of AI search, chat, and tools and templates,” says Dongjae "DJ" Lee, Chief Product Officer of Wrtn Technologies.

Solution

Wrtn used Azure OpenAI Service, Azure AI Foundry, Microsoft Dynamics 365 to surface grounded answers from enterprise knowledge faster. South Korean startup Wrtn Technologies is transforming everyday life with its AI "superapp," designed to enhance productivity, entertainment, and emotional connections. Key implementation elements included Azure OpenAI Service generates natural-language responses and task automation for the solution; Azure AI Foundry supports model orchestration, evaluation, and governed deployment of the AI workflow; Microsoft Dynamics 365 provides the common business process layer that standardizes operations; Microsoft Azure hosts the application, data, and integrations on scalable cloud infrastructure. Enterprise content from documents, meetings, websites, or internal systems is passed through retrieval and model services so users receive grounded answers inside the target workflow. The solution also connects with ERP, helping the new platform fit into existing...

Data flow

Enterprise content from documents, meetings, websites, or internal systems is passed through retrieval and model services so users receive grounded answers inside the target workflow.

Solution architecture

4 components · 2 layers

Compute
- Azure OpenAI Service Generates natural-language responses and task automation for the solution.
- Azure AI Foundry Supports model orchestration, evaluation, and governed deployment of the AI workflow.
- Microsoft Azure Hosts the application, data, and integrations on scalable cloud infrastructure.
Orchestration
- Microsoft Dynamics 365 Provides the common business process layer that standardizes operations.

Architecture clues

Emphasizes secure enterprise access to data and AI capabilities.

Evidence from the source

Discover more details CUSTOMER Wrtn PRODUCTS Azure AI Content Safety Azure OpenAI Service Azure AI Foundry Azure SERVICES AND SUPPORT ORGANIZATION SIZE 1-49 employees COUNTRY Korea BUSINESS NEED Customer experience Security Artificial Intelligence INDUSTRY Telecommunications and Media Explore related stories Stories in this industry Stories about this customer Showing 32 of 98 categories Showing 1-2 of 2 slides Previous slide Next slide We are Microsoft Empowering others Our mission is to empower every person and every organization on the planet to achieve more.

South Korean startup Wrtn Technologies is transforming everyday life with its AI "superapp," designed to enhance productivity, entertainment, and emotional connections.

Using Microsoft’s Azure OpenAI Service and its newest o1 models, Wrtn has scaled rapidly, addressed complex regulatory challenges, and enhanced their product with new innovations to meet the demands of its user base, now topping 5.4M monthly users.

Using Microsoft’s Azure OpenAI Service and its newest o1 models, Wrtn has scaled rapidly, addressed complex regulatory challenges, and enhanced their product with new innovations to meet the demands of its user base, now topping 5.4M monthly users. “We mainly focus on three domains of productivity, a mixture of AI search, chat, and tools and templates,” says Dongjae "DJ" Lee, Chief Product Officer of Wrtn Technologies.

Wrtn's earliest generations of their tools have been wildly popular across South Korea—now used by 5.4 million Korean users monthly—creating new challenges of scale: meeting expanding user demands and adapting and evolving to cultural and linguistic localizations.

Transparency Evidence & methodology 75/100 reference value · 87% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value75/100

Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth25/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact0/25
0 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.

Evidence confidence87%

Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability21/25
10 of 12 key fields link to a named source.
Direct evidence20/20
5 direct source quotes retained.
Date provenance10/10
The publication date comes from the source page or publisher.
Source transparency8/10
1 source reference document publisher, URL, authority, retrieval, and supported fields.
Implementation specificity8/10
Rewards source-backed components, data flow, quantified impact, and a specific outcome.

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

Microsoft
Wrtn customer story

First-party
https://www.microsoft.com/en/customers/story/20597-wrtn-azure

Source type
Vendor-published customer story

Published
Jan 9, 2025
Supports
- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes
- Publication date

Date evidence

Published on source page Jan 9, 2025 · Microsoft · First-party
Open date source

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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