Guide
What to look for in an AI workspace that runs in Korean
There are five things to check when you pick an AI workspace for a team that works in Korean: Korean across the interface and the legal documents, the quality of the AI when it turns a Korean request into executed work, the operating company and its data policy, KRW billing and support hours on Korean time, and integrations with the tools the team already uses in Korea.
The table below covers how to verify each one, and where CALEUP stands today.
As of 2026-08-28 · By CALEUP (Anvel)
Five checks, and where CALEUP stands
| Check | How to verify | CALEUP (as of 2026-08-28) |
|---|---|---|
| Korean in the interface and documents | Whether menus, settings and error messages are in Korean, and whether the help content is too | Korean, English and Japanese UI. Terms and Privacy Policy in their original Korean |
| AI that executes Korean requests | Ask with a real team conversation and see whether the task, owner and due date come out right | The EVEN agent executes natural-language Korean requests - creating tasks, suggesting owners, running searches |
| Operating company and data policy | Who operates the service, how far data is isolated, whether it is used for AI training | Operated by Anvel (South Korea, business registration number 575-02-03830). Personal, team, and org isolated in three scopes. Training policy on the Security & FAQ page |
| Billing and support | Whether you can pay in KRW, and the time zone and language of support | KRW (₩) pricing on the Korean interface, email support weekdays 09:00-18:00 KST (contact@caleup.ai) |
| Integrations with tools used in Korea | Whether you can connect the tools you already use | GitHub and Notion integrations |
How to check how well the AI handles Korean
Test with conversations your team actually had, not with demo sentences, and put every request in Korean. Three requests are enough.
- Meeting notes to tasks: paste in the conversation from your last meeting and ask, in Korean, "액션아이템 태스크로 나눠줘" (split the action items into tasks). See whether the owners and due dates land correctly.
- Owner suggestion: ask "이 일 누가 하는 게 좋을까" (who should take this on). See whether the answer is grounded in your actual teammates and their workload.
- Search: ask about something the team settled in chat last week. See whether it comes back with the answer instead of leaving you to dig through channels.
What to check in the data and the contract
- Whether team data is used to train AI models, and if it is, whether there is a consent step.
- Whether data from teams or orgs you don't belong to can turn up in search results or AI answers.
- What happens to your data when you cancel, and whether you can export it.
- Whether the terms and the privacy policy are provided in Korean and name the operating company.
For CALEUP, this is covered on the Security & FAQ, Terms of Service and Privacy Policy pages.
Frequently asked questions
- How is this different from using an English-first tool with its Korean language setting turned on?
- Translated menus only go so far. What makes the difference in daily use is whether the AI can pull decisions out of a Korean conversation and suggest an owner, whether you can pay in KRW, whether support runs on Korean time, and whether the terms are written in Korean.
- Can Japanese- and English-speaking teams use CALEUP as well?
- The interface supports Korean, English and Japanese, and each user chooses their own language. Teammates working in different languages can share the same workspace.
- Where is the data stored?
- CALEUP is operated by Anvel, a business registered in South Korea, and data is stored in three separate scopes - personal, team, and org. The detailed policy is on the Privacy Policy and Security & FAQ pages.