Takeanap Turns Design Feedback Into Reusable Knowledge

The useful part

Generative AI has made it much faster to produce a screen, mockup, or visual concept. It has not solved the part of product design that often takes the longest: getting a team to agree on what to keep, what to change, and why. Its product, D:bo, is not positioned as another AI generator for images or interfaces, at all.

How it works

• The company's premise is easy to understand if you have worked inside a product organization.
• The next project starts, a similar disagreement returns, and people reopen work that was already settled.
• During execution, the company says it follows the work and decisions that emerge across a team's workflow.
• I met Takeanap CEO Saemi Jung in person at the 2026 Pangyo Global Media Meetup, where she explained that the company grew out of her experience working across design, development, and marketing.
• Instead, the South Korean startup wants to capture the decisions, feedback, and revision intelligence that accumulate after a design is generated, then turn that material into reusable team knowledge.

What to take from it

A designer may receive comments in Figma, a product manager may explain a change in Slack, and a leader may make the final call during a meeting. In the planning phase, it structures a request around context and scenarios. In the reflection phase, it turns feedback and outcomes into reports that can inform the next project.

Details worth keeping

That is the business opportunity that Takeanap sees. Weeks later, the team remembers the result but not always the reasoning. Takeanap says D:bo is meant to make that reasoning visible.