다시 · again

Approach

AI should serve the people doing the work.

다시 — dasi, meaning ‘again’. Handwritten by the founder’s grandmother.

DASI means again.
A second beginning. A return.
We are a home for dreamers.
And a partner for what comes next.

How we work

Understand before recommending
We start by learning how work actually moves through your organization, not how it looks on paper. Nothing gets recommended until we’ve seen it.
Build on what exists
Most teams already have tools, templates and habits that work. We start there instead of from scratch.
Honest about where AI fits
Some work should stay human, and we’ll say so. Every recommendation gets a clear call: automate, augment, consolidate, eliminate, or keep manual.
Show value early
We aim to ship a first quick win in the opening weeks, so you see results before the roadmap is finished.
Stay until it sticks
A recommendation only matters if your team uses it. We build, train your team, and stay through adoption.

Every opportunityHow work actually moves today

Legacy
We build things meant to outlast our time with you, and leave your team able to run them.
Memory
Every engagement starts with your story. We learn where you’ve been before suggesting where to go.
Nostalgia
Some things are worth keeping. We don’t replace what works just because something newer exists.
Perseverance
Many of the people we work with are trying again. We’re built for second attempts, and we stay through the hard parts.
Sanctuary
Bring an unfinished idea or a hard question about AI. What you share stays between us.

A team of experts who’ve worked at — and alongside — the world’s most innovative companies.