ReplixonReplixon
About us

Research should show its working.

We're three people building a consumer research engine for teams who have to decide faster than fieldwork allows — without pretending a confident-sounding answer is the same as a defensible one.

Why this exists

The question was never “what happened”

Every brand team we spoke to had dashboards. What none of them had was a fast way to find out why— why a pack reads cheap, why a price lands wrong, why one creative pulls and the other doesn't. That answer lived in focus groups: six weeks out, expensive enough to need approval, and by the time it arrived the decision had usually been made without it.

So most decisions got made on instinct, and the research became a justification exercise afterwards. That's the gap we set out to close — not to replace fieldwork, but to make the fast, iterative questions answerable in hours instead of skipped entirely.

The hard part was never generating plausible consumer opinions. Any model does that. The hard part is generating opinions you can trace, defend, and disagree with — which is what most of our engineering has gone into.

What we believe

Four opinions, and what each one cost us to hold

Principles are cheap to write down. These are the ones that changed what we had to build.

So we built

Per-persona drill-down everywhere

Every quote and every respondent in a report is clickable, opening that persona's complete per-question transcript. Nothing in the report is a dead end you have to take on faith.

The team

Three of us

Small on purpose. Everyone here talks to customers, and everyone here ships.

1

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Co-founder

Product & research design

2

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Co-founder

Engineering & AI pipeline

3

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Co-founder

Go-to-market & customers

Where we are

Early, and honest about it

The engine works end to end today: a brief becomes a research design, a matched panel answers it live, and a validated report comes out the other side with every claim checked against the transcripts behind it.

What we're building next is depth in the persona layer — richer memory per persona, and the internal tooling to grow the library carefully rather than quickly. We'd rather have a smaller panel you can trust than a large one you can't.

Know it now.

Bring a question you'd normally run a focus group for, and see what comes back.

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