We built PrintAIr because
posting was the bottleneck.
Not the AI part. The trust part. Teams won't ship AI-written posts to their real audience without someone reading them first — so we built the queue first, and the model second.
PrintAIr started at the Wiro AI hackathon as a generative-media project: one prompt, native cuts for every social feed, the whole thing fanned out in parallel. We expected the AI part to be the hard problem. It wasn't.
The hard problem turned out to be trust. So we built the approval queue: every generated post lands in front of a human — with the platform-native preview — before anything publishes. After we shipped that, the product started getting used in production.
AI is the cheap part. Taste, gating, and brand voice are where the value is. Every feature we've built since exists to give the human at the gate better tools — not to remove them.
What we believe
- 01
One brief, native cuts.
Each platform speaks differently — character limits, voice norms, aspect ratios. We rewrite per platform automatically so you never copy-paste.
- 02
Humans hold the send button.
Generation never publishes. Approval is mandatory and lives in two places — wherever you are when the draft lands.
- 03
Your data is yours.
Posts, prompts, and generated media live on your account. They are not used to train models. The privacy policy spells out the full lifecycle.
- 04
Boring infrastructure, sharp surface.
Postgres, Redis, RabbitMQ, MinIO — the plumbing is mature. The user-facing surface is what we sweat.
Small. Mostly engineers.
Engineers who got tired of dropping copy into thirteen different windows. Reach out if you want to know more — or if you're hiring people who care about the gate between automation and brand voice.