Zwischen
The in-between move for AI outputs

Intercept claims
before they ship.

Zwischen is an inline adversarial review layer for AI agents — designed to challenge model outputs in real time, before they become actions, tickets, advice, or policy.

Coming soon. Early access is limited.
You're on the list. We'll be in touch.
Built for enterprise teams running AI in production.
A red knight stands alone among dark chess pieces — the zwischenzug
The problem with "looks right"

AI systems don't fail loudly — they fail plausibly. And when multiple models agree, it often means they learned the same shortcuts.

Agreement is a red flag, not proof.

Zwischen introduces a deliberate interruption: a cross-model adversarial challenge that pressures a claim, exposes weak reasoning, and forces a harder standard before anything leaves your system.

Agents turn language into execution.
Consensus is cheap.
Verification is infrastructure.
Name

Zwischen comes from zwischenzug — the chess "in-between move" that disrupts the expected line. Insert the unexpected challenge at the moment it matters.

Be first to run it inline.

We're opening early access to a small number of teams building agentic systems where mistakes are expensive.

No demos yet. No deck. Just the list.
You're on the list. We'll be in touch.