About Quorello

Our mission is simple: reduce your dependence on any single AI. Quorello puts your question to several AI models from independent providers at once and shows you where they agree, where they diverge, and how confident to be.

Why we exist

Most people ask one AI and trust the answer. For casual questions, that's fine. For consequential work — a tax position, a contract clause, a compliance question, a decision your client is paying you to get right — it's a hidden risk.

Every model has blind spots. Each is trained on different data, tuned by a different lab, and confident in ways that don't always track with being correct. When you rely on a single vendor, you inherit that one model's blind spots without ever seeing them. A wrong answer and a right answer look identical: both arrive fluent, formatted, and sure of themselves.

The missing layer is a neutral cross-check. When several models from independent providers answer the same question, agreement is a signal you can lean on, and disagreement is a flag worth investigating before you act. Quorello turns that comparison into a Consensus verdict with an explicit agreement level — so the places where the AIs quietly disagree become visible instead of hidden.

To be clear about what that does and doesn't do: cross-checking helps you catch and reduce errors. It does not eliminate them. The professional still reads, judges, and signs off. Quorello is a verification layer, not a replacement for expertise.

What we believe

Three principles shape everything we build. Our privacy principles page spells out the data commitments below in full; here is the short version of all three.

• Neutrality by design. We cross-check models from independent providers and surface where they disagree. A single-vendor tool structurally can't do this — it has every reason to make its own model look best. We have none.
• Privacy as a precondition, not a feature. Sensitive questions demand it. Private mode is on by default: requests route only to Zero Data Retention provider endpoints that don't retain your prompt or train on it, and those conversations aren't saved to history. We don't sell data and don't use prompts to train models.
• Honesty over hype. We say what the tool actually does — catch and reduce errors, surface disagreement — and refuse the claims that sound better than they are. If cross-checking can't help with something, we won't pretend it can.

Swiss-built

Quorello is built in Switzerland, and that shapes how we treat your data. We're aligned with both the Swiss Federal Act on Data Protection (FADP) and the EU's GDPR, and we take European and Swiss data-protection expectations seriously rather than as an afterthought.

In practice that means privacy-first defaults, uploaded files extracted in memory and never written to disk, and self-service account deletion under GDPR/FADP Article 17. Our sub-processors — for routing, hosting, the database, optional sign-in, and billing — are listed openly in our privacy policy. We describe the safeguards we actually have and don't claim certifications we don't.

How we're different from a single AI vendor

The difference is structural, not marketing.

We don't own a model, so we have no favourite. That freedom is the whole point: it lets us show you the disagreement a single vendor has every reason to hide.

We're an early-stage, deliberately lean operation, and we'd rather earn trust by being straight with you than by overstating what we are.

See it for yourself

The fastest way to understand Quorello is to ask it something that matters to your work and watch the models line up — or fail to.

Don't bet your business on one AI's blind spots.

Try Quorello with your own high-stakes question, or read the privacy principles that govern how we handle your data.