About

About Qonera

Qonera is the AI governance platform for professional teams.

Qonera was built on a simple observation: the teams adopting AI fastest are often the ones most exposed when it gets something wrong.

We built Qonera to be the AI governance platform for professional teams. At the centre of that is a structured review and approval workflow. Before any work is shared, evidence is checked, outputs are either stress tested across multiple models or reviewed by a named peer model, conflicts and unsupported claims are flagged, and a named reviewer signs off. Every step is captured in a tamper evident audit trail, creating the governance evidence companies need for client accountability, audits and compliance readiness.

The Evidence Base sits at the centre of that: a structured, versioned store of the knowledge your team actually works from. When AI assisted work produces a deliverable, it should be traceable back to something your team owns and stands behind. Without that, you're moving fast, not moving right.

Built in Europe. GDPR native. Designed for teams where getting it wrong is expensive.

We don't replace the AI. We make its output defensible.

From confidently wrong
to verifiably right.

How we do it

The five layers of professional review

Evidence Base. Source integrity auditing. Two chat modes: Multi Model Stress Test or Single Model with Peer Review. A conflict heatmap that tags every claim Green, Orange, Red, or Outlier. And a named sign off with a tamper evident audit trail.

“We don't just check the AI's answer. We check whether the team gave the AI the right evidence to begin with.”

The full governance chain

Before generation

Evidence vetted

Source documents are audited for conflicts, staleness, and version mismatches before any model runs.

During generation

Two chat modes

Multi Model Stress Test (three models in parallel) or Single Model with Peer Review (one model plus optional named peer turns).

Before delivery

Human sign-off

The structured review workflow puts a named reviewer between AI output and delivery, governed by per-workspace approval policies.

After approval

Tamper-evident audit

Every step recorded in a hash-chain verified, append-only trail. Exportable for client assurance, internal governance, or regulatory review.

Ready to make your AI work defensible?

Join the teams where being wrong is not an option.