About

About Qonera

Qonera is the review and approval layer for AI-assisted professional work.

Qonera was built on a simple observation: the teams adopting AI fastest are often the ones most exposed when it gets something wrong. Marketing and advertising agencies shipping client work. Consulting firms delivering strategic analysis. Investment Research Teams producing memos, market views, and recommendations. PR & Communications Agencies managing narratives, press releases, and public-facing content.

In each case, the risk isn't that AI is bad. It's that AI is confidently wrong — and there's no systematic review layer between the model's output and the client's inbox.

Qonera is that layer. We built a review and approval system that stress-tests AI-assisted analysis against your own files, runs it through multiple independent models, maps every conflict and weak assumption, and requires a named human sign-off before anything is shared.

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

From confidently wrong to verifiably right.

How we do it

The four layers of professional review

01

Source Integrity by Default

Qonera doesn't just read your files — it audits them. It flags outdated versions, conflicting assumptions, and questionable source sets before the analysis begins. The right answer built on the wrong evidence is still wrong.

02

Multi-Model Stress Test

Every question runs through multiple independent AI models simultaneously. Each model analyses your question and documents on its own — answers are genuinely independent, not influenced by each other. Consensus builds confidence. Divergence flags risk.

03

Conflict Heatmap

The Green / Orange / Red / Outlier confidence map applied to every finding. Where models agree, you see green. Where they conflict, orange or red. Outlier flags the edge cases. Every claim is clickable — down to the source document and passage.

04

Partner Sign-Off

The supervisor approval workflow. Nothing leaves without a named sign-off. The reviewing partner sees the full conflict map, the source audit, and the model divergences — then approves or requests revision. Full audit trail generated automatically.

Who we serve

Built for the teams where being wrong is expensive

Marketing & Content Agencies

The last time AI got a client claim wrong — what did it cost you?

When a client deck ships with a fabricated stat or an AI-invented benchmark, the agency pays — in credibility, in revisions, in the relationship. Qonera integrates into your production workflow and catches those claims before they leave your team.

Qonera audits every source document before the analysis runs. It cross-checks claims across multiple models and flags any finding that one or more models couldn't verify. Reviewers see exactly which claims are solid and which need attention — before the deck goes out.

Consulting & Advisory Firms

Your AI research only knows what's in your documents. Qonera checks what they're missing.

Consulting deliverables are only as credible as their source set. Qonera audits your document base and flags the gaps, the conflicts, and the outdated assumptions before the deck is presented.

The source integrity audit runs before any model analysis, catching version conflicts, missing context, and weak evidence sets. The conflict heatmap makes divergence visible at a glance. Partner sign-off ensures every deliverable has a named reviewer on record.

Investment Research Teams

Your investment memo is only as strong as the assumptions it's built on.

A wrong comparable, a stale growth number, an AI-hallucinated market size — in an investment memo these aren't typos, they're liability. Qonera runs every claim against your source documents and flags the weak ones.

Qonera's multi-model approach means that a claim has to survive independent scrutiny from multiple models before it clears green. Orange flags require reviewer attention. Red means the claim couldn't be verified against your documents. Nothing goes into a memo unreviewed.

PR & Communications Agencies

One wrong claim in a press release can undo months of reputation work.

PR teams move fast, but a misquoted stat or an unverified claim in a media pitch can spiral into a correction cycle. Qonera verifies every factual claim against your source materials before it goes public.

Qonera audits every data point in your press materials against uploaded source documents. Claims that can't be verified get flagged before distribution. Your team sees exactly what's solid and what needs a second look — so nothing goes out that could become a retraction.

From confidently wrong to verifiably right

Join the early access programme and see Qonera running on your own documents.