Qonera stress-tests AI-assisted analysis against your files, multiple AI models, and live evidence — flagging outdated versions, conflicting internal data, and weak assumptions before anything is shared.
Multiple AI Models
Parallel, independent
Green · Orange · Red · Outlier
Conflict heatmap per finding
Zero
Client errors that got through review
The problem
AI systems hallucinate. They operate on stale data. They don't know what they don't know. In professional environments — where a wrong assumption can cost a client deal, a signed memo, or a fund allocation — "probably right" isn't good enough.
What AI produces
What Qonera checks
What your team sees
Product
Qonera doesn't just read your files — it audits them. It flags outdated versions, conflicting assumptions, and questionable source sets before the analysis begins.
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.
The Green / Orange / Red / Outlier confidence map applied to every finding. Per-claim citations, clickable. See exactly where models agree, diverge, or flag weak evidence.
The supervisor approval workflow. Nothing leaves without a named sign-off. Full audit trail. Every delivered piece of work is traceable to a human reviewer.
"We don't just check the AI's answer — we check whether the team gave the AI the right evidence to begin with."
Workflow
01
Before anything runs, you configure the workspace for the client or project. Set the voice, define what's off-limits — words to avoid, topics that are legally sensitive, brand rules, competitor references to flag. Every client/project can have its own ruleset. Qonera applies those rules as a filter across the entire workflow.
02
Drag in the documents, data exports, or research that the analysis should be grounded in.
Every model works from the same latest approved files
Keep the source set consistent across models, so the review is based on the same current evidence.
03
Before any model runs, Qonera checks file versions, timestamps, and internal conflicts in your document set. Stale files are flagged. Contradictions are surfaced. The source set has to be clean before the analysis starts.
04
Give your instructions or pose your question. You can ask analytically, request a draft, or set a specific task. Qonera routes everything to your selected model ensemble with the client profile rules and clean source set already applied.
05
Multiple AI models independently analyse the question against your documents, with no cross-contamination between them. Each model forms its own view. The logic is tested from every angle.
06
Every claim is tagged Green, Orange, Red, or Outlier based on how models agree or diverge, with per-claim citations.
07
Qonera synthesises one reviewed answer from the model outputs — every finding linked to a source, every claim traceable. No unsupported conclusions reach the reviewer.
08
The named supervisor reviews flagged claims, approves, annotates, or sends back for revision. Once approved, the signed answer is delivered with a full audit trail. Nothing leaves without a named sign-off.
Use cases
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 catches those claims before they leave your team.
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.
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.
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.
Pricing
All plans include multi-model stress testing, conflict heatmap, source integrity by default, live search, per-claim citations, and cross-project file comparison.
Founder Member Programme
One month free by invitation only.
100 questions
2 folders
Solo
Everything you need, none of the overhead.
250 questions
3 folders
Pro
For small teams doing high-stakes work.
600 questions
8 folders
Agency
The full Qonera stack for client-facing teams.
1,500 questions
20 folders
Firm
For professional services firms that need scale.
4,000 questions
50 folders
Enterprise
Built to your requirements.
Unlimited questions
Unlimited folders
Deep research questions use 2.5× from your question pool. All plans include GDPR compliance from day one.
Billed monthly. Cancel any time.
We'd love to walk you through it
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About
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.
Get started
Qonera — the review and approval layer for AI-assisted professional work.
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