Vurge AI

Peer-Reviewed AI for High-Stakes Decisions

Rival models cross-check every answer before you see it

Frontier models answer your question independently, then argue over each other's reasoning until they agree. You get one answer, along with the full rationale behind it.

Analyses

300 free credits. No credit card.

Professionals acted on these wrong answers

  1. Legal research (source: 1011 Now, Nebraska, opens in a new tab)

    Here are the precedents that support your appeal.

    Opposing counsel flagged 57 of the brief's 63 citations, and the court struck it and ruled against the client. The lawyer was suspended from practicing law.

  2. Medical research (source: OECD AI Incidents Monitor, opens in a new tab)

    Old left basilar ganglia infarct.

    The term merges two separate parts of the brain, and it appeared in a published research paper. A doctor could not tell which stroke the scan showed.

  3. Consulting report (source: Associated Press via CTV News, opens in a new tab)

    Sources and citations attached.

    Reviewers found citations to academic papers that do not exist and a quote the report made up. The firm refunded part of its A$440,000 government contract.

A single model has nothing checking its work, so it states a wrong answer with the same confidence as a right one.

In Vurge, rival models review each other's reasoning before you see an answer.

Track each model's position, round by round

Frontier models answer on their own, then review each other until they agree. After every round, you see whether each model defended its position, refined it, or changed its mind.

One question, four rounds. A clarification step, three independent first answers, peer review in rounds two through four, then a single synthesized response.

When a model was wrong, it says so, and says why

Every change of position cites the points from other models that caused it, so you can check the reasoning yourself before you rely on the answer.

Disagreement
Which model held which position, round by round.
Evidence
The specific points from other models that changed a position.
Admission
Where the original reasoning went wrong, in the model's own words.
Claude in round two, after GPT and Gemini challenged its identification of a part from a photo.

Follow a debate live, with its progress and cost on screen

Here, three models disagree on where to store user sessions and agree by round three.

Round navigation
Jump between rounds to see how each position evolved.
Live metrics
Elapsed time, credits, and consensus status update as the debate runs.
Consensus detection
You see the moment every model agrees, or where they still don't.

You spend less time checking the answer yourself

Review drops the weak claims before you see the answer, so you ask fewer follow‑up questions.

"The output is great. It was more complete than Claude alone and anticipated follow-up questions I had to ask Claude to get to the same level of detail."
Claudia Product Manager
"It drastically cuts down market research time and we know we can trust what it gives us."
Dave Analyst, EY

300 free credits. No credit card.

How a question becomes one reviewed answer

Four stages, and you can open the record of every one of them.

  1. Clarification

    If your question is missing context the answer depends on, Vurge asks you for it before any model starts working.

  2. Independent analysis

    Every model gets your question at the same time and answers it without seeing the others, so no model's first answer is shaped by another's.

  3. Peer review

    Each model reads the others' answers, challenges weak reasoning and unstated assumptions, and revises its own position. Rounds continue until the models agree or the round limit is reached, and any remaining disagreement is written down.

  4. Synthesis

    You get one answer built from the points that held up in review. Every round, agreement, and disagreement stays available to read.

Every model checks the others against your own files

Add your files to a project once, and every model in the debate reads all of them.

Claims checked against your files
Your files stay available in every round of review, so a claim one model makes about your documents can be checked against the documents themselves.
One set of facts for every model
Every model in the debate works from the same project, so no model reasons from a different version of your situation.
Searched while the models reason
Models that support the Model Context Protocol query your project through the Vurge MCP server as they write, and the others receive the most relevant passages.

Point your OpenAI client at Vurge by changing two lines

Your request goes to a panel of frontier models, and one reviewed answer comes back.

Streaming
Real-time SSE responses, just like OpenAI.
File attachments
PDF, Excel, Word, PowerPoint, and images.
Reasoning tiers
Simple, Standard, or Deep: choose your accuracy level.
Progress events
Optional streaming of peer review progress and agent status.
app.py 2 lines changed
from openai import OpenAI   client = OpenAI(     base_url="https://vurge.ai/api/v1",     api_key="vurge_..." )   response = client.chat.completions.create(     model="vurge-standard",     messages=[{"role": "user", "content": prompt}],     stream=True )

Bring your own keys

Add your own OpenAI, Anthropic, Google, or OpenRouter keys, and debates run under the rates and compliance terms you already have.

  • OpenAI Your enterprise rates
  • Anthropic Your enterprise rates
  • Google Your enterprise rates
  • OpenRouter One key, 300+ models
Mix your keys with ours
Add a key for one provider and not the others, and Vurge runs the remaining models on credits at standard rates.
Flat per-round fee
We charge 10 credits for each completed round in which any call runs on your keys, whatever the token count, and refund it if the debate fails on our side.
No token markup
Your provider bills calls on your keys at your rates, and Vurge adds nothing beyond the per-round fee.

Bring your own models

Choose from 300+ models for each debate agent, including GLM, Kimi, and DeepSeek, and every one goes through the same peer review.

  1. Agent 1 GLM
  2. Agent 2 Kimi
  3. Agent 3 DeepSeek
Cross-provider debates
Models from different providers review each other in the same debate.
Reasoning effort set for you
Simple, Standard, and Deep set the reasoning effort for each model you pick.
Matched to each model
Vurge leaves out images for a model that cannot read them and sends reasoning settings only to models that accept them.

Pay per question, with no monthly plan

Subscribing to ChatGPT, Claude, and Gemini separately costs about $60 a month. A typical Standard debate in Vurge costs about 70 cents.

300 credits, free

No credit card required. Credits never expire.

Get Free Credits

More credits

100 credits for every dollar, in any amount from $10 in $5 steps.

A typical Standard debate uses about 70 credits. Deep costs more and takes many minutes.

Enterprise

Custom pricing for teams of 5+ users.

  • BYOK (use your own API keys)
  • Team workspaces
  • SSO/SAML
  • Priority support
  • 99.9% uptime SLA
  • Volume discounts
Contact Sales

Q&A

  • Asking separately gives you three answers and leaves the comparison to you. In Vurge the models critique each other's answers and revise their positions until they agree or reach the round limit, and you get one answer that notes any remaining disagreement.

  • No. Credits stay in your account until you use them, and there is no monthly plan.

  • After the final round, Vurge writes one answer that states where the models still disagree and why. Knowing where strong models disagree is often the most useful result, because it shows which part of the decision still needs your judgment.

  • It reduces them, though nothing removes them completely. A fabricated fact from one model has to get past the others, and they often flag it. Disputed claims stay in the debate record, so you can check them before relying on the answer.

  • Vurge follows the same content policies as OpenAI, Anthropic, and Google and does not bypass their safety filters. For legal, medical, and financial decisions, use Vurge to prepare and check your research, then confirm the decision with a licensed professional.

  • No. You type a question the same way you would in any chat app, and Vurge runs the debate.

  • No, you don't need API keys or any subscription with the model providers.

  • Yes. Conversations are encrypted in transit and at rest, and we neither train AI models on your data nor share it with third parties. Enterprise customers can also use their own API keys, so model calls run under their own provider accounts and terms.

Have rival models review your next high-stakes decision Start with the question you cannot afford to get wrong

300 free credits. No credit card.