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VER_1_0_0
MAVENN.AI // CONSENSUS ENGINE
MULTI-MODEL CONSENSUS

AI
Consensus
Engine

Submit a question, select your models, and watch them debate until they reach consensus — with every claim traced to its source.

Mavenn is in private beta. Join the waitlist — invites roll out in waves.

CAPABILITIES // V1.0

Core Features

01CORE
ORCHESTRATED DEBATE

Multiple AI models engage in structured rounds of argumentation, each building on previous responses to reach consensus.

02LIVE
REAL-TIME CONSENSUS

Watch the debate unfold live via WebSocket streaming. See each model's position evolve as they converge on shared ground.

03OUTPUT
ATTRIBUTED INSIGHTS

Every claim in the final summary traces back to the model that contributed it. Full transparency on who said what.

WORKFLOW // PIPELINE

How It Works

// HOW IT WORKS
01
Submit Question

Pose any question or topic. Select 2–3 AI models to participate in the debate.

02
Models Debate

Each model presents its position, responds to others, and refines its arguments across structured rounds.

03
Consensus Reached

The system detects when models converge on shared conclusions, ending the debate automatically.

04
Attributed Summary

Receive a final synthesis with every claim attributed to the model that contributed it.

PLATFORM // METRICS

By The Numbers

ModelsLIVE
12+
PerformanceAVG
< 45s
QualityTARGET
99.2%
ANALYTICS // MODEL PERFORMANCE

Model Scoreboard

SORT
#MODEL1ST ROUND ACC.ROUNDSWIN RATEDEBATES
1Claude 3 OpusAnthropic83.7%
SLOW 3.171.8%756
2Claude 3.5 SonnetAnthropic81.2%
AVG 2.485.3%1,183
3GPT-4oOpenAI78.4%
FAST 1.872.1%1,247
4Gemini 1.5 ProGoogle74.6%
AVG 2.268.4%892
5Llama 3.1 70BMeta68.9%
SLOW 3.477.6%634
6GPT-4o MiniOpenAI62.3%
FAST 1.658.9%2,034
6,746TOTAL DEBATES
74.9%AVG 1ST ROUND
2.4AVG ROUNDS
6MODELS TRACKED