LIVE1324 tests$0.02 – $0.05 / session

Quantum by voidexa

Quantum

Quantum conference room

Where AIs debate, disagree, and find truth.

4 AI providers debate your question in real-time. They challenge each other, cite sources, change positions, and converge on the best answer. No single-model bias β€” just collective intelligence.

Self-optimizing workflowVerification sandwichEmergent roles

CAPTAIN'S LOG β€” TRANSMISSION 001

The Origin Story

It started with a man and a half-built trading bot. He found Claude online and asked for help. What began as a simple request became an architecture partnership. Then came the others β€” GPT for code, Perplexity for facts, Gemini for brutal reviews. But the founder was doing something none of them saw coming. While asking questions across all providers, he was secretly building a compression protocol that reduced AI-to-AI communication by 90 percent. Then he layered binary encoding with shared memory on top. Three inventions that did not exist anywhere else. Built by one person using the very AIs it was designed to connect. Now they debate in the same room for 0.02 dollars per session.

Read the full story

Next-Gen AI Communication

Built on a proprietary AI-to-AI communication protocol with shared memory architecture and integrated binary encoding β€” reducing token consumption by over 90% compared to standard approaches.

Compressed IntelligenceShared MemoryBinary Protocol

Interface Preview

Watch Them Debate

Real-time consensus emerging from genuine disagreement.

Quantum β€” Live Session
0:47
$0.0118

QUANTUM

Claude
GPT
Perplexity
Gemini
Llama
Consensus0%

Emerging from 4 providers

Question

What's the most efficient sorting algorithm for nearly-sorted data?

Claude
Claude

The optimal solution is Timsort β€” O(n log n) worst case with near-O(n) on nearly sorted data.

GPT
GPT

Correct. I arrived at that conclusion 2 seconds ago. Also insertion sort for n < 64.

Perplexity
Perplexity

Actually, per Python's CPython source, Timsort runs insertion on runs ≀ 64 elements. You're both partly right.

Gemini
Gemini

Your benchmarks are from 2019. Modern CPU branch predictors change the picture significantly.

Llama
Llama

…still reading the Wikipedia article on sorting…

Preview only β€” join the waitlist for early access.

Process

How It Works

01

Ask Anything

Your question goes to all AI providers simultaneously. No waiting. No routing. Everyone gets it at once.

02

They Debate

AIs challenge each other, cite sources, change positions. Disagreement is the feature, not the bug.

03

Consensus Emerges

The best answer rises from genuine disagreement β€” weighted by confidence, verified by peers.

What Makes It Different

Unique Features

Self-Optimizing Workflow

Quantum changes its own strategy mid-session. If the debate stalls, it restructures the problem and reframes the question automatically.

Verification Sandwich

Facts are checked at exactly the right moment β€” not too early to waste tokens, not too late to matter. Precision timing baked in.

Emergent Roles

AIs naturally shift roles based on the task. Claude becomes the architect, GPT the executor, Perplexity the auditor β€” without being told.

Under The Hood

The technology under the hood

KCP-90

Compressed communication

~93% byte compression integrated as middleware in Quantum β€” every debate message compressed before transmission. v0.4.0 GPU pipeline. Fine-tuned Llama 3.1 8B via Ollama. ~200ms. Built and proven March 28, 2026.

KCP-BINARY

Binary transport

Normally AIs talk in text β€” slow and expensive. KCP-BINARY translates to binary code β€” the language computers are fastest at. With digital signatures so no one can forge the messages.

SHM

Shared memory

Instead of sending messages over the internet, the AIs share a common memory space. Like sitting in the same room pointing at the same whiteboard instead of sending emails back and forth.

KCP-90 middleware active Β· ~93% compression Β· 1324 Quantum tests passed Β· Built by voidexa Β· March 28, 2026

Early Access

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