Patent-pending technology

Better answers through AI consensus

One API call. Multiple frontier models collaborate, debate, and refine until they converge on a response that outperforms any single model.

Try Playground → See how it works
request.py
import requests

response = requests.post(
    "https://llmconsensus.io/v1/orchestrate",
    headers={"X-API-Key": "orch_your_key_here"},
    json={
        "prompt": "Analyze the legal risks of using LLMs in contract generation",
        "mode": "balanced",  # fast | balanced | deep
        "domain": "legal"
    }
)

data = response.json()
print(data["answer"])           # Consensus response
print(data["metadata"]["quality_score"]) # 0.91
How it works
Five stages. One superior answer.
01

Parallel Generation

Your prompt is sent to multiple frontier models (GPT-4o/5.2, Claude Sonnet/Opus, Gemini Pro) simultaneously, each with a specialized role: Analyzer, Implementer, Critic.

02

Multi-Dimensional Evaluation

An independent judge evaluates each response across 5 dimensions: coherence, relevance, accuracy, completeness, and actionability — weighted by domain.

03

Cross-Verification

Responses are compared to detect contradictions and unsupported claims. Facts agreed upon by multiple models get high confidence; conflicts get flagged.

04

Intelligent Synthesis

The strongest insights from all models are integrated into a single, coherent response that's better than any individual contribution. Contradictions are resolved.

05

Iterative Refinement

The synthesized answer goes through refinement cycles with exponential convergence modeling — stopping automatically when further iteration yields diminishing returns.

Why consensus
Single model vs. orchestrated consensus
Standard approach

Single LLM

One perspective, one set of biases
Hallucinations go unchecked
No self-correction mechanism
Quality varies unpredictably
Blind spots in domain knowledge
LLM Consensus

Orchestrated Consensus

Multiple perspectives with specialized roles
Cross-model hallucination detection
Iterative refinement with convergence
Consistent high quality with scoring
Complementary strengths cover gaps
Pricing
Simple, transparent pricing
Starter
€49/mo
For individuals and small projects
200 requests/month
Fast & Balanced modes
Auto domain detection
Quality scoring
Business
€399/mo
For organizations with critical workloads
5,000 requests/month
Everything in Pro
99.9% uptime SLA
Dedicated support
Usage analytics