Consensus.ai
“The three-AI council that argues until it's right.”
3
Models Per Query
Frontier AI models analyse every single request
3×
[A]Decision Confidence
Higher verified accuracy vs single-model AI approaches
SOC 2
Enterprise Grade
Type A certified with ISO 27001 compliance
The Challenge
Single AI models aren't reliable enough for high-stakes decisions.
Enterprise decision-makers deploying AI for legal, financial, and operational decisions face a fundamental risk: single AI models hallucinate with confidence. They produce wrong answers that sound authoritative, with no signal to distinguish accuracy from error.
Without a verification layer, businesses have no way to know whether an AI response is reliable — only that it sounds plausible.
In high-stakes contexts — contract interpretation, compliance, financial modelling, medical guidance — the cost of getting it wrong isn't a bad recommendation. It's a legal dispute, a regulatory failure, or an operational breakdown.
What We Built
Three models. One verified answer. Full transparency.
ALTIQ designed and built the Consensus.ai orchestration architecture — a system that routes every query simultaneously through three frontier AI models and stages a structured debate between their independent outputs.
Rather than hiding AI reasoning, Consensus surfaces the debate: where models agree, where they diverge, and exactly why — before converging on a verified answer accompanied by a quantified confidence score.
The result is an AI layer that doesn't just answer questions — it shows its work, challenges itself, and only commits to answers it has earned the right to give.
Key Features
What the System Does
Triple-Model Analysis
Three frontier AI models — GPT-4, Claude, and Gemini — evaluate every query independently, eliminating single-point-of-failure hallucination.
Transparent Debate Layer
The system surfaces exactly where models agree and disagree, giving decision-makers visibility into AI reasoning — not just outputs.
Consensus Verification
Answers receive verified status only when substantial cross-model agreement is reached, preventing confident-sounding wrong answers from reaching users.
Confidence Scoring
Every response is accompanied by a calculated confidence score based on the degree of cross-model agreement and reasoning quality.
Full Audit Trail
Every query, model response, and debate outcome is logged with complete reasoning chains — for compliance, legal review, and continuous improvement.
Enterprise Security
SOC 2 Type A and ISO 27001 certified. Flexible data residency options. Zero training on customer data — ever.
Technology Stack[A]
Built on the right tools for the job
ai
backend
frontend
data
infra
altIQ's Role
What ALTIQ Delivered
Full-stack AI orchestration system: multi-model routing layer, structured debate algorithm, consensus verification engine, confidence scoring system, audit infrastructure, and production web interface.
Timeline [A]
6 months
Services Used
Standards & Certifications
More Projects
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