Multi-model Inference Reliability & Agreement Gate Engine

The control layer for AI decisions.

MIRAGE sits between AI inference and real-world action. It detects material disagreement, selectively routes uncertainty and governs whether critical outputs are allowed to proceed.

Patent application filedModel agnosticRuntime assurance
MIRAGE CONTROLDecision #8472
REVIEWING
Candidate outputs
Model AApprove0.94
Model BApprove0.89
Model CReject0.71
Model DApprove0.91
Material disagreement detectedSelective validation triggered
ScopeConstrained
RoutingSelective
AuditActive
Release gateOutput verified
RELEASED
The problem

AI can generate an answer.
That does not make it a decision.

Traditional AI pipelines often treat model output as the end of the process. MIRAGE adds a control layer that can detect meaningful disagreement, isolate uncertainty and determine whether an output is ready to move downstream.

01InferenceCandidate outputs
02MIRAGEControl & validation
03DecisionControlled output
04ActionDownstream system
MIRAGE Core

Conflict becomes a controlled execution path.

The system does not simply compare answers. A detected conflict changes what happens next.

01

Detect

Identify material disagreement across models or agents before an output reaches a downstream process.

02

Constrain

Turn the conflict into a controlled, verifiable execution scope instead of reopening the entire problem.

03

Route

Re-evaluate only the uncertain dimensions through additional models, evidence or human oversight when required.

04

Release

Govern whether the final output proceeds, remains uncertain, is annotated or requires escalation.

See the MIRAGE architecture →
MIRAGE

AI decisions you can verify.

From probabilistic output to controlled decision.

Protected technology

Patent application. Proprietary know-how.

MIRAGE is designed as protectable infrastructure, not as a thin orchestration layer around third-party models.

Patent application filed

Multi-model Inference Reliability & Agreement Gate Engine

The public architecture covers the core technical effects: conflict handling, controlled execution, selective routing, model-independent validation, release gating and auditability.

Research & IP →
01Model-agnosticDesigned to operate across different model providers and model classes.
02Selective by designOnly uncertain dimensions need deeper re-evaluation.
03AuditableRelevant decision paths can retain an inspectable execution trail.
Applications

One core.
Different decision environments.

The first verticals demonstrate that MIRAGE is an infrastructure layer, not a domain-specific product.

Powered by MIRAGEFuelDesk / PriceMaker

Energy decision intelligence

Market analysis and operational pricing decisions in a volatile, data-rich environment.

Open interactive demo →
Powered by MIRAGESTARTON

Project assessment

AI-assisted evaluation of complex projects and public-funding eligibility.

Open interactive demo →
Strategic collaboration

Built to partner.

MIRAGE is being developed for collaboration with industrial partners, technology companies, research institutions, public innovation programmes and selected investors.

MIRAGE

From AI output to controlled decision.

Partner with MIRAGE →