Detect
Identify material disagreement across models or agents before an output reaches a downstream process.
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.
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.
The system does not simply compare answers. A detected conflict changes what happens next.
Identify material disagreement across models or agents before an output reaches a downstream process.
Turn the conflict into a controlled, verifiable execution scope instead of reopening the entire problem.
Re-evaluate only the uncertain dimensions through additional models, evidence or human oversight when required.
Govern whether the final output proceeds, remains uncertain, is annotated or requires escalation.
AI decisions you can verify.
From probabilistic output to controlled decision.
MIRAGE is designed as protectable infrastructure, not as a thin orchestration layer around third-party models.
The public architecture covers the core technical effects: conflict handling, controlled execution, selective routing, model-independent validation, release gating and auditability.
Research & IP →The first verticals demonstrate that MIRAGE is an infrastructure layer, not a domain-specific product.
Market analysis and operational pricing decisions in a volatile, data-rich environment.
Open interactive demo →AI-assisted evaluation of complex projects and public-funding eligibility.
Open interactive demo →MIRAGE is being developed for collaboration with industrial partners, technology companies, research institutions, public innovation programmes and selected investors.