RIQZ Launches True Random AI Engine, Eliminating Algorithmic Bias

London, United Kingdom — October 11, 2025 — Leads & Copy — RIQZ, an artificial intelligence innovator, has launched its True Random AI Engine, an advancement in decision intelligence designed to eliminate algorithmic bias and establish transparency and fairness in automated systems.

Artificial intelligence has operated within deterministic frameworks for decades. Most AI systems depend on pseudo-random algorithms, creating bias, repetition, and vulnerability within machine-driven decision processes. The RIQZ Real Random Decision Framework challenges this foundation by introducing entropy-based randomness derived from unpredictable sources.

By replacing pseudo-random mechanisms with verified randomness, the RIQZ.com engine ensures that every decision is unique, unbiased, and verifiably independent. This represents a shift in how AI systems think and act, enabling outcomes that cannot be reverse-engineered, anticipated, or influenced by hidden variables.

The True Random AI Engine is designed to enhance decision-making across a range of technological and analytical environments, including cybersecurity, autonomous systems, data science, simulations, and scientific research.

RIQZ’s approach integrates multiple layers of randomization validation, combining quantum-inspired entropy sources with continuous verification algorithms. Its modular architecture allows integration into existing infrastructures through secure APIs, enabling organizations to upgrade their deterministic systems without replacing them.

Randomness, when generated and verified, can serve as a mechanism of trust, protecting systems from bias, manipulation, and predictability. RIQZ’s work represents a shift from probability-based intelligence to entropy intelligence, enabling systems that behave more naturally, adaptively, and fairly.

The introduction of True Random AI marks a pivotal step toward a new era of machine intelligence.

David Smith, Chief of Innovation, can be contacted at media@riqz.com.

Source: RIQZ

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