Galiark launches next-generation deterministic AI for trusted enterprise decision making
A disruptive new AI infrastructure designed to transform the systems that run the world
RENO, Nev., Aug. 13, 2026 (GLOBE NEWSWIRE) — Galiark Corporation today announced its official launch, introducing a next-generation deterministic AI engine designed to help organizations make complex decisions with greater consistency, transparency and 100% accountability.
From healthcare and financial services to government, defense and critical infrastructure, organizations are increasingly turning to AI to support and run consequential decisions. Yet most current AI systems are probabilistic: highly capable at generating and interpreting information, but are not designed to produce the same reasoned outcome from the same evidence and rules every time.
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At the heart of its technology is Mobius ™ , Galiark’s proprietary deterministic reasoning engine. Mobius connects data, evidence, rules, events and relationships through time, enabling organizations to understand what happened, why it happened, what could change the outcome and what may happen next.
The result is a disruptive new approach to enterprise AI : an engine designed not simply to generate an answer, but to support decisions that can be repeated, traced, tested and defended – delivering a level of auditable and accountable decision intelligence that has, until now, been out of reach for conventional AI.
“Most of today’s AI conversations have focused on querying. But the institutions that run healthcare, finance, government and critical infrastructure face a different challenge: they have to make consequential decisions and stand behind them,” said Jason Scott, Co-Founder of Galiark. “Galiark was built for that problem. Our Mobius Engine reasons from evidence and rules, shows how the outcome was reached and keeps human accountability where it belongs. That is a fundamentally different proposition to what’s currently on the market.”
Mobius combines four connected reasoning capabilities designed for complex decision environments:
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