Galiark
Galiark provides a deterministic AI decision infrastructure platform powered by its Mobius causal reasoning engine, helping organizations make consistent, traceable, and defensible decisions. The platform connects enterprise data, rules, systems, and workflows to deliver complete context and human oversight for complex, high-consequence decisions. Galiark is built for regulated environments like healthcare, tax, and financial services where decisions must withstand scrutiny.
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Founders
Product
Problem
Consequential organizational decisions require more than what current AI systems provide. Large Language Models can generate answers, but they lack complete context, consistent application of rules, clear reasoning, human oversight, and a defensible record of how outcomes were reached—all essential for regulated and high-consequence environments.
Solution
Galiark provides the world's first deterministic AI engine for trusted, repeatable, and auditable decisions. Powered by its Mobius causal AI reasoning engine, the platform connects enterprise data, rules, systems, and workflows to deliver deterministic intelligence within real operational environments. Galiark brings together the full context behind every decision—what happened, why it happened, what could change the result, what may happen next, and when human review is needed—then connects that intelligence to existing workflows and oversight processes. The platform helps organizations move from probable answers to outcomes they can examine and stand behind, with consistent application of evidence and rules, traceable reasoning, and built-in accountability.
Target Audience
Primary customers are organizations in regulated and high-consequence environments, including healthcare, tax, financial services, government, defense, and critical infrastructure, that need decisions to be consistent, traceable, and defensible.
Features
- Deterministic AI engine that applies the same evidence and rules consistently across every decision
- Causal reasoning engine (Mobius) that traces each conclusion through the information and reasoning behind it
- Connected context layer that unifies policies, evidence, events, relationships, past actions, and changing conditions
- Early identification of complex cases, surfacing missing evidence, uncertainty, and exceptions for human review
- Consequence modeling that explores how decisions could affect the wider organization over time
- Human oversight built into the process, keeping people accountable at points where judgment matters most