Geminos Software CEO Stuart Frost explains that human in the loop should not be treated as a temporary safeguard and should be the operating model.

Geminos helps enterprises move beyond AI pilots by improving decision making at scale. Despite significant investments in AI and data initiatives, many organizations are struggling to translate AI capabilities into measurable business value. Executives increasingly want to understand not just what is happening, but why it is happening — and what actions will most likely improve outcomes. Geminos addresses this challenge with two complementary platforms: KnowledgeWay, which uses AI and agent-driven workflows to rapidly capture, curate and share enterprise knowledge via a true Enterprise Knowledge Graph (EKG) CauseWay, which applies Causal AI to operational and strategic decisions that depend on understanding cause and effect KnowledgeWay enables organizations to surface institutional knowledge, policies and best practices through an AI-native semantic layer that can be queried via LLMs or consumed by enterprise applications. This helps improve the consistency and quality of everyday decision making across teams. CauseWay complements this by enabling more complex, data-driven decisions through causal modeling, root cause analysis and intervention testing. By uncovering the discrete relationships between operational variables and business outcomes, CauseWay allows organizations to evaluate potential interventions and make more informed decisions. Together, KnowledgeWay and CauseWay combine knowledge-based and data-driven decision support, allowing enterprises to transform fragmented information and operational data into AI systems that continuously learn from experience and improve outcomes over time.