Agents are overly confident and under-informed
Everyone is feeling pressure to ship AI agents but most organizations are building them on top of fragmented, inconsistent, and incomplete data. The data models of the past were never made to power intelligent and autonomous, workflows, resulting in agents that are overly confident while generating incorrect answers. This creates a real compliance risk and loss of trust.
Verifiable and trustworthy AI agents
Instead of building agents on top of fragmented and disconnected data, Galaxy enables teams to power their workflows with a unified context graph.
AI agents can reason reliably through graphs. When relationships are encoded in infrastructure, agents can move across connected entities, follow dependencies, and reason within the full structure of the organization. The result is answers that are more consistent, explainable, and aligned with how the business actually operates.
Knowledge and information teams that need a central place to manage definitions as their systems evolve.
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Galaxy is designed to solve problems across the data and AI infra stack.





