Where AI-ready teams manage their context.

Galaxy is shared context management for intelligent systems. It provides the semantic backbone that connects data, context, and relationships into one coherent model - so every system you build can reason, coordinate, and evolve from a shared understanding of the world. Galaxy connects to your existing data sources, extracts entities and relationships, and represents them as a context graph that teams and AI agents can query directly.

Enterprise context management is the practice of defining, connecting, and governing the meaning behind your organization's data in a single shared layer. Rather than letting each tool or team interpret data independently (leading to conflicting definitions, duplicated work, and unreliable AI outputs), a context management platform connects entities, relationships, and business logic across systems into one living model. Learn more about how context management works.

Teams and AI agents can then operate from the same understanding without rebuilding context from scratch. Galaxy provides this layer by ingesting data from across your stack, extracting structure and meaning, and representing it as a connected context graph that evolves as your business does.

Galaxy connects to your existing data sources and APIs and builds a shared context graph across your company’s systems and processes. It runs alongside your current stack, learning entities and relationships from what already exists.

Galaxy can run in your cloud and be queried or extended directly to power analytics, applications, and AI. It is built as automated, distributed infrastructure, serving as a stable foundation that evolves as your data and organization change.

Modern teams struggle to make decisions because information is fragmented across many systems with inconsistent definitions and duplicated entities. Business logic often lives in people’s heads or within siloed teams, making it hard to reason consistently or collaborate effectively.

AI amplifies this issue because agents can’t reliably operate on inconsistent, siloed knowledge, so they inherit the same inconsistencies that already slow teams down.

Galaxy fixes this by turning business context into infrastructure that keeps people and AI aligned on the same definitions across systems, enabling better collaboration, safer automation, and more reliable decision-making as organizations evolve.

With Galaxy in place, you can build analytics, intelligent copilots, and entity resolution workflows powered by shared context. For example, a financial services team might use Galaxy to connect SEC filings, CRM records, and market data into a unified investment research graph. A software company might connect product usage, billing, and support data to understand what's driving churn.

Your context graph serves as the foundation for data integration, cross-company analysis, agent infrastructure, and knowledge capture across teams. Because entities and relationships are captured in one shared model, integrations are simpler, reporting is more consistent, and AI operates on structured, governed context instead of fragmented data.

Being AI-ready means your organization has shared, reliable context that AI systems can use without guesswork. Entities, relationships, and business definitions are modeled in infrastructure, not buried in dashboards, pipelines, or individual prompts.

When your organization is AI-ready, people and AI systems operate from the same understanding of how the business works. This makes analytics consistent, automation safer, and AI behavior explainable and reproducible as systems, data, and processes change.

Whether you’re an AI engineer, analyst, or CXO, being AI-ready is no longer optional. Galaxy provides the foundation to get there.