Context should live in infrastructure, not people.
Galaxy is the data and AI infrastructure that gives humans and machines a shared understanding of how your business actually works.
Context should live in infrastructure, not people.
Galaxy is the data and AI infrastructure that gives humans and machines a shared understanding of how your business actually works.
Context should live in infrastructure, not people.
Galaxy is the data and AI infrastructure that gives humans and machines a shared understanding of how your business actually works.
Backed By
AND LEADERs FROM
Backed By
AND LEADERs FROM
Backed By
AND LEADERs FROM
Frequently Asked Questions
Frequently Asked Questions
What is Galaxy?
Galaxy is an automated data and AI infrastructure platform that builds an ontology-driven knowledge graph, a living world model of your business. This graph captures structure, meaning, and relationships, creating a shared context layer that both people and AI systems can reason over. By putting business context into infrastructure, Galaxy helps organizations be and stay AI-ready. Teams can build agents, analytics, and automation that coordinate correctly, explain their behavior, and evolve as the business changes without constantly reworking logic or pipelines.
How does Galaxy fit in my existing stack?
Galaxy connects to your existing data sources and APIs and builds a shared context graph across your company’s data, 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, allowing teams to rely on it as a stable foundation as their data and organization evolve.
What problem does Galaxy solve?
Modern teams struggle to make decisions because information is fragmented across many systems with inconsistent definitions and duplicated entities. Important context often lives in people’s heads or within siloed teams, making it hard to reason consistently or collaborate effectively. Galaxy brings structure to that complexity by representing business context directly in infrastructure, not in documents, dashboards, or individuals. By aligning humans and AI around the same underlying understanding, Galaxy allows context to scale as organizations grow, enabling better collaboration, safer automation, and more reliable decision-making without breaking shared understanding.
What can I build with Galaxy?
With Galaxy in place, teams can build analytics, intelligent copilots, and resolution workflows that depend on shared context across systems. The ontology becomes the source of meaning that everything else relies on, powering use cases from data integration and cross-company analysis to agent infrastructure and knowledge capture across teams.
What does it mean to be AI-ready?
Being AI-ready means your organization has shared, reliable context that AI systems can use without guesswork. Entities, relationships, and business definitions are modeled explicitly in infrastructure, not embedded in dashboards, pipelines, or individual prompts. When an 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.
What is Galaxy?
Galaxy is an automated data and AI infrastructure platform that builds an ontology-driven knowledge graph, a living world model of your business. This graph captures structure, meaning, and relationships, creating a shared context layer that both people and AI systems can reason over. By putting business context into infrastructure, Galaxy helps organizations be and stay AI-ready. Teams can build agents, analytics, and automation that coordinate correctly, explain their behavior, and evolve as the business changes without constantly reworking logic or pipelines.
How does Galaxy fit in my existing stack?
Galaxy connects to your existing data sources and APIs and builds a shared context graph across your company’s data, 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, allowing teams to rely on it as a stable foundation as their data and organization evolve.
What problem does Galaxy solve?
Modern teams struggle to make decisions because information is fragmented across many systems with inconsistent definitions and duplicated entities. Important context often lives in people’s heads or within siloed teams, making it hard to reason consistently or collaborate effectively. Galaxy brings structure to that complexity by representing business context directly in infrastructure, not in documents, dashboards, or individuals. By aligning humans and AI around the same underlying understanding, Galaxy allows context to scale as organizations grow, enabling better collaboration, safer automation, and more reliable decision-making without breaking shared understanding.
What can I build with Galaxy?
With Galaxy in place, teams can build analytics, intelligent copilots, and resolution workflows that depend on shared context across systems. The ontology becomes the source of meaning that everything else relies on, powering use cases from data integration and cross-company analysis to agent infrastructure and knowledge capture across teams.
What does it mean to be AI-ready?
Being AI-ready means your organization has shared, reliable context that AI systems can use without guesswork. Entities, relationships, and business definitions are modeled explicitly in infrastructure, not embedded in dashboards, pipelines, or individual prompts. When an 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.
What is Galaxy?
Galaxy is an automated data and AI infrastructure platform that builds an ontology-driven knowledge graph, a living world model of your business. This graph captures structure, meaning, and relationships, creating a shared context layer that both people and AI systems can reason over. By putting business context into infrastructure, Galaxy helps organizations be and stay AI-ready. Teams can build agents, analytics, and automation that coordinate correctly, explain their behavior, and evolve as the business changes without constantly reworking logic or pipelines.
How does Galaxy fit in my existing stack?
Galaxy connects to your existing data sources and APIs and builds a shared context graph across your company’s data, 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, allowing teams to rely on it as a stable foundation as their data and organization evolve.
What problem does Galaxy solve?
Modern teams struggle to make decisions because information is fragmented across many systems with inconsistent definitions and duplicated entities. Important context often lives in people’s heads or within siloed teams, making it hard to reason consistently or collaborate effectively. Galaxy brings structure to that complexity by representing business context directly in infrastructure, not in documents, dashboards, or individuals. By aligning humans and AI around the same underlying understanding, Galaxy allows context to scale as organizations grow, enabling better collaboration, safer automation, and more reliable decision-making without breaking shared understanding.
What can I build with Galaxy?
With Galaxy in place, teams can build analytics, intelligent copilots, and resolution workflows that depend on shared context across systems. The ontology becomes the source of meaning that everything else relies on, powering use cases from data integration and cross-company analysis to agent infrastructure and knowledge capture across teams.
What does it mean to be AI-ready?
Being AI-ready means your organization has shared, reliable context that AI systems can use without guesswork. Entities, relationships, and business definitions are modeled explicitly in infrastructure, not embedded in dashboards, pipelines, or individual prompts. When an 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.
What is Galaxy?
Galaxy is an automated data and AI infrastructure platform that builds an ontology-driven knowledge graph, a living world model of your business. This graph captures structure, meaning, and relationships, creating a shared context layer that both people and AI systems can reason over. By putting business context into infrastructure, Galaxy helps organizations be and stay AI-ready. Teams can build agents, analytics, and automation that coordinate correctly, explain their behavior, and evolve as the business changes without constantly reworking logic or pipelines.
How does Galaxy fit in my existing stack?
Galaxy connects to your existing data sources and APIs and builds a shared context graph across your company’s data, 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, allowing teams to rely on it as a stable foundation as their data and organization evolve.
What problem does Galaxy solve?
Modern teams struggle to make decisions because information is fragmented across many systems with inconsistent definitions and duplicated entities. Important context often lives in people’s heads or within siloed teams, making it hard to reason consistently or collaborate effectively. Galaxy brings structure to that complexity by representing business context directly in infrastructure, not in documents, dashboards, or individuals. By aligning humans and AI around the same underlying understanding, Galaxy allows context to scale as organizations grow, enabling better collaboration, safer automation, and more reliable decision-making without breaking shared understanding.
What can I build with Galaxy?
With Galaxy in place, teams can build analytics, intelligent copilots, and resolution workflows that depend on shared context across systems. The ontology becomes the source of meaning that everything else relies on, powering use cases from data integration and cross-company analysis to agent infrastructure and knowledge capture across teams.
What does it mean to be AI-ready?
Being AI-ready means your organization has shared, reliable context that AI systems can use without guesswork. Entities, relationships, and business definitions are modeled explicitly in infrastructure, not embedded in dashboards, pipelines, or individual prompts. When an 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.
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