Corridor GGX on Google Cloud combines cutting-edge decisioning capabilities with the scalability and security of Google Cloud — streamline AI governance, integrate real-time data processing, and manage model compliance from a unified platform.
Google Cloud Storage and BigQuery give GGX the scalable foundation it needs to power governed AI — from raw inputs to actionable evaluation outcomes.
Securely store datasets, model inputs, outputs, and other critical assets. With built-in redundancy, encryption, and flexible access controls, Google Cloud Storage ensures your data is always available and compliant.
Effortlessly manage and analyze structured and unstructured data at scale with BigQuery's fast and cost-effective data warehouse. Run complex queries and gain actionable insights to drive your AI models and decisioning processes.
Key features
Vertex AI, Gemini, and prebuilt models from Model Garden — wired into GGX for comprehensive, governed AI solutions.
Corridor seamlessly integrates with Vertex AI, enabling interaction with Vertex AI Notebooks, AI Agents, and other services for end-to-end AI workflows.
Leverage Google's advanced generative AI with Gemini and prebuilt models from Model Garden to create intelligent, context-aware applications — actionable insights, personalization, and faster development across vision, language, and decisioning use cases.
Key features
Cloud SQL and Google Compute Engine keep GGX deployments performant and elastic — without the overhead of managing the stack underneath.
Run fully managed relational databases (PostgreSQL, MySQL, or SQL Server) with ease. Benefit from automatic backups, scaling, and maintenance — without the overhead of managing infrastructure.
Leverage virtual machines for flexible compute capacity. Instantly scale compute resources to handle demanding workloads — ensuring high-performance pipelines and applications.
Key features
Comprehensive security features powered by Google Cloud — keeping sensitive AI workloads governed and contained.
All data in transit and at rest is encrypted with Google Cloud's robust encryption protocols, ensuring sensitive information remains protected across the platform.
Fine-tune access to your data and models with IAM, offering secure user management and role-based access control (RBAC) to enforce least-privilege access across your teams.
Key features
Bring GGX into your Google Cloud environment — Vertex AI, Gemini, BigQuery, and the rest of the GCP stack, wrapped in the governance your business and risk teams need.