Responsible AI For Banking
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Unlock the Full Potential of Your AI Workflows with Corridor GGX and Google Cloud
Corridor GGX on Google Cloud combines cutting-edge decisioning capabilities with the scalability and security of Google Cloud, empowering enterprises to streamline AI governance, integrate real-time data processing, and manage model compliance — all from a unified platform.
Data
Simplified Data Management and Insights
Google Cloud Storage and BigQuery for Scalable Data Solutions
Google Cloud Storage
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
Google BigQuery
Effortlessly manage and analyze structured and unstructured data at scale with BigQuery’s fast and cost-effective data warehouse solution. Run complex queries and gain actionable insights to drive your AI models and decision-making processes
Key Features
- Scalable storage with auto-scaling system
- Fast, real-time querying with BigQuery
- Data integrity and compliance with Google Cloud’s security standards
AI
Advanced AI Integrations with Google Cloud
Vertex AI, Gemini, and prebuilt models from Model Garden for comprehensive AI solutions
Vertex AI
Corridor seamlessly integrates with Vertex AI, enabling interaction with Vertex AI Notebooks, AI Agents, and other services for comprehensive AI solutions
GenAI solutions
Leverage Google’s advanced generative AI with Gemini and prebuilt models from Model Garden to create intelligent, context-aware applications, enabling actionable insights, personalization, and accelerated AI development across vision, language, and decisioning use cases
Key Features
- Accelerate AI development with Vertex AI’s integrated tooling and automation
- Enhance innovation with Gemini's generative AI for advanced content creation and predictions
- Speed up time-to-value with Model Garden’s pre-trained models for faster deployment
- Ensure scalability and flexibility by integrating AI seamlessly into your data and business workflows
Infra
Reliable and Flexible Infrastructure for AI and Business Workflows
Cloud SQL and Google Compute Engine for Optimal Performance
Cloud SQL
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
Google Compute Engine
Leverage virtual machines (VMs) for flexible compute capacity. Instantly scale compute resources to handle demanding workloads, ensuring high-performance pipelines and applications
Key Features
- Reliable with high availability and automatic failover
- Instant scalability to meet growing demands
- Cost-efficient with flexible pay-per-use pricing model
Security
Enterprise-Grade Protection for Your Data and Workflows
Comprehensive Security Features with Google Cloud
Data Encryption
All data in transit and at rest is encrypted with Google Cloud’s robust encryption protocols, ensuring sensitive information remains protected across the platform
Identity and Access Management (IAM)
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
- End-to-end encryption for all data and models
- Granular access control with detailed user roles and permissions