
Perplexity for Data Management - Decube's AI-Powered Data Trust
Discover why Decube is introducing Perplexity for Data Management—leveraging AI to simplify complex lineage, enhance security, and redefine data governance for the AI era.
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In today's rapidly evolving financial landscape, data-driven decisions are paramount. Decube.io empowers financial institutions with cutting-edge data solutions to enhance risk management, fraud detection, and customer insights.
PII and Sensitive fields are classified automatically for security and compliance.
No manual updating of meta-data. Once your sources are connected, it's auto-refreshed.
Control who can view or edit information with designated approval flow.
Financial institutions rely on accurate data for critical processes such as risk assessment, credit scoring, and compliance reporting. Poor data quality results in errors, delayed decisions, and increased operational costs.
With data spread across legacy systems, cloud platforms, and siloed departments, tracing data lineage and understanding its context becomes a major challenge. This fragmentation leads to inefficiencies and slows down audit and analytics processes.
Regulatory frameworks such as BCBS 239, GDPR, and AML require robust controls over data accuracy, traceability, and usage. A lack of centralized visibility makes it difficult to demonstrate compliance and respond quickly to regulatory inquiries.
Decube ensures high-quality, trusted data for real-time decisions across operations and reporting.
With accurate, governed datasets, financial teams can confidently forecast risks, trends, and regulatory exposure.
Decube streamlines regulatory compliance and internal reporting with customizable, audit-ready dashboards.
Decube is compliant with SOC2 and ISO 27001 standards. We offer both on-premise and VPC-deployed solutions where data processing (data plane) resides within the customer’s environment, ensuring zero data egress. Additionally, we support role-based access, encryption at rest and in transit, and regular penetration testing to meet the stringent security requirements of banks and financial institutions.
Yes. Decube supports a wide range of integrations, including on-premise systems like Oracle, Teradata, and MS SQL Server, as well as cloud platforms such as Snowflake, BigQuery, Azure Synapse, and more. Our architecture is designed to support hybrid deployments, making us ideal for banks navigating digital transformation.
We offer white-glove onboarding services, including metadata ingestion, connector setup, and domain modeling. For enterprise clients, we also support POCs and offer dedicated solution engineers. Our team collaborates closely with internal data teams to ensure a smooth and scalable implementation.
Decube is built using a distributed architecture optimized in Rust, capable of handling over 50,000+ tables and 1PB+ of metadata. The platform supports concurrent user access, granular access controls, and multi-domain structures to cater to the needs of federated data teams common in banks.
Yes. Decube supports cross-system lineage, including extraction from SQL logs and BI tools like Power BI, Tableau, and Looker. This enables banking teams to trace data usage across dashboards, identify stale data, and ensure alignment between business logic and backend datasets.