AI-native analytics for financial services, built on a governed semantic layer

Risk, compliance, and trading decisions can't run on numbers no one trusts. Cube is the agentic analytics platform for financial services: analysts and business users ask questions in plain language and get answers grounded in your governed semantic model — the definitions of exposure, P&L, and risk your data team already approved. The same governed definitions serve your BI tools, spreadsheets, and the analytics you embed for clients and partners.

  • Ask questions in plain language and get governed, trustworthy answers
  • One semantic model, served to BI, spreadsheets, agents, and embedded analytics
  • Runs on top of your cloud warehouse — no rip-and-replace

Agentic AI for Financial Services:

Smarter Data, Faster Financial Decisions

AI agents work on top of your semantic model, so every answer uses the metrics your data team governs — not a definition invented on the fly. Analysts explore exposure and P&L without writing SQL from scratch, business users get reports without filing a ticket, and every agent step is explainable for audit and review.

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Collaborative network with data, users, and communication around a central platform

Enhance Data Security, Governance, and Compliance

Model access rules once, in the semantic layer, and they hold everywhere the data is consumed — BI, spreadsheets, agents, and embedded analytics. Row-level security and consistent, auditable metric definitions help you meet SOX, GDPR, and internal controls without re-implementing governance in every tool.

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Modernize Legacy Platforms

Move off the bottlenecks of legacy BI to an AI-native platform that runs on top of your cloud warehouse — Snowflake, BigQuery, Redshift, or Databricks — with no rip-and-replace. Analysts work with governed financial data directly in Excel, always consistent with the model behind it.

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Improve Risk Management and Mitigation

Model credit, market, and operational risk once, and every consumer — dashboards, agents, and risk teams — reads the same governed definitions. When an agent surfaces an exposure or a limit breach, the number ties back to the metric your team approved, so you can act on it with confidence.

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Optimize Performance for Complex Financial Analytics

High-performance caching keeps queries fast even over large, complex datasets, so trading, fraud detection, and market analysis don't wait on the warehouse. Agents and analysts get answers at interactive speed, on data that stays governed.

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Ready to upgrade your data stack?