KBC selects Opensee to jointly drive next-generation market risk and counterparty credit risk analytics

Paris and Brussels – March 3, 2026 – Opensee, the AI-powered risk data aggregation and analytics platform for financial institutions, today announced that it has been selected by KBC as the bank’s strategic platform for market risk and counterparty credit risk (CCR) aggregation, analytics, and reporting. 

Opensee will provide KBC with a single aggregation platform across asset classes and all traded risk metrics. This will enable teams to transform raw data generated by multiple pricing systems and libraries into a coherent risk metrics framework, with clickable lineage from top-level results down to sub-level metrics. The platform will support day-to-day processes for risk management, regulatory and management reporting needs, as well as explainability, and “what‑if” scenario analysis on demand. ‍

“We are honored to partner with KBC and power the bank’s strategic transformation in risk analytics as it unifies market risk and counterparty credit risk on a single, future‑proof platform. KBC's selection of Opensee reflects our unique combination of AI-powered architecture, deep domain expertise, and proven ability to deliver explainability, data quality, and speed to value at scale." - Stephane Rio, CEO & Founder at Opensee

‍About the Opensee platform 

Opensee’s disk-based, cloud-native architecture delivers fast, scalable analytics on any size dataset, combined with a semantic data layer, user-friendly interfaces, and full API access for integration and automation. By design, the architecture enables banks to store 10 to 100 times more historical risk data while typically achieving 70-80% lower hardware costs versus traditional in‑memory solutions, all in a single environment with the full history and granularity.

‍Banks benefit from:

• Full transparency and explainability: Opensee provides full historical access and backtesting, enabling users to analyse and compare risk analytics across periods with trade-level drilldown, trend analysis, and “what-if” scenario modeling on large datasets without duplicating data, all with full auditability.
• Advanced risk and regulatory analytics: The platform comes with pre-built regulatory capabilities across FRTB-SA, SA-CCR, and VaR, including ISDA-certified FRTB capital charge calculations, EBA validation portfolios, and reporting templates, and can be extended to leverage in-house risk aggregation models and analytics.  
• AI-powered data quality and anomaly detection combined with auditable adjustments: Opensee’s AI-driven data quality controls, including anomaly detection, statistical and historical checks, and BCBS 239-aligned certification and auditability, help banks ensure data integrity across risk stacks. Opensee supports any type of adjustment and keeps track of all versions of data allowing full traceability and auditability. 
• Agentic AI for interactive analytics: Agensee, Opensee’s agentic AI solution built on the Opensee semantic layer, allows users to interact with all risk datasets and analytics using intuitive, plain-language queries, accelerating investigations and making advanced analytics accessible to a broad range of users. Agensee also automates complex analyses - such as full explainability analysis and reporting, data quality checks, outlier detection, and adjustments - saving massive human time and efforts.