Opensee named Risk Data Repository and Data Management Product of the Year

We are proud to announce that Opensee has been recognized as the winner of Risk.net's Risk Markets Technology Awards in the category of Risk Data Repository and Data Management Product of the Year. This prestigious industry recognition validates our mission to transform risk data management from static storage into a dynamic engine for regulatory compliance, real-time analysis, and actionable insight.

Redefining Risk Data Management

Risk data management is no longer just about storing and reporting - it's about empowering organizations to make fast, explainable, and financially sustainable decisions. Opensee addresses the industry's most urgent needs through real-time risk aggregation, transparent analytics, regulatory compliance, and cost efficiency, all within a single, unified platform.

Regulatory-Grade Data Lineage & Auditability

Opensee ensures end-to-end traceability for every metric, transformation, and data source, supporting regulatory mandates such as BCBS 239 and FRTB. Our unified semantic layer and flexible modeling environment allow institutions to rapidly adapt to evolving regulations, business strategies, or risk methodologies, without the need for disruptive re-engineering. Every adjustment to risk models, data logic, and schemas is automatically versioned and timestamped, providing a transparent audit trail that accelerates regulatory responses and internal audits.

Granular, Multi-Asset Risk Aggregation

Our platform natively aggregates exposures across asset classes, risk types, and geographies, enabling institutions to achieve a consolidated risk view for enterprise-wide stress testing and capital planning. Users can seamlessly move from top-level risk metrics to granular, transaction-level data, making it easy to perform root-cause analysis and respond to regulatory investigations with precision.

Real-Time Explainability & Advanced Risk Analysis

Opensee empowers risk managers to instantly simulate market shocks, regulatory changes, or portfolio adjustments and immediately see the impact on exposures, capital, and liquidity. Every risk metric is transparent and can be decomposed, ensuring that decisions are fully explainable and compliant with model risk management standards. Users can conduct forward-looking analyses, such as stress testing, scenario analysis, and backtesting, across portfolios and business lines, identifying vulnerabilities and opportunities before they materialize.

No Trade-offs: The Opensee Difference

Unlike competitors that force a choice between scale and cost, explainability and speed, or engineering flexibility and business usability, Opensee delivers all of these simultaneously. Our platform provides real-time access to 100% of risk data at full granularity, with sub-second response times and comprehensive explainability.

Cost Efficiency Without Compromise

Opensee's disk-based, cloud-agnostic architecture leverages ultra-efficient compression and a high-performance query engine, resulting in infrastructure costs up to 90% lower than in-memory solutions. Recently, we partnered with a global bank to transform its risk data architecture, merging vast datasets, eliminating significant redundant data, and delivering substantial storage savings.

Business-Driven, Engineer-Ready

Opensee bridges business and technology by providing a unified environment where risk practitioners and data engineers collaborate seamlessly. By leveraging Python, we eliminate the need for proprietary languages, reducing learning curves and enabling rapid innovation.

Landmark Innovations Over the Past 12 Months

The past year has been transformative for Opensee, marked by major advances in regulatory calculations, user experience, and artificial intelligence.

Agensee: Agentic AI Framework

Our most significant innovation is Agensee, Opensee's Agentic AI framework. Unlike traditional BI chatbots or LLM add-ons, Agensee embeds intelligence throughout the platform through a multi-agent architecture that blends specialized AI agents with live data access. It not only answers questions in natural language but also suggests smarter queries, runs scenario simulations, and explains results in context. Our Smart Driller automatically identifies and explains metric shifts, while backend AI scans raw files to autogenerate data models, proxy missing prices, and flag anomalies before they corrupt results.

Enhanced Platform Capabilities

Additional key innovations include next-generation Python-based regulatory calculations with calculator chaining and dynamic resource allocation, query engine optimizations for large-scale datasets, the productionalized PyOpensee Python SDK for programmatic interaction, a Tableau connector for interactive querying, and a production-ready Web UI covering the full range of functionality.

Proven Performance Under Market Stress

During the market upheavals of early 2025, Opensee's architecture demonstrated its resilience. As volatility spiked and institutions saw dramatic increases in trade volumes, position updates, and risk factor recalculations, Opensee's disk-first OLAP engine and distributed calculation server enabled clients to ingest, aggregate, and analyze billions of new data points in real time—maintaining sub-second query response times and uninterrupted analytics even as data volumes doubled or tripled during peak trading days.

Clients reported zero downtime during record data ingestion and calculation peaks, with risk managers leveraging Agensee to ask complex questions about exposures, scenario impacts, and emerging threats through natural language queries. The platform's seamless integration with data lakes, risk engines, and BI tools allowed institutions to adapt workflows quickly, identify vulnerabilities, rebalance portfolios, and satisfy regulatory reporting requirements with confidence and speed.

Looking Forward: AI-Native Data Management

This recognition from Risk.net reinforces our commitment to setting new standards for performance, intelligence, and usability in risk management. As we look ahead, Opensee is uniquely positioned at the intersection of risk expertise and AI innovation, where intelligent automation meets institutional-grade data management.

Our AI capabilities extend far beyond conversational interfaces. Agensee's multi-agent architecture represents intelligence embedded into the data stack itself, automatically scanning raw files to generate data models, proactively flagging anomalies, and continuously monitoring data quality to ensure accuracy and reliability. This AI-driven approach to data management minimizes operational risk, reduces manual intervention, and guarantees data integrity for downstream risk calculations and reporting.

By combining deep banking expertise with advanced data engineering and cutting-edge AI, Opensee delivers a platform where artificial intelligence doesn't just answer questions—it builds models, detects issues, suggests analyses, and transforms how institutions interact with their risk data. We remain focused on empowering financial institutions to unlock the full value of their risk data, transforming it from a compliance burden into a strategic asset for confident, forward-looking decision-making.

Experience the award-winning difference for yourself. See how Opensee can transform your risk data management with real-time analytics, AI-driven insights, and up to 90% lower infrastructure costs—request a personalized demo and discover why leading financial institutions trust Opensee to turn risk data into their most strategic asset.