Opensee H1 2026 Update: Leading Risk Data Aggregation & Agentic AI

As we come to the end of an outstanding first half of 2026, I wanted to take a moment to share a few milestones that reflect where Opensee is headed.

I'm proud to share that we have once again been ranked #1 for risk data aggregation in the Chartis RiskTech Quadrant for Market Risk Solutions. This reflects a shift we see across the industry: risk, finance, and trading teams are done choosing between speed, granularity, and history - and are looking for a platform that delivers all three.

This recognition is rooted in what we are delivering with Agensee Agentic AI. Sitting directly on Opensee's semantic layer, Agensee ensures every action it takes is transparent, auditable, and reversible - every result explainable. Agensee covers the full data value chain across three pillars: conversational analytics that democratize data exploration; workflow automation, orchestrating complex, resource-intensive tasks that consume operations teams daily - from data preparation and certification to explainability and reporting; and decision intelligence, surfacing forward-looking insights that inform what to do next.

You can already see this in practice. Our March webinar showed Agensee automating daily market risk operations. In May, we brought the same agentic approach to liquidity. These are just two examples - Agensee transforms how financial institutions operate across the entire data value chain - not just one narrow use case.

Thank you for being part of this journey. The pace of innovation at Opensee has never been faster, and we have much more to share in the months ahead.

Stephane Rio, CEO & Founder of Opensee

Opensee ranked #1 for risk data aggregation

The 2026 Chartis RiskTech Quadrant for Market Risk Solutions for Risk Data Aggregation confirms Opensee as the Category Leader with the highest completeness of offering, reflecting top scores in Scalability, Data Type Coverage, Data Management, Packaging/UX, and Tools/Frameworks.

This is why Opensee leads the way:

• Ultra-fast aggregation: combining multiple heterogeneous data sources over billions of rows and many years of history, with sub-second response times
  Semantic layer: built-in business logic so every query is optimized and explainable
  Scalable cloud-agnostic architecture: disk-based MPP engine deployable on any cloud or on-premise
  Agensee agentic intelligence layer: transforming how financial institutions operate across the entire data value chain

Read the full announcement

Get our webinars on-demand

Automate daily risk analysis with Agensee

In this webinar, we show how Agensee transforms daily market risk operations - a concrete example of all three pillars working together:

• Data democratization: enabling risk teams to explore complex metric changes and drill into drivers through natural-language interaction, without waiting on BI queues or writing queries.
• Complex workflow automation: orchestrating the operational heavy-lifting end to end: anomaly detection and data certification so every analysis starts from a clean foundation, followed by automated investigation of what changed, why, and regulator-ready reporting generated in minutes.
• Decision intelligence: helping risk managers move from understanding what happened to determining what to do next, faster than ever before.

Market risk is one example. The same agentic approach applies across any domain. Watch our webinar on-demand or read our article on the hidden cost of poor data management and how to make it an asset in the age of AI.

How Agensee transforms liquidity

Agentic AI is changing how liquidity teams move from analysis to action. In this webinar, we show how Agensee accelerates the journey from understanding liquidity metrics to acting on them:

• Explore & Acknowledge: Through conversational analytics, anyone can explore liquidity data and get immediate answers - no BI teams required.
• Analyze & Explain: What moved? What are the key drivers? What is the impact under multi-jurisdiction regulation? Agensee surfaces root causes and top contributors with full auditability.
• Bloomberg's HQLA Dataset & Monetization Strategy: Moving from analytics to decision-making, Agensee leverages Bloomberg's HQLA dataset to turn liquidity analysis into actionable monetization intelligence.
• Stress, Forecast & Report: Agensee orchestrates complex, sequential tasks - stress testing, forecasting, and reporting - that previously consumed entire teams.

Watch our webinar on-demand or read our article on agentic AI in ALM/Treasury.

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

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.

Read more

Ready to go further?

Whether you're discovering Opensee or Agensee for the first time or ready to dive deeper into a specific use case - reach out, we'd love to talk. Get in touch.