Opensee
Opensee is a Paris headquartered financial data management and analytics platform built by capital markets practitioners, founded in 2015 and previously known as ICA. It sells…
Overview
Opensee is a Paris headquartered financial data management and analytics platform built by capital markets practitioners, founded in 2015 and previously known as ICA. It sells banks, asset managers and hedge funds a real time self service layer that sits on top of existing infrastructure rather than replacing it, holding market, credit and liquidity data together at full granularity with history, and supporting aggregation, calculation and simulation across very large datasets. Use cases span market risk, credit risk, liquidity and asset liability management, trade analytics, collateral management, profit and loss and performance, a market data store, and environmental and climate risk. The platform runs on any cloud, on premise or hybrid cluster, offers native Python integration for customers to build their own models on the same data as end users, and is available for deployment through a customer's existing Amazon Web Services account. The company positions itself as AI first and its own description pairs high performance computing with artificial intelligence. Its named AI line is Agensee, an agentic capability described as spanning the entire data journey by automatically building data models, calculators and dashboards and monitoring data quality, alongside a generative data assistant that answers questions in natural language and generates reports, AI powered data quality assistants, and automated explainability. A semantic layer is described as turning raw financial data into business ready information that is auditable and verifiable. Crédit Agricole CIB is a named client, with the bank on record describing the platform as a change in the speed, efficiency and governance of risk management for its market activities, and the hedge fund Taula Capital is named as a deployment. The company has been recognized repeatedly by industry evaluators, including as a category leader in the Chartis RiskTech Quadrant for market risk risk data aggregation and in the Risk Markets Technology Awards 2026.
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