Opensee Buy-Side Reception: Live Risk, Agentic Insight in Action—Two Hedge Fund Stories

Join us in Greenwich on Sept 10 to hear two hedge fund client stories showing how Opensee closes the gaps in semantic insight, performance at scale, and specialized Agentic AI for the buy-side.

‍💎 Why Attend:

When risk, trading, and research run on disconnected systems, hedge funds lose speed, waste tech time, and miss alpha opportunities. Opensee delivers a semantic view of trade, risk, and market data, with performance at scale as well as Agentic AI built for your world.

📢 The Stories You'll Hear:

• One of the largest hedge fund launches - Real-Time Risk and Historical Analysis: For one of the industry’s largest $5B multi-strategy launches, the ambition was to move from static, report-driven processes to an interactive, real-time platform for VaR, sensitivities and capital usage calculation. This solution empowers risk managers to instantly explain risk changes, enables portfolio managers to run what-if trade simulations on the fly and monitor exposures live, and equips researchers to conduct comprehensive historical analysis, back-testing and backfilling across two years of data—all with full granularity and transparency.
• Tier-One Hedge Fund - Specialized Agentic AI for Trade, Risk & Market Data: By unifying fragmented position, market, and risk data into a powerful semantic layer, this leading hedge fund leverages Opensee’s advanced Agentic AI, Agensee, to empower its quantitative analysts and researchers. Through intuitive, plain-language interactions, Agensee enables users to seamlessly construct, extend, and automate sophisticated analyses—without the need for specialized coding skills. The platform intelligently interprets user intent, dynamically generates or reuses the most relevant analytics, and delivers precise, auditable answers within seconds. As a result, front-office teams can independently generate actionable insights, accelerating decision-making and driving alpha with unprecedented agility.

RSVP here ➡️