Coremont secures £30m to add AI natural‑language interfaces for real‑time multi‑asset analytics
This article covers Coremont, a fintech startup, securing a £30m strategic growth investment to accelerate its real-time, multi-asset portfolio management software and analytics. The funding is intended to broaden asset-class coverage, add AI-driven interfaces and strengthen live risk tools for asset managers, hedge funds and other institutional clients requiring faster, more granular decision support.
Coremont, a fintech startup, has secured a strategic growth investment to accelerate its real-time, multi-asset portfolio management software and analytics. The funding is intended to broaden the product’s asset-class coverage, add AI-driven interfaces and strengthen live risk tools — changes aimed at institutional clients demanding faster, more granular decision support.
Why it matters
Asset managers, hedge funds and other financial institutions increasingly expect cloud-native alternatives to legacy portfolio systems that can deliver real-time analytics across multiple asset classes. As markets turn more volatile, the ability to run live monitoring, stress tests and scenario analysis becomes a competitive requirement rather than a nicety.
Coremont’s platform targets that gap by combining portfolio-level analytics with derivative modelling and API integration. If it can deliver the roadmap it describes, clients could reduce model latency, simplify integrations and make more informed intraday decisions across fixed income, equities, currencies and commodities.
Inside the product
Coremont offers a real-time, multi-asset class portfolio management system with analytics and advanced derivative modelling. Key product capabilities highlighted in the announcement include:
- GUI-driven workflows paired with robust API integration to connect with fund accounting, execution or data providers.
- Multi-asset coverage across fixed income, equities, currencies and commodities, with plans to add emerging asset classes and alternative investment strategies.
- Enhanced risk tooling intended to support live portfolio monitoring, stress testing and scenario analysis.
- A roadmap to introduce AI-driven natural-language interfaces and automated insights to make analytics more accessible to investment teams.
These features speak to two trends: a shift from batch-based legacy systems to continuous cloud-native processing, and the use of natural-language layers to broaden internal access to analytics without bespoke engineering.
Who are the investors?
Coremont has raised a £30 million strategic growth investment from funds managed by Blue Owl Capital. According to the announcement, the financing recognises Coremont’s role as infrastructure for asset managers and financial institutions that require sophisticated portfolio analytics and derivative modelling.
In the announcement, Mark Schachter, MD at Blue Owl Capital, said:
Coremont has established itself as a critical partner to leading investment managers, and we are excited to help accelerate its next phase of innovation.
The funds are earmarked to accelerate three strategic priorities: expanding product coverage into additional and alternative asset classes; delivering AI-driven natural-language interfaces and automated insights; and advancing real-time risk management capabilities for live monitoring and scenario analysis.
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Founder perspective
Coremont’s founder and CEO positions the investment as a technology and product roadmap accelerator. The company says the additional capital will help it deliver broader asset-class support and make analytics more accessible to clients navigating volatile markets.
In the announcement, Jev Mehmet, Founder & CEO, said:
We are delighted to collaborate with Blue Owl. This long-term investment accelerates our technology and product roadmap and underscores our commitment to empowering clients with market-leading analytics as they navigate both the opportunities and the risks of volatile markets.
The bigger picture
The deal underlines a wider shift in the investment-management tech stack toward cloud-native, low-latency infrastructure. Legacy systems built for end-of-day processing are increasingly mismatched with the intraday risk and execution workflows demanded by modern trading strategies and derivative exposures.
For UK and European fintech startups focused on portfolio infrastructure, the market opportunity is clear but competitive. Entrants must balance model accuracy, computational cost and seamless integrations with clients’ existing data and execution layers.
This investment adds to recent momentum around modern portfolio and risk tools in Europe, and signals that there is continued appetite from UK fintech investors for infrastructure plays that upgrade legacy systems.
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