InvroMining Expands AI Quant Infrastructure for Digital Asset Strategies

August 28, 2025
InvroMining has announced the expansion of its AI-driven quant infrastructure to enhance access to digital asset strategies, according to a press release.

InvroMining has announced the expansion of its AI-driven quant infrastructure to enhance access to digital asset strategies, announced in a press release. The London-based technology and digital asset platform, founded in 2016, aims to make quantitative digital asset participation more accessible to a global audience.

The expanded platform integrates systematic strategy execution, real-time monitoring, and developer access to open-source SDKs. This allows both individual and institutional users to engage in the digital asset market with increased transparency and automation. InvroMining's platform leverages advanced machine learning to identify trading signals, execute positions, and rebalance portfolios.

InvroMining also emphasizes sustainability, operating 135 renewable-powered data facilities worldwide. The platform offers cross-platform access, enabling users to monitor portfolio activity and strategy outcomes through web and mobile apps. Future plans include broader support for derivatives and futures, expansion into Asia-Pacific and Latin America, and governance features for community input on new strategy modules.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Finance AI Weekly

Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets

Whitepaper

Governing the Future: A Strategic Framework for AI Adoption in Financial Institutions

This whitepaper explores the transformative impact of artificial intelligence on the financial industry, focusing on the governance challenges and regulatory demands faced by banks. It provides a strategic framework for AI adoption, emphasizing the importance of a unified AI approach to streamline compliance and reduce operational costs. The document offers actionable insights and expert recommendations for banks with fewer than 2,000 employees to become leaders in compliant, customer-centric AI.

Read more