Lockchain.ai Secures $5 Million to Enhance Blockchain Risk Management

Feb 25, 2025
Lockchain.ai has closed a $5 million Series A funding round to expand its AI-powered blockchain risk management platform, announced in a press release. The funding will support the development of new features to improve speed and efficiency for cryptocurrency portfolio management.

Lockchain.ai has closed a $5 million Series A funding round to enhance its AI-powered blockchain risk management platform, announced in a press release. The funding round was led by White Star Capital, with participation from Lerer Hippeau, Arrington Capital, and Sonic Boom Ventures.

The funds will be used to develop additional features that improve the speed and efficiency of managing cryptocurrency portfolios. Lockchain.ai, launched in April 2024, provides automated risk management solutions to help traders, investors, and fund managers identify and manage risk factors in the blockchain ecosystem. The platform is already in use by firms like Broadridge and GSR, managing portfolios with an aggregate value exceeding $2 billion.

Lockchain.ai's platform leverages generative AI to analyze thousands of data sources, offering real-time risk views, instant notifications of impactful events, and predictive impact analysis. The company plans to expand its capabilities in material event detection, data discovery, and regulatory compliance automation, aiming to set new standards for risk management in the blockchain space.

We hope you enjoyed this article

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

Also, consider following us on social media:

AI in Finance AI Funding News AI Brief AI Brief (X)
Free newsletter

Finance AI Weekly

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

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.