Metafide Secures $3.275M for AI-Driven Trading Platform SURGE

Jul 2, 2025
Metafide has announced $3.275 million in funding to launch SURGE, an AI-driven predictive trading platform. The funding will support the platform's growth and market entry.

Metafide has announced $3.275 million in new funding to support the growth and market launch of its AI-driven predictive trading platform, SURGE. The announcement was made in a press release, highlighting the platform's aim to combine human intuition with advanced AI to forecast market movements, particularly in volatile conditions announced in a press release.

SURGE is designed as a gamified platform that hosts short-interval predictive trading competitions, allowing users to compete for tangible rewards. This innovative approach blends AI-driven insights with human strategic skills to enhance market prediction accuracy. The funding round was led by Payton Jonson at DIY Fund, with participation from a consortium of venture capital and blockchain-focused investors.

Additionally, Metafide has secured a strategic partnership with DogeOS, the leading application layer for Dogecoin, to amplify its market reach. The SURGE platform has already gained significant attention, winning the Mantle AI Fest competition and growing its waitlist to over 110,000 users. Interested users can apply for early access to the platform via the SURGE website.

We hope you enjoyed this article

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

Also, consider following us on social media:

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

AI Funding Brief

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.