HONG KONG, Nov. 10, 2026 /PRNewswire/ -- 2WA today announced that Eddid Securities and Futures Limited ("Eddid"), a subsidiary of Eddid Financial, has been appointed as a distributor of USDGO Plus SP, a segregated portfolio of PrimePlus SPC.
Under a distribution agreement with PrimePlus Asset Management Limited, the investment manager of USDGO Plus SP and a member of the 2WA group, Eddid will make interests in USDGO Plus SP available to professional investors in Hong Kong. Eddid is licensed by the Securities and Futures Commission (SFC) for Type 1 (dealing in securities) regulated activity (CE No. BHT550).
USDGO Plus SP is a USDGO stablecoin market-neutral strategy fund. It seeks to earn funding-rate income in digital asset markets by holding offsetting spot and perpetual futures positions, so that its returns do not depend on the direction of market prices.
"Eddid's appointment reflects how we intend to grow USDGO Plus SP: through regulated intermediaries that already serve professional investors and apply their own onboarding and suitability standards," said Eugene Cheung, CEO of 2WA. "A market-neutral strategy is only as useful as the access around it. Adding licensed distributors such as Eddid gives professional investors in Hong Kong another regulated route into the fund, and extends the role of USDGO as a settlement and liquidity asset."
"Our professional investor clients are increasingly looking for digital asset strategies that do not rely on calling the direction of the market," said Dr Ricky Yeung, Head of Virtual Asset at Eddid Financial. "USDGO Plus SP brings a market-neutral approach to that demand by seeking to capture funding-rate spreads in the crypto derivatives market. Furthermore, the fund offers daily subscriptions, redemptions and net asset value updates. We are pleased to make it available through our licensed platform, supported by the client onboarding and suitability standards our clients expect."
About 2WA
2WA is a real-world asset (RWA) and digital asset technology development company focused on expanding the utility of regulated assets. 2WA applies blockchain technology, including tokenization, to broaden how regulated assets such as fund units and listed equities are held, used and mobilized. Throughout, the underlying assets remain with licensed custodians. 2WA's objective is to create new use cases for these assets and, in doing so, enhance their overall value for investors and institutions.
USDGO sits at the core of 2WA's business. As an active contributor to the USDGO ecosystem, 2WA uses USDGO as the primary settlement and liquidity asset across its RWA products, and works alongside partners to broaden its adoption, deepen its liquidity and support the long-term growth of its ecosystem.
About Eddid Financial
Anchored in Hong Kong, Eddid Financial is an all-encompassing financial group centered around fintech and dedicated to integrating the latest technologies into its enterprise DNA. The diversified businesses of Eddid Financial range from retail to institutional and include but are not limited to fintech, internet finance, wealth management, asset management, investment banking, and digital assets. Eddid Financial is committed to providing one-stop financial services and products to customers through high-quality investment solutions. Members of the Group hold a variety of licenses and memberships across key financial markets. These include Hong Kong Securities and Futures Commission (SFC) regulated activities ("RA") licenses for types 1, 2, 3, 4, 5, 6, and 9; SEHK and HKCC participant (OTP-C broker number: 0974 and 0977), Insurance Broker Company license; Trust or Company Service Provider License in Hong Kong. Additionally, our fully owned U.S. broker-dealer subsidiary, Eddid Securities USA Inc., maintains approved membership with the Financial Industry Regulatory Authority (FINRA), the National Futures Association (NFA), the Securities Investor Protection Corporation (SIPC), the Nasdaq Stock Market LLC (NQX), the New York Stock Exchange (NYSE) and NYSE American, and is registered with the U.S. Securities and Exchange Commission (SEC) and the Commodity Futures Trading Commission (CFTC) in the United States. Our Singapore subsidiary, Eddid Financial Singapore Pte. Ltd., holds the Capital Markets Services License (License No.: CMS101839) issued by the Monetary Authority of Singapore (MAS).
Disclaimer
This press release is for informational purposes only and does not constitute, and shall not be construed as, an offer, solicitation, invitation, recommendation, or inducement to buy, sell, subscribe for, or otherwise deal in any digital assets, securities, or financial products. It does not constitute financial, investment, legal, tax, accounting, or other professional advice and should not be relied upon as such. The views, statements, and information contained herein do not necessarily reflect the official positions or commitments of 2WA, PrimePlus SPC, Eddid or their respective affiliates. Any descriptions of products, services, promotions, or programmes are for general reference only. Participation in any products, services, or promotions mentioned is subject to applicable terms, conditions, and regulatory requirements. This press release may contain forward-looking statements or indicative information. Actual outcomes may differ materially, and none of 2WA, PrimePlus SPC, Eddid or their respective affiliates assumes any obligation to update such information.
USDGO Plus SP has not been authorized by the Securities and Futures Commission under section 104 of the Securities and Futures Ordinance (Cap. 571), and its offering documents have not been reviewed by any regulatory authority in Hong Kong. This press release has not been reviewed by any regulatory authority in Hong Kong. Interests in USDGO Plus SP may only be offered to professional investors in Hong Kong and only on the basis of the fund's offering documents. Investing in digital asset funds involves significant risks, including the possible loss of the entire amount invested. Market-neutral strategies do not eliminate risk, and funding rates may turn negative. Past performance is not indicative of future results.
For the avoidance of doubt, this press release is strictly intended for "professional investors" (as defined under the Securities and Futures Ordinance (Cap. 571) and its subsidiary legislation) and is not intended for distribution to, or use by, any person in any jurisdiction where such distribution or use would be contrary to applicable laws or regulations. This press release does not constitute active marketing to the public in Hong Kong. Any person accessing this press release is responsible for observing all applicable laws and regulations of the relevant jurisdiction.
The products referenced in this document may constitute "specified stablecoins" under the Stablecoin Ordinance (Cap. 656) ("Stablecoin Ordinance"). However, the issuers of the relevant products and Eddid Securities and Futures Limited are not licensed under the Stablecoin Ordinance to conduct "regulated stablecoin activities" in Hong Kong. Eddid Securities and Futures Limited is a "permitted offeror" under the Stablecoin Ordinance, and Eddid Securities and Futures Limited only offers such products and services in Hong Kong to clients who have been verified and accepted by Eddid Securities and Futures Limited as professional investors.
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
Eddid Securities and Futures Appointed as Distributor of USDGO Plus SP
The company says AI's next bottleneck isn't chips or power, it's finding the metal to wire it all together. Working with Nvidia, Its chief scientist calls Tau 3.8 an "AlphaGo moment for geology"
TORONTO and ADELAIDE, Australia, Nov. 11, 2026 /PRNewswire/ -- Fleet Space Technologies (Fleet), the space and AI company backed by In-Q-Tel and Teachers' Venture Growth (TVG), the late-stage venture and growth investment arm of Ontario Teachers' Pension Plan, today launched Tau 3.8 in the United States and Canada, an AI "world model" for mineral systems.
Trained on ten million synthetic geological worlds, Tau combines Fleet's 3D seismic intelligence with drilling, geology, geophysics and mineralogy data. It reconstructs hidden geology, ranks targets for resource expansion and identifies which new measurement would most reduce uncertainty, so mining companies can decide where to drill next with far more confidence.
North America's AI build-out is running into a physical limit: copper. Every data center, transmission line and grid upgrade needs it. S&P Global forecasts that data-center copper demand will more than double, from 1.1 million metric tons in 2025 to 2.5 million metric tons by 2040, with AI training accounting for 58% of that demand by 2030. Copper is one of six priority minerals in Canada's Critical Minerals Strategy, yet Canadian copper production fell by nearly 25% between 2014 and 2023, according to Natural Resources Canada. At the same time, the US now relies on imports for 57% of the copper it consumes, up from 45% a year earlier, according to the US Geological Survey.
Most of the debate about AI's limits has focused on chips and power. Fleet argues the deeper constraint is discovery. Finding and expanding the deposits that must supply the industry is still slow, expensive and uncertain, and billion-dollar decisions rest on drillholes that sample only a fraction of the ground beneath them.
"North America is building an AI economy on a mineral base it hasn't yet found," said Fleet Co-Founder and CEO Flavia Tata Nardini. "Hyperscalers can order more GPUs and sign new power deals, but they can't order a copper deposit into existence. The gap between what these economies need and what the industry can bring online is widening and mineral discovery has become a constraint on growth itself. Companies have spent years collecting drilling and survey data. Tau brings it together in one model so teams understand the orebody sooner and every foot drilled is worth more."
"Toronto is where much of modern AI was pioneered and it's where the world finances its mines. Those two worlds haven't spoken to each other nearly enough," Flavia said. "Tau is what happens when they do. The capital that funds exploration gets a sharper answer on where to drill before the money goes into the ground. Faster, more capital-efficient exploration is how supply keeps pace with the economy AI is creating."
Fewer dry holes
Drilling is typically the largest cost in mineral exploration and a single deep diamond drillhole can cost hundreds of thousands of dollars. By predicting copper grades more accurately from the drilling already in hand, Tau shows teams where grade is likely to continue and where it isn't, so fewer holes end in barren ground. Companies can prioritize their highest-value targets and define and expand resources with less drilling, in less time and at lower cost.
At ATEX Resources' Valeriano copper-gold project in Chile, Tau combined Fleet's ambient noise tomography (ANT) and magnetotelluric (MT) surveys with Comet and machine learning. Tested on drillholes held back from it, the model predicted copper grades with 38% less error than a conventional geostatistical estimate (kriging) built from the same drilling. On the deepest step-out holes, the error was up to 67% lower.
Fleet is already being used in the field, from Pakistan to Canada's Athabasca Basin. Projects include Barrick's Reko Diq copper-gold project in Pakistan, Lundin Gold's Fruta del Norte gold mine in Ecuador, Fermi Exploration's Perch River project in the Athabasca Basin, Southern Cross Gold's Sunday Creek gold-antimony project in Victoria, Australia and Alkane Resources' Boda-Kaiser copper-gold project in New South Wales. Fleet's wider customer base includes Gold Fields, Rio Tinto, Ma'aden, Standard Uranium, IsoEnergy, Q2 Metals and France's geological survey, BRGM.
World models, applied to the planet
World models, AI systems that learn how the physical world behaves rather than predicting the next word, have become one of the most closely watched frontiers in AI. Most of the attention has gone to robotics, video and autonomous vehicles. Fleet has applied the approach to an environment that is far harder to observe than any road or factory floor: the Earth's subsurface.
"Putting a wrapper around a large language model does not create a world-class geologist," said Fleet Chief Scientific Officer Dr. Gerrit Olivier. "Mineral systems are three-dimensional, buried and understood through observations that are sparse and costly to acquire. Fleet's approach was to build ten million simulated geological environments, model what seismic sensors and drillholes would detect in each, and train Tau to infer the geology between those partial measurements."
"World models learn the structure, geometry and composition of the physical world itself. We now appear to have crossed a critical threshold: a model trained in synthetic worlds can make predictions and guide exploration decisions using real-world data. I believe this marks an AlphaGo moment for geology."
Why seismic matters
AI can generate millions of plausible versions of what lies underground, but many of them will fit the same sparse data. Seismic provides the physical evidence to tell them apart, constraining the depth, geometry, orientation and continuity of structures in the vast volumes between drillholes.
"Seismic narrows the geological possibilities between drillholes, so teams can answer the questions that drive capital decisions: where the deposit extends, how deep it runs, and where the next foot of drilling will add the most value," Olivier said.
This integration is Fleet's advantage: Tau tests competing predictions against measurable physical properties of the subsurface rather than relying on geological plausibility alone. As new data arrives, the model updates its picture and recommends the next measurement, an approach Fleet calls Agentic Geoscience.
"Tau does not remove the geologist from the decision," Flavia said. "It gives them a quantified view of uncertainty before the drill bit provides the answer."
Built with the North American AI ecosystem
Tau was developed by specialists in seismology, geology, geophysics, applied mathematics and machine learning, including geoscientists with more than 200 years of combined experience across 400-plus programs and machine-learning leaders from Caltech and the University of Oxford. Fleet is working with Nvidia on the accelerated computing infrastructure needed to train the next generation of high-resolution subsurface models.
Fleet is an industrial affiliate of Stanford University's Mineral-X program, which connects researchers and industry on AI, geoscience and decision-making under uncertainty. Tata Nardini serves on the Mineral-X Advisory Council.
*Note: the conventional estimate was an independent exercise and is not related to the 2025 SRK Mineral Resource Estimate.
ENDS
About Fleet:
Fleet Space Technologies is a space and AI company building the technology to find the minerals the global economy depends on. Its flagship platform, ExoSphere, combines Fleet's satellite network, rapid 3D seismic data acquisition and AI into a single system that images mineral systems in near real time with minimal environmental impact. Tau, Fleet's world model for mineral systems, extends that platform into Agentic Geoscience. Fleet works with leading exploration and mining companies including Rio Tinto and Barrick, and is backed by investors including In-Q-Tel, Blackbird and TVG. Founded in Australia, Fleet has operations across the United States, Canada, Chile, Australia and Africa.
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
AI trained on ten million synthetic Earths outperforms conventional copper estimates at TSXV-listed ATEX's Valeriano project
