一周融资速递 | 11家项目获投,已披露融资总额为9850万美元(5.26-6.01)

Odaily星球日报Published on 2025-06-04Last updated on 2025-06-04

Abstract

稳定币基础设施公司 Conduit完成3600万美元A轮融资。

据 Odaily 星球日报不完全统计, 5 月 26 日至 6 月 1 日期间,全球共披露 11 起区块链领域融资事件,较前一周的 14 起有所回落,融资总额约为 9850 万美元。

相比之下,上周虽披露融资总额高达 6 亿美元,但主要来自纳斯达克上市比特币矿企 Riot Platforms 与 Coinbase Credit 信贷额度从 1 亿美元上调至 2 亿美元的调整,属于额度提升而非实际新增融资。

本周最大一笔融资来自稳定币基础设施公司 Conduit,完成 3600 万美元 A 轮融资;其次是部署在 Base 链上的 AI 项目 Freysa AI 的母公司 Eternis AI,获得 3000 万美元融资。

以下为具体融资事件(注: 1. 依照已公布金额大小排序;2. 不含基金募资及并购事件;3. *为部分业务涉及区块链的“传统”领域公司):

一周融资速递 | 11家项目获投,已披露融资总额为9850万美元(5.26-6.01)

稳定币公司 Conduit 完成 3600 万美元 A 轮融资,Dragonfly Capital 领投

5 月 28 日,稳定币公司 Conduit 宣布完成 3600 万美元 A 轮融资,Dragonfly Capital 领投,Sound Ventures、Altos Ventures、DCG 和 Commerce Ventures 参投,本轮 A 轮融资使 Conduit 的总融资额达到 5300 万美元,该公司并未披露本轮融资的估值。Conduit 的目标是为全球企业提供更快捷、更经济、更可靠的跨境支付服务,使用稳定币(一种旨在与美元保持价值一致的加密货币)进行国际支付结算,力求比传统银行更快地完成交易。

Freysa AI 背后公司 Eternis 融资 3, 000 万美元

5 月 2 9 日,Base 链上的 AI 项目 Freysa AI,其母公司 Eternis AI 已完成 3, 000 万美元融资,投资方包括 Coinbase Ventures、Selini Capital 等。Coinbase Ventures 确认直接投资于 Eternis,Selini Capital 则参与了 FAI 代币轮投资。另据 North Island Ventures 官网信息,该机构为 Eternis 投资方,Echo 内部也有团队参与了 FAI 代币认购

Donut Labs 完成 700 万美元种子轮融资,HackVC 等领投

5 月 29 日,Donut Labs 宣布完成 700 万美元种子轮融资,红杉资本、Bitkraft 和 HackVC 领投,Matrix Partners、Sky 9 Ventures、Makers Fund 和 SonicSVM 等参投,新资金将用于支持 Donut 的开发,这是一款由人工智能代理驱动的可执行加密浏览器,具有原生加密货币钱包和去中心化交易所集成、去中心化网络访问和链上执行。

Solana 生态代币发行平台 Cooking.City 完成 700 万美元融资,Jump 领投

5 月 30 日,Solana 生态代币发行平台 Cooking.City 完成 700 万美元融资,Jump 领投此轮融资,CMT Digital、Mirana、 Bitscale Capital 和 EVG 等参投。Cooking.City 致力于重塑代币发行机制,提出一种可持续、激励回馈、社区为中心的链上发行新模式。

去中心化计算网络 Acurast 完成 540 万美元融资

5 月 27 日,去中心化计算网络 Acurast 由加密货币启动平台 CoinList 的社区主导融资成功募资 540 万美元,估值达到 9000 万美元,新资金拟用于强化协议,利用可信执行环境(TEE)和硬件安全模块(HSM)来确保安全和可扩展计算,同时保持机密性而无需信任设备所有者,以满足 Web3、AI 及其他领域的下一代去中心化机密计算需求。

Oncade 完成 400 万美元融资,a16z crypto CSX 领投

5 月 29 日,Oncade 宣布完成由 a16z crypto CSX 领投的 400 万美元融资,旨在打造一个由社区驱动的游戏发行平台,帮助游戏工作室通过按销售计费的方式提升销量与用户参与度。

Assisterr 完成 280 万美元融资,估值达 7500 万美元,推动去中心化 AI 开发

5 月 30 日,基于 Solana 的 AI 平台 Assisterr 宣布完成 280 万美元融资,估值达 7500 万美元,Google for Startups、Outlier Ventures、Web3.com、Echo.xyz、Moonhill Capital 等参投。

加密钱包 Dexari 完成 230 万美元种子轮融资,Lemniscap 等领投

5 月 30 日,加密钱包 Dexari 宣布完成 230 万美元种子轮融资,Lemniscap 和 Prelude 领投,一批 Hyperliquid 生态的天使投资人参投,Dexari 基于去中心化交易协议 Hyperliquid 构建,新资金将用于加速开发团队扩张,并计划推出更多符合 DeFi 趋势的功能。

智能加密交易工具 Alph.AI 完成 200 万美元融资,Bitrue 领投

5 月 30 日,智能加密交易工具 Alph.AI 宣布完成 200 万美元融资,Bitrue 领投,新资金拟用于推动平台 AI 智能建设,以帮助用户及早发现高潜力代币。

BlockSpaces 完成 200 万美元战略轮融资,Axiom 领投

5 月 28 日,比特币原生基础设施 BlockSpaces 宣布完成 200 万美元战略轮融资,Axiom 领投, Leadout Capital、Sand Harbor Capital、以及 Eberly Energy Ventures 的 Lisa Hough 和 Barefoot Mining 的 Bob Burnett 参投,截至目前该公司融资总金额达到 1000 万美元,新资金拟支持其推出面向机构的比特币原生抵押品和风险管理平台 ARCC。

Revolving Games 完成由 Pantera Capital 领投的新一轮融资

5 月 31 日,Web3 电子游戏发行商 Revolving Games 宣布完成由 Pantera Capital 领投的新一轮融资,用于扩展其基于 RCADE Network 的游戏发行生态,具体金额未披露。该公司计划加速推进《War of Nova》《Hatchlings》系列以及新作《Skyborne: Phoenix Flight》的发布,该游戏将于 2025 年第三季度上线 PC 限定测试版。

Related Reads

Apple and the Power Rebalancing with 'The Microns': Dissecting the Profit Ledger Behind the iPhone

The article analyzes the shifting profit dynamics and power balance between Apple and memory suppliers like Micron within the iPhone supply chain. It highlights a social media post criticizing Apple for raising iPhone prices while blaming memory chip cost increases, despite historically paying suppliers like Micron very little. An estimated iPhone 18 cost breakdown is referenced. Historically, memory was a minor cost component. In 2017's iPhone X, memory accounted for only about 1.6-2.3% of the price, with Apple capturing nearly 50% net profit. Over time, memory's share of the Bill-of-Materials (BOM) cost has grown significantly, reaching an estimated 12-15% for the iPhone 17 series. The core driver of this change is soaring demand for memory from the AI industry, particularly for High Bandwidth Memory (HBM) and AI servers, which is diverting production capacity and squeezing supply for consumer electronics. Memory manufacturers, after enduring periods of low profits, now hold greater pricing power. This is reflected in their recent strong financials, like Micron's 84.6% gross margin. Apple CEO Tim Cook initially described the memory price pressure as unprecedented in his 40-year career, later calling it a "once-in-a-century flood," before Apple announced price hikes across several product lines, causing a significant stock drop. Elon Musk echoed Cook's sentiment about the dramatic cost surge. The article concludes that the era of memory suppliers being at the mercy of Apple's pricing power has temporarily reversed, thanks to AI-driven demand. It notes Apple is reportedly seeking to diversify its supply chain, including exploring chips from China's CXMT.

Odaily星球日报9m ago

Apple and the Power Rebalancing with 'The Microns': Dissecting the Profit Ledger Behind the iPhone

Odaily星球日报9m ago

Conversation with the Founder of 42 Macro: The Fed's 'Boiling the Frog Slowly' and the K-Shaped Economy

In a conversation with Anthony Pompliano, Darius Dale, founder of 42 Macro, discusses the Federal Reserve's monetary policy and the K-shaped U.S. economy. Dale characterizes new Fed Chair Kevin Warsh as a "dove in hawk's clothing," expecting the Fed to signal or enact policy tightening in the coming quarters to create room for later easing. He argues current economic signals, including high deficit spending, debt monetization, and credit growth, strongly indicate inflation is not on a credible path back to 2%, forcing the Fed to act. The discussion highlights the stark "K-shaped" economic reality. While top earners, buoyed by massive cash savings (up ~$8 trillion since pre-pandemic), continue robust spending, those at the bottom face severe financial strain, with delinquency rates on consumer loans reaching crisis-era highs. Dale attributes much of the current social and political anxiety to this divergence, driven by the "Cantillon effects" of monetary expansion, which disproportionately benefits asset owners. He emphasizes that in this environment of "financial repression," individuals must participate in asset markets to avoid being left behind. On equities, Dale notes a rotation from the "Magnificent Seven" tech giants into broader AI-exposed companies, while warning that the tech giants' massive capital expenditure cycles could eventually puncture over-optimistic cash flow projections. Dale concludes by stressing that the core desire across all economic strata is simply the dignity to provide for one's family, a goal currently undermined by systemic policies that act as a "wealth siphon" from the bottom to the top.

marsbit38m ago

Conversation with the Founder of 42 Macro: The Fed's 'Boiling the Frog Slowly' and the K-Shaped Economy

marsbit38m ago

The Domestic Answer to Space Computing Power: Photonics Are More Efficient, Musk and Huang's Approaches Are Too Roundabout

The Space Computing Race: A Photonic Advantage The competition for space-based computing has intensified, with figures like Elon Musk and NVIDIA's Jensen Huang highlighting its potential. Musk predicts solar-powered AI satellites could offer the most cost-effective computing by 2032. However, space presents extreme challenges for traditional electronic chips: radiation from cosmic particles can cause errors, the vacuum environment hinders heat dissipation, and limited solar power constrains energy-hungry systems. Photonic computing, using light instead of electrons, offers a promising solution. Its core advantages for space are threefold: 1) **Radiation Resistance**: Photons are charge-neutral, making them inherently immune to particle interference. 2) **Low Heat Generation**: Light propagation in waveguides generates minimal heat, bypassing critical thermal management issues. 3) **Low Power Consumption**: Photonic chips have near-zero static power draw, aligning perfectly with the energy constraints of satellites. Furthermore, for a given payload weight and volume, photonic systems can potentially deliver higher total compute density. Since they require less bulky cooling and power infrastructure, more space can be allocated to the compute units themselves. While photonic computing holds great promise, current industry approaches face hurdles like the memory-compute bottleneck (separate storage and processing) and challenges in large-scale integration. Engineering for space—withstanding launch vibrations and validating full system operation in orbit—remains a critical step. The path forward resembles the evolution from single GPUs to computing clusters, but via a photonic route. As electronic chips approach physical limits in miniaturization, photonic computing and optical interconnects (光算光联) may provide a key alternative to bypass these constraints and define the next generation of space-based computing capabilities.

marsbit1h ago

The Domestic Answer to Space Computing Power: Photonics Are More Efficient, Musk and Huang's Approaches Are Too Roundabout

marsbit1h ago

Trading

Spot
活动图片