Argentum AI will deploy new capital from the oversubscribe round led by Kraken, build a distributed network where everyone can monetize idle processing power, creating a new class of “GPU entrepreneurs.”
summary
- Kraken led the oversubscribed previous seed rounds at Argentum AI, a Menlo Park startup that builds a distributed computing marketplace.
- With Argentum AI, organizations bid to calculate on-chain power, allowing providers to monetize idle GPUs and data center capacity.
- The platform supports AI training, 3D rendering, scientific simulation and more, and blends AI-driven task matching with human surveillance.
According to a press release shared with crypto.news on October 1, the Menlo Park-based startup has secured an overly subscribed seed round. The capital injection was led by Crypto Exchange Kraken with participation from Banyan Ventures and Angel Investors Victor Morgantern and Todd Bensen.
Argentum AI said it will use the funds to accelerate the development of its core platform. The Core Platform is an open marketplace that uses blockchain to resolve real-time bidding and computational tasks.
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Within the Argentum AI market model
Argentum AI describes itself as a “human-friendly, AI-powered computing marketplace,” and its model blends distributed infrastructure with mechanical intelligence to improve how computational jobs are matched, priced and executed.
With each release, Argentum AI acts as an open exchange that allows organizations to post computing tasks, ranging from AI model training and 3D rendering to big data analysis and digital twin simulations. Providers will bid to perform those tasks, whether they are individuals with spare GPUs or data centers with large clusters. The settlement occurs on the chain, and the Ethereum Smart Contract holds funds in Escrow until it completes successfully
Rather than placing AI as an alternative to human input, the platform emphasizes collaboration. While clients define requirements and oversee decision-making, the built-in AI assistant learns from completed tasks and recommends better resource match and pricing strategies over the long term. The result is a smarter and faster market that adapts as it grows, according to the company.
This model is built to tackle certain growing bottlenecks in the tech world. According to CEO Andrew Sobko, the constraints are not just a lack of raw computing power, but a lack of flexible partners that can meet the unpredictable and diverse demands of modern AI workloads. Argentum is designed to solve its stiffness. Sobko has further explained the company's step-by-step approach to the market.
“We believe there will be a great opportunity for the time being to fill computational capacity bound by flexible needs. In the long run, AAI will work with GPU manufacturers to establish liquidity and monetization plans for the second living asset, further reducing the overall computational costs for our customers,” Sobko said.
Target Clients and Toconamix
According to a press release, Argentum AI's first target clients are industries with large and fluctuating calculation needs, such as fintech companies, banks and digital gaming companies. By allowing businesses to supply and demand without committing to a single vendor, the project has established itself as a neutral layer of markets dominated by large-scale cloud existing people.
To promote the internal economy, Argentum AI has built the native SPL token AGP (Argentum AI Point). AGP tokens act as the native currency for calculation services within the market. Clients pay for AGP workloads, while providers earn tokens by providing capacity.
This model includes a staking mechanism that allows participants to increase visibility, unavailability or access premium features. It also incorporates governance rights, giving token holders a say in protocol upgrades and policy decisions. With a fixed supply of 1 billion AGP, the design is leaning towards shortages to adjust long-term incentives.
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