Blacksmith raised $66 million to develop AI code testing infrastructure

Mueon Corporation has successfully raised $65 million in a Series A funding round to develop its modular computing platform. The round was led by Maverick Silicon, with participation from Intel Capital and other investors.

Chief Executive Officer and co-founder Wilfred Gomes stated that the funding will enable the company to bring integrated computing and memory systems to market. Additional investors included Geodesic Alliances Fund, Oregon Venture Fund, M-Ventures, Wellington Capital, IQT, and Defined.

As a result, Mueon's total capital raised now exceeds $80 million. Previously, the company secured $15.5 million in seed funding in 2025.

Mueon develops semiconductor systems designed for high-performance computing and artificial intelligence. The company's technology aims to meet the growing infrastructure needs of data centers. The new funds will be used to expand engineering and operations teams.

The financing will also help advance the Cubelets technology from a platform development stage to a broader validation system. The company plans to prepare this technology for production while deepening customer engagement. Gomes added that Mueon's architecture is designed to overcome existing rack-level limitations.

Mueon's core technology, known as Cubelets, consists of modular building blocks for three-dimensional computing and memory. This architecture integrates compute power, memory, interconnects, power delivery, and thermal management. Unlike traditional data center systems that treat these components as separate design tasks, Mueon designs them as parts of a unified system.

This approach is intended to reduce data transmission distances and lower energy consumption. The company aims to achieve a tenfold improvement in energy efficiency and cost within a single rack. Furthermore, the system architecture is designed to scale to megawatt-level density if required by applications, although these figures are company goals and have not yet undergone independent verification.

Key aspects of the work include silicon architecture and design development, advanced integration, and software orchestration and ecosystem validation. These elements cover hardware architecture, thermal design, power optimization, and electrical parameters, as well as compatibility definition with existing AI frameworks.

The investment community also gained representation on Mueon's board of directors. Manish Muthal, Senior Managing Director at Maverick Silicon, will join the board. Srini Ananth, Managing Director at Intel Capital, will also serve as a director. Both investors emphasized the company's systemic approach to data center design.

Industry partners have also shown interest in the platform's potential. d-Matrix sees opportunities in combining modular infrastructure with in-memory computing. Ampere Computing, now part of SoftBank, is also collaborating with Mueon, focusing on mitigating technological risks as the platform moves toward production. Mueon is also working with technology and manufacturing partners.

The increasing demand for AI workloads continues to strain the power and cooling capacity of data centers. Operators require infrastructure capable of scaling with expanding workloads without proportionally increasing overhead. Mueon's methodology seeks to solve this problem through modular system integration.

The next phase of funding will focus on growing engineering capabilities, engagement, and production readiness. It is necessary to demonstrate that Cubelets can achieve the expected efficiency gains at scale. Successful validation could help establish Mueon's architecture as an alternative for future AI infrastructure.

Albert has successfully raised $55 million in a Series B funding round, with the funds designated for advancing artificial intelligence in scientific research. The leadership of this round was secured by TCV, and new investors joined, including Delta-v Capital, Socium Ventures, High Sage Ventures, Coral Capital, and Legion VC.

Truffle Capital led the financing, with participation from existing investors such as Coatue, J.P. Morgan Growth Equity Partners, Index Ventures, and Applied Ventures. The company plans to use the raised capital to further refine its chemistry-based platform.

Located in Oakland, California, Albert develops an operating system for materials science and chemistry. This platform integrates specialized AI with corporate security, management, and integration features, such as no data storage, granular access control, and audit trails of reasoning.

Albert provides services to organizations with complex research challenges facing evolving regulations and disrupted supply chains. Among the company's clients are BASF, Henkel, Clorox, Kenvue, and Akzo Nobel. Albert's goal is to help these companies' scientists faster transform experimental data into innovative products.

Albert's model, named Valence, is chemically specific and demonstrates an accuracy 45 times higher than general AI when answering scientific questions. This accuracy metric was achieved in a new study accompanying the funding announcement. Valence was trained on text processing and composition and function identification.

The method mimics the ability of an experienced chemist to distinguish between similar compositions and materials, as well as understand how minor changes can significantly impact an experiment. In chemistry, for instance, the slightest deviations in ingredients, procedures, or experimental conditions can lead to different results. Albert handles this through domain-specific intelligence and its Form Bench benchmark for formal chemistry.

Albert asserts that this benchmark will set a new standard for evaluation in this highly specialized field. The Albert platform combines scientific knowledge, AI tools, integrations, and regulatory control into a single environment. It allows scientists to interact with research data using natural language. By querying Albert, users coordinate tools, agents, and models to support complex scientific work.

The system helps teams find institutional knowledge and avoid repeating past experiments. It is capable of suggesting formula candidates, assisting in experiment design, and analyzing large datasets. These capabilities aim to eliminate bottlenecks in research and improve decision-making processes.

Furthermore, Albert supports enterprise requirements regarding data security and controlled access. Its chemistry-specific approach enables organizations to link information across various research systems, facilitating the discovery and reuse of valuable experimental knowledge.

Over the past year, Albert has demonstrated significant platform growth. Project creation increased 26-fold as Albert OS was implemented in organizational research functions. The number of scientists using the platform grew sixfold across 44 countries. These achievements reflect growing interest in specialized AI for corporate research.

Workflow creation also increased fourfold as more teams adopted various research processes on the platform. Ask Albert transformed from an AI search assistant into a broader R&D partner in just six months. Client feedback highlights the value of connecting disparate scientific information. Kenvue noted that the partnership with Albert improved connections within the overall data platform, while AkzoNobel used Ask Albert to query information covering raw materials and lab journal entries. Albert intends to use the new funding to expand its capabilities and accelerate product development.

SWI Group has raised €800 million from institutional investors to develop its artificial intelligence infrastructure. The investment holding company, whose shares are listed in Amsterdam, reported a valuation of €6.1 billion. This latest funding increased the volume of capital raised from equity since March 2026 to over €1 billion.

The company plans to use the funds to develop energy infrastructure, acquire computing equipment, and build data centers. SWI's main focus is on digital infrastructure in both Europe and the United States. Its strategy includes increasing AI computing power and developing services for cloud service clients.

SWI did not disclose the identities of the institutional investors participating in the latest funding round. The transaction involved increasing the company's common shares to approximately 558.4 million, and its free float grew by about 20%.

SWI's expansion is based on acquiring control of Genesis Digital Assets. Earlier, in June 2026, the company announced its intention to invest $500 million in Bitcoin mining business. It was reported that Genesis Digital had 1.3 gigawatts of connected and approved network capacity across 15 facilities.

SWI planned to repurpose suitable sites for high-performance computing and AI. The acquisition was carried out through subsequent deals in the following months. Later, SWI acquired an additional 4.4% stake from funds managed by Stone Ridge Asset Management.

By September, the company reported owning approximately 70% of voting rights. Genesis Digital was renamed SWI Digital. SWI intends to offer its facilities to major cloud providers in Texas, North Carolina, and South Carolina, as well as offering its Swedish infrastructure to potential clients.

The company is selling the remaining three small Bitcoin mining sites in Kazakhstan, as management indicated that Bitcoin mining is no longer a central element of its strategy. Repurposing existing infrastructure may help SWI meet the demand for AI computing.

Recent SWI reports demonstrate an extensive infrastructure development plan. Its US-focused platform has about 1.2 gigawatts of secured network connections, and the European business AiOnX plans an additional 2.3 gigawatts of capacity. These figures illustrate the group's projected scale in both regions, but they reflect only secured power access and planned projects, not currently operational AI computing power.

SWI is developing its own enterprise and developer-oriented AI cloud platform that will provide access to GPU resources. The new funding will be directed towards advancing data center construction and equipment deployment.

Previously, Genesis Digital received a significant $1.15 billion from the trading firm Alameda Research, owned by Sam Bankman-Fried, between August 2021 and April 2022. However, after the collapse of FTX, the FTX Recovery Trust intervened, filing a lawsuit to recover these funds. The trust alleged that the misappropriated funds were used and assets were acquired at inflated prices. The trust withdrew all claims on June 15, 2026, the same day SWI announced its initial investment in Genesis Digital.

The new funding underscores SWI's continued commitment to AI infrastructure. The company's success will partly depend on converting available network connections into valuable computing services. Demand from cloud providers could support the company's expansion into international markets.