AuxoAI raises $20.7 million in Series A round to scale enterprise AI implementation

North.cloud has successfully raised $60 million in a Series B funding round. These funds will be used to develop the company's financial operating system, which covers cloud services, artificial intelligence, and data handling.

Investors participating in this round include Peak Span Capital, Liquidity Ventures, Companyon Ventures, Alpaca, Uncommon Denominator, Gaingels, and Mana Ventures. The secured capital will allow for increased investment in product development, as well as ensuring a higher degree of automation and adding new integrations.

North enables enterprises to reduce infrastructure costs across all leading cloud service providers and modern data platforms, including Microsoft Azure, Google Cloud, and AWS. The company aims to replace fragmented processes related to various pricing models, usage requirements, and reporting tools inherent in each system (whether it is cloud infrastructure, a data model, or a service).

Thanks to the North platform, clients have saved over $400 million against total managed cloud spending, which approaches two billion dollars. Among the company's clients are AssemblyAI, Atlan, Tines, SnapLogic, Emplifi, and Imply. The platform addresses a growing problem for finance and engineering departments.

Traditionally, teams often use spreadsheets and separate dashboards to understand infrastructure costs, which consumes significant time without automatically eliminating costly inefficiencies. North combines cost analytics with automated optimization, helping businesses identify waste, manage cloud commitments, and increase computing value. This approach provides finance and engineering teams with a unified view of infrastructure economics.

The latest funding followed the release of North v3, which expanded support to Microsoft Azure, thus completing support for three major hyperscalers. Furthermore, native integrations with OpenAI, Anthropic, and Snowflake were implemented, and the Autobot automatic commitment scaling mechanism was enhanced.

Artificial intelligence is creating new challenges in business financial management. The increasing use of models adds an extra layer of complexity to existing cloud service and data expenditures. North is expanding its platform to help companies manage these interconnected costs.

TokenFlow's offering integrates model usage, attribution, budgeting, and financial control into a single system. Businesses can use these features alongside existing cloud infrastructure management, reflecting the growing overlap between AI and traditional infrastructure costs.

North believes that effective cost management requires more than just dashboards for companies. Automated systems can help teams detect changes, improve resource allocation, and leverage optimization capabilities, which can reduce manual workload as AI adoption accelerates.

AssemblyAI reported an effective savings rate of about 50% through its work with North. The company noted that its coverage expanded in parallel with infrastructure growth, allowing the team to focus on customer-centric development.

North plans to reinvest the Series B funds into increasing the number of integrations and strengthening autonomous optimization. Funds will also be invested in additional AI cost management tools and new personnel hiring. These investments will help North realize its vision of fully automating the infrastructure cost lifecycle.

The company demonstrates a customer retention rate of 98.8% and reports over $400 million saved by its clients. North's current clientele includes several large technology companies, and the company believes its results can be leveraged to target other cost categories. As AI plays an increasingly vital role in software development, infrastructure costs are becoming less separate from the product and the business it supports. North is building a platform designed to help such enterprises manage these expenses without stifling innovation.

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.