Serval raises $150 million in Series C round to expand AI-powered enterprise automation platform

Upwind has successfully raised $400 million in a Series C funding round. These funds will be used to further develop its platform designed to ensure security in cloud environments and in the field of artificial intelligence. Following this round, the company's valuation reached $3.8 billion.

The Upwind platform also addresses security issues arising from the increasing adoption of AI. Investors participating in the deal include Cyberstarts, Greylock Partners, Craft Ventures, Salesforce Ventures, and Picture Capital. Other investors include Leaders Fund, TCV, Alta Park Capital, Penny Jar Capital, Cerca Partners, and Swish Ventures.

Upwind was founded in 2022 by Amiram Shahar, Liran Polak, Levi Ferdman, and Tal Zur. Notably, Shahar previously co-founded Spot.io, which was acquired by NetApp for $450 million in 2020. After that, the founders focused their attention on cloud security.

This new funding followed a Series B round in January 2026. According to presented reports, the company was valued at approximately $1.5 billion at that time, demonstrating significant valuation growth within one year.

The platform integrates data from cloud workloads, application programming interfaces (APIs), and AI agents, providing security teams with a more complete context when analyzing potential threats. Unlike traditional security tools that generate a large number of alerts, Upwind indicates exactly which vulnerabilities require attention.

Upwind aims to bridge this gap by connecting runtime activity with threat intelligence. This allows specialists to precisely identify compromised systems and investigate anomalies. For example, if an AI agent is granted permission to read data 'x' but then attempts to access information it is not authorized to, Upwind can trace this back to the source code.

This transparency enables faster investigations and informed remediation actions. The platform is available on platforms such as Amazon Web Services, Microsoft Azure, Google Cloud Platform, and Oracle Cloud Infrastructure.

Upwind's revenue increased fourfold in 2026 amid growing demand for cloud and AI security. The company reported an Annual Recurring Revenue (ARR) exceeding $50 million, compared to approximately $20 million at the end of 2025.

Despite intense competition in the cloud security sector, the company's valuation of $3.8 billion with over $50 million in ARR corresponds to a multiple of about 76x revenue, setting high expectations for future growth. To support this valuation, the company needs to continue expanding its customer base. Major players in the market include Palo Alto Networks and CrowdStrike.

There are also smaller startups in AI security targeting new threats related to autonomous agents and enterprise AI applications. Upwind stands out among them due to its runtime intelligence and contextual visibility across various cloud environments.

The new investment comes at a time when companies are beginning to actively use AI agents in their business processes. These systems are capable of handling employee personal data and performing tasks without human intervention. Therefore, security teams need to understand how such agents operate within the current infrastructure.

Upwind's mission is to unify real-time data with autonomous investigation and problem resolution. The platform can help development and operations teams identify the most critical vulnerabilities. However, long-term growth will depend on customer adoption of the platform and achieving tangible security results. The raised funds will be used for further technological refinement and expansion of enterprise adoption.

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.

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.