Wabi raises $55 million to develop a shared personal AI assistant

Serval has raised $150 million in a Series C funding round to scale its platform for automating business processes in large enterprises. The round was led by Sequoia, which valued the company at $3 billion. Existing investors included Elad Gil, Evantic, First Round, General Catalyst, and Redpoint, while new participants in the round were Conviction and Headline.

Thanks to this capital raise, the total investment in Serval has reached $277 million. This marks the company's third funding round in approximately twelve months, following a $75 million Series B round announced in December 2025. Serval's main goal is to replace routine administrative tasks with automated workflows.

Serval's technology creates automations that resolve requests within a controlled corporate system. The company serves clients such as Fox Corporation, WPP, Live Nation, Notion, Ramp, and Lucid Motors. The funds raised are planned to be used to accelerate product development and expand global operations.

Serval's core product, Catalyst, allows employees to automate work using artificial intelligence agents. Users do not require engineering expertise; they can simply describe tasks in natural language, after which the platform automatically creates the necessary automations to perform them.

Initially, Catalyst focused on IT support, handling processes like password resets and access requests. Now, the company is expanding its capabilities to other departments of enterprises, aiming to help employees automate repetitive work outside of traditional IT operations.

The company reports that its quarterly recurring revenue has doubled since the Series B round. Furthermore, two clients from the Fortune 20 list have recently implemented the Serval platform for organization-wide automation. Most clients begin using the product within 30 days.

Serval positions its technology against established enterprise service providers. Its strategy challenges outdated systems that primarily track requests rather than automatically resolving them. Serval's ability to ensure reliable implementation remains a key driver of its growth.

The company is launching a professional services division called ProServal, which will specialize in enterprise automation. This division will place over one hundred Automation Engineers in complex organizations. Serval also intends to increase its staff in several areas.

These automation experts will determine which tasks are eligible for automation and create solutions by designing automation around existing business processes. The company plans to hire engineers who can learn quickly in the constantly changing environment of AI development tools. About half of the first cohort of engineers will consist of recent graduates who will be offered a four-week training course before being placed in client organizations. This helps solve one of the major problems of enterprise AI—turning impressive technology into real business value.

Serval's latest funding reflects investor interest in operational AI agents. These systems are capable of not just answering questions but also performing tasks within corporate environments, opening up opportunities to challenge existing software platforms.

However, competition remains high, as ServiceNow and Workday are expanding their own AI-powered automation capabilities. These recognized providers also possess existing customer relationships and corporate control. Serval must prove that its platform can reliably replace legacy systems at scale.

With clear revenue growth, Serval demonstrates strong commercial appeal. However, maintaining this pace lies in the more complex implementation within large organizations. By securing a $150 million round, Serval will gain the opportunity to scale its operations.

The Israeli cybersecurity startup announced the successful raising of $34 million in funding. This round was a Series A of $28 million, led by the fund Red Dot Capital Partners. Representatives from Lumir Growth Partners also participated in the investment.

The company plans for its solutions to enable security teams to respond faster as cyber threats become more complex. Previously, Mave had raised $6 million in seed funding from Dell Technologies Capital and Emerge Ventures.

The funds will be directed towards developing products for the corporate sector and conducting artificial intelligence research, as well as implementing expansion plans. Mave's AI-based tools are designed to reduce the time analysts spend gathering evidence and analyzing alerts.

Mave was founded in 2025 by CEO Raziel Oren and CTO Guy Eshel, who co-founded the company. Both founders previously served in Israel's intelligence unit 'Unit 8200', providing the company with deep expertise in corporate security operations.

Large organizations often use dozens of different security tools. Incident information can be scattered across identity systems, endpoints, and cloud environments. Analysts have to consolidate these disparate data sources before making decisions on further actions.

Traditional Security Information and Event Management (SIEM) systems provide a unified view of collected data, but they may not contain all the necessary information to understand an active incident. This forces analysts to manually check threats across multiple platforms.

Mave's AI agents integrate directly with existing security systems. They query data from each tool, collect relevant information, and consolidate the results within a single investigation. The platform is also designed to filter false positives and detect activity related to potential attacks.

The system is capable of executing approved response actions according to rules set by security teams. These actions can include isolating affected systems, disabling compromised accounts, and blocking malicious activity. Human oversight remains critical when approval or judgment is required.

According to Mave, its platform is already used by 50 companies and global managed security service providers. These implementations help protect hundreds of clients, including organizations operating in regulated financial and medical sectors.

The company reports that its annual recurring revenue has grown by over 400% in the last year and is closing seven-figure deals. These metrics attract commercial attention, even though the absolute revenue volume is not disclosed.

The fundraising comes amid a growing number of AI-driven attacks against organizations. AI-based cyberattacks can develop significantly faster than security teams can conduct manual investigations. Mave believes that agentic systems will help organizations cope with this increasing volume of threats.

The new funding will be used to develop the research platform and strengthen the enterprise platform, as well as for international scaling, as interest in automated security operations continues to grow. The company currently has about 30 employees and plans to double its staff over the next three years, adding specialists in go-to-market and AI research.

The Israeli development center of the company will play a key role in this growth. Like other firms creating AI-based security devices, Mave operates in a competitive environment. The success of Mave's enterprise segment depends on the reliability of investigations, openness of choice, and restraint in response measures.

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.