Larridin raised $30 million to expand corporate AI measurement platform
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Larridin raised $30 million to expand corporate AI measurement platform

Larridin, a company based in South San Francisco, has raised $30 million to develop its corporate artificial intelligence measurement platform. The company helps businesses understand the financial impact of implementing artificial intelligence. With this funding round, Larridin's total funds raised have reached $47 million.

Pelion Ventures led the Series A investment round. Other existing investors participating in the deal include Andreessen Horowitz and Gradient Ventures. New investors in the round include GFT, W23, Thayer, DG Daiwa Ventures, Alumni Ventures, and Cougar Capital. The company has tracked over two billion AI-related sessions.

The funds will be used to develop the product and expand the team. The startup's platform connects data on AI implementation, performance, and financial information from various organizations. This allows business leaders to identify opportunities and make more informed investment decisions.

Larridin is targeting a growing problem among enterprises that are adopting artificial intelligence. Most companies track AI activity but do not understand what results this activity generates. The company's platform correlates employee and agent activity with operational outcomes.

It enables businesses to assess where tools provide a return on investment and where costs should be cut. Larridin reported that the average increase in measurable team output was 47%. Furthermore, the company notes a median AI cost optimization of $2.4 million within the first year of client operation.

Larridin's client base includes SurveyMonkey, Vertiv, Klaviyo, Gainsight, and Globality. Other clients are TigerConnect, EcoVadis, and Sundt. The platform also identifies differences in AI spending across various teams. In one client project, one engineer accounted for approximately 65% of the team's total AI costs in one week.

Another analysis showed a sixty-sixfold difference in the cost of a single submitted engineering change. Two AI tools performed similar work but generated significantly different costs. This data demonstrates why mere adoption metrics are insufficient for a complete picture.

Along with the funding announcement, Larridin presented its quarterly report on the impact of AI on engineering. The Q3 2026 report covers the level of AI adoption among over a thousand software engineers. The report identifies workflow violations in software development.

The proportion of code merge requests executed by AI increased from 35% in April to 62% in September. However, the higher workload also created additional pressure on the review process. The median waiting time for initial human code review increased by 50% over the same period.

These results point to increasing pressure points for engineering teams. An increase in AI-generated work does not guarantee faster software delivery. Organizations must consider both review throughput and code quality.

Larridin will scale its staff in parallel with product development. Jeff Kierl, General Partner at Pelion Ventures, stated that 'Larridin provides transparency on how dollars spent on corporate AI translate into quantifiable business results.'

Larridin enters a market where corporate AI spending continues to draw close scrutiny. Businesses are moving from initial adoption to stricter financial control. The company was founded in 2024 and has expanded its client base. Larridin's goal is to provide measurement for both employees and software agents.

The platform supports organizations across various industries and business functions. Alex Rampell, General Partner at Andreessen Horowitz, also highlighted the company's potential, calling its technology an important standard for measuring corporate AI. The investment will support additional capabilities as enterprises demand greater transparency. The broader trend goes beyond measuring software subscriptions; companies are increasingly seeking to understand the link between AI spending and completed work. This latest funding will support efforts to improve accountability for AI investments.

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

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.

Startup Mave raises $34 million to expand AI-powered cybersecurity platform
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Startup Mave raises $34 million to expand AI-powered cybersecurity platform

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.

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

AuxoAI has successfully raised $20.7 million in a Series A funding round to expand its business in implementing artificial intelligence within the corporate sector. The round was led by NTTVC, which attracted experienced technology executives and strategic investors. These funds confirm the company's growing significance in helping enterprises transform AI into measurable results.

Additional investors included George Steele Jr., Amit Zaveri, and Giacomo Sonnino. George Steele is an Emeritus Partner at Norwest Venture Partners and a long-time member of the Workday board of directors. Amit Zaveri serves as President, Chief Product Officer, and Chief Operating Officer at ServiceNow. Giacomo Sonnino, Managing Director at Charlesbank Capital Partners, previously worked as CIO and COO at Quantum Black North America.

Founded in 2023, AuxoAI aims to help large companies integrate AI into their daily workflows. The company's key product is Forward Deployed Experts. Their teams combine strategists and engineers who work directly on client sites. They identify operational challenges and reconfigure processes based on suitable AI opportunities.

The company reports that its teams have supported over 40 clients. These projects span industries such as manufacturing, consumer goods, healthcare, telecommunications, and others. The main objective is to boost productivity, accelerate adoption, and strengthen client engagement.

Furthermore, AuxoAI has developed Damia—its proprietary workstation for forward deployed engineers. This platform codifies knowledge gained from previous enterprise implementations, allowing teams to accelerate deployment and reduce the need for rework. Damia also supports synthetic consumer profiles generated using AI. These profiles help companies test ideas before further research, enabling them to compare simulated outcomes with real data to improve decision-making.

Stacy Simpson, Marketing Director at Athenahealth, noted that AuxoAI helped teams implement new workflows and create AI agents. According to reports, this collaboration shortened campaign timelines and reduced manual checks. Michael Brid, Marketing Director at Fogo de Chão, highlighted the role of Damia in marketing, menu design, and pricing decisions.

NTTVC led the financing after a thorough evaluation of AuxoAI's founding team and its client relationships. This venture capital firm partners with NTT, a global technology group. Its investment strategy focuses on startups aiming for growth and international expansion. NTTVC founder Wab Goel emphasized the combination of technical drive and understanding of client needs within the team. He stated that trust is critical when implementing AI in significant business operations, and NTTVC believes AuxoAI can build a sustainable business based on this combination.

The investment also brought together experienced industry figures into AuxoAI's network, whose expertise covers enterprise software, technology leadership, and investment management. These connections may help strengthen the company's commercial presence and strategic direction.

AuxoAI plans to use the Series A funds to hire more forward deployed specialists globally. The company is also investing in its proprietary AI technology and delivery capabilities. The next step in the company's strategy is expanding its strategic ecosystem.

As the adoption of generative AI grows in the corporate sector, the demand for knowledge regarding its implementation is increasing. For many organizations, this means needing not just access to general-purpose models, but specialized systems that align with current workflows and deliver reliable results. AuxoAI operates in a highly funded market where other firms also provide AI resources to client organizations. AuxoAI stands out by combining three pillars: industry expertise, implementation experience, and an internal reusable toolkit.

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