Kalepa raises $75 million to expand AI-based insurance software

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.

San Francisco-based startup Collective has raised $100 million to develop its financial services designed for individual entrepreneurs. The platform integrates various business functions, including accounting, payroll, tax reporting, and other services.

The funding includes a $40 million Series B round, as well as $60 million from General Catalyst's Customer Value Fund. General Catalyst, QED Investors, and Gradient Ventures led the equity round; Intuit Ventures, FT Partners, and SemperVirens also participated.

Collective's founder is Hooman Radfar, who learned about the financial benefits of business tax planning through his family. Reports indicate that his father's business structure helped him save significantly more on self-employment taxes than his mother's.

The $60 million comes from General Catalyst's Customer Value Fund. Unlike traditional equity financing, this arrangement supports client acquisition through a revenue-based repayment model. Thus, the total funding package reached $100 million.

The company has not disclosed its current valuation or the specific repayment terms for the customer acquisition mechanism. General Catalyst has used similar mechanisms to support other companies in the financial and business software sectors, but the specific terms of the Collective agreement have not been made public.

A separate $40 million Series B round provides traditional equity financing for broader company expansion. Collectively, these funds support both product development and customer base growth. General Catalyst partner Pranav Singhvi noted that small businesses represent a significant opportunity and expects AI adoption to accelerate growth in this market.

Previously, Collective raised $8.65 million in a seed round in 2020, followed by $20 million in a Series A round in 2021, and $50 million in July 2023. The market potential is assessed as substantial.

Collective serves individual entrepreneurs, independent consultants, and freelancers. The company's comprehensive membership provides business registration, bookkeeping, invoicing, payroll, and tax filing. Collective members are also offered health and business insurance.

In July 2026, the company launched its Insurance Center in partnership with Coverdash and Solo Health. In April 2026, Collective acquired the AI bookkeeping startup Open Ledger. The new funding will help expand these offerings into the banking sector and add additional insurance products.

Collective reports 127% year-over-year business growth and cumulative tax savings of $350 million for its members. According to the company, its most profitable clients save up to $40,000 annually. However, the company has not disclosed revenue or customer numbers, so these figures remain metrics provided by the company itself. The company estimates that over 30 million businesses in the United States have no employees, and AI tools can help a larger number of independent founders manage complex financial operations without hiring specialized teams.

Collective faces competition from financial platforms serving independent workers and small businesses, notably Lettuce Financial. The market has also experienced turbulence, including the sudden closure of Bench in December 2024. Other AI bookkeeping startups target audit firms and corporate finance teams, which differs from Collective's approach focused on the needs of individual entrepreneurs. Collective's strategy is to automate more workflows within a single integrated platform, potentially reducing the need for separate tools for accounting, taxation, and insurance. Radfar believes that AI can enhance the efficiency of independent founders, and the next phase of the company will focus on testing its integrated financial platform's ability to deliver on this promise at scale.

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.