Kindo raised $30 million to expand its enterprise AI management platform

Hatz AI has successfully raised $24 million in a Series A funding round, with the funds designated for the development of its artificial intelligence platform. Nadia Partners led this round, with participation from Vestigo Ventures and The Private Shares Fund.

The investment will enable the company to scale its MSP partner network. Currently, Hatz AI has thousands of MSP partners connected across 50 states, nine Canadian provinces, and nine other countries.

Through its network, the company provides access to millions of small and medium-sized enterprises. Over the past year, the number of active MSP partners has more than tripled, and revenue has increased even faster. The company's staff has also grown from 14 employees to nearly 60 people.

Hatz AI offers an AI-powered operating system specifically designed for Managed Service Providers (MSPs). This platform allows MSPs to create and offer white-labeled AI products, as well as develop custom workflows and agents for their clients' businesses.

The system provides multi-tenant management and automatic routing among popular foundational models. Furthermore, MSPs gain greater control over client data, security, and costs, helping them offer AI as a service under their own brands.

Hatz utilizes a channel-oriented business model instead of direct sales to large enterprises. This positions MSPs as potentially reliable partners in the process of implementing AI in business. To date, over 15,000 Hatz AI programs have been implemented globally.

The new capital will be used to expand the platform's functionality. Key areas of focus include improving the internal automated model routing mechanism and benchmarking tools. The company also plans to expand its internal software factory infrastructure.

A team of Forward Deployed Engineers who will work directly with clients will be formed to closely interact with MSP partners. These specialists will focus on enhancing platform performance and assisting partners in implementing new workflows.

One project is the SMB1 benchmark, which assesses the complexity and cost of task execution, as well as the number of tasks each model can perform, using these results to select more efficient and affordable solutions.

The investment comes amid growing interest from small businesses in simple and secure ways to integrate AI into their organizations, as most such companies lack the in-house technical expertise for scalable AI deployment. MSPs can fill this need. Nadia Partners believes Hatz is in a strong position in the field of channel-delivered AI.

Josh Schertzer noted Hatz's relevance by stating that the company aims to 'support and enable MSPs, not try to take their customers away.' Hatz is also considering opening a new office in New York and is hiring engineering, research, and technical specialists to work with partners.

The company states that these hires will help it build a wider network. As AI tools become more accessible, issues of management and cost remain persistent challenges. The next phase for the company will be assessing whether the partners who adopt its solutions can ensure long-term adoption among small and medium-sized enterprises.

With the increasing use of AI agents in large companies, these automated tools have gained unrestricted access to the organization's client files and records. However, most companies still cannot accurately determine which specific data these agents are viewing. In light of this, Sentra has raised $150 million in a new funding round led by Capital One Ventures to ensure data protection before it reaches the agents.

The company, based in New York and Tel Aviv, reports that its total raised capital now exceeds $250 million. Furthermore, Capital One Ventures has secured a seat on the board of directors. Additionally, existing investors, including Bessemer Venture Partners, Zeev Ventures, Standard Investments, Munich Re Ventures, and Key1 Capital, have decided to increase their investments.

The Sentra team has deep roots in cybersecurity. The four founders launched Sentra in 2021, including CEO Yoav Regev and President Asaf Kochan, both of whom previously served as commanders in Unit 8200. They developed Sentra using four security tools: DSPM, DDR, data access management, and DLP.

Simply put, Sentra can detect sensitive data, determine who or what can access it, and revoke access for those who do not require it. Sentra's advantage is that it operates within the client's own environment; sensitive data is never sent to Sentra. The system works in three stages: before an incident, it classifies data and enforces the principle of least privilege; during an incident, it flags suspicious access and revokes permissions; after an incident, it provides an exact list of data the agent could have accessed.

CEO Yoav Regev emphasized that AI agents have become the most active consumers of corporate data. Nevertheless, many of these agents inherit access rights that most businesses and individuals do not properly verify. He noted that the problem of one employee with excessive access rights is serious, but an agent with the same level of access performing thousands of queries per hour poses a much greater threat.

Lyft is already collaborating with Sentra. Its Chief Information Security Officer, Haim Sanders, stated that his teams aim to rapidly implement AI, but they need to know what data the agents can access before activating them. This risk is precisely what Sentra's offering addresses.

Regev also reported that since the last round, the company has tripled in size, and local valuations place its worth near one billion dollars, demonstrating over 300% year-over-year growth. The company serves about 100 large corporate clients in the US and Europe, generating tens of millions of dollars in revenue. The company employs 130 people, half of whom are located in Tel Aviv.

The raised funds will be directed towards deepening visibility into agents and copilots, maintaining continuous least privilege control, and accelerating the localization of issues in case of agent misconduct. Additionally, Sentra plans to double its staff, open an office in London, and begin pursuing federal contracts in the US starting in late 2027.

This funding round comes amidst competitor activity: Cyera reached a $12 billion valuation after raising $600 million in June, Zenity received $125 million in August for agent activity monitoring, and Veeam agreed to acquire Securiti for $1.725 billion last year. Investors believe that AI data security is the next necessary expense. The involvement of a bank's venture arm in fundraising also signals the importance of this area, as banks hold some of the most sensitive data on the planet.

For founders and security executives, the conclusion is clear: when implementing agents, the data map is as important as the model itself. Sentra is betting $150 million on the fact that most companies have yet to create this map.

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.