Sand.ai raises $200 million in Series A+ round to compete with Kling and Seedance using open AI video
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Sand.ai raises $200 million in Series A+ round to compete with Kling and Seedance using open AI video

In ten months, Sand.ai has transformed from an early-stage project into one of the most discussed artificial intelligence startups in China. The company raised $200 million in a Series A+ round, aiming to become a unicorn valued at over $1 billion. Cornerstone Capital and Wangsu Science & Technology led this round. New investors include Times Capital, Panlin Capital, Orient Securities Capital, Pudong Venture Capital, and Shanghai Guofang.

Sand.ai has raised approximately $300 million in funding and is now targeting competition with video generation giants—Kling and Seedance. The company was founded in 2024 by Chao Yue, who previously worked as a senior research scientist at Microsoft Research Asia. His prominence stems from the joint development of the Swin Transformer model, which won the best paper award at the ICCV conference.

This experience shaped the company's strategic decision: Sand.ai chose an autoregressive approach to video, while most of the industry favored diffusion models. Chao later admitted that the team underestimated the complexity of the chosen path.

In May 2025, Sand.ai released the open-source project MAGI-1, which won the Physics-IQ video continuation benchmark. Then, in August 2026, a preliminary version of MAGI-2 was presented—a mixture-of-experts model with 114 billion parameters. Because it is only active about 6 billion times per pass, its cost remains low. The distilled MAGI-2 model can generate a 10-second video in 1080p resolution for approximately 0.5 yuan.

According to BigGo Finance data, the cost per second of video is about one-tenth the cost of mainstream models. Developers also point to the MagiAttention library, used by Tencent's Hunyuan team and supported via NVIDIA's NeMo AutoModel. This is a quiet but significant endorsement. Furthermore, there is a product side: the AI video creation application VidMuse generated $10 million in annual recurring revenue within two months.

It is important to note that many AI labs demonstrate impressive examples but struggle with product sales. Sand.ai demonstrates the ability to do both, which is exactly what investors are currently looking for.

Wangsu is not just providing financial support; 300 million yuan ($45 million) of capital from this company, a giant in CDN and edge computing, is directed toward this project. Wangsu is interested in collaborating with Sand.ai on low-latency edge video inference. Given clients such as ByteDance, Tencent, and JD.com, this partnership could provide Sand.ai's models access to very large customers.

The raised funds will be used for model research, training, inference infrastructure, product improvement, and expansion into overseas markets. In a broader context, the AI video race in China is accelerating as major players already have their own platforms. Kuaishou recently raised about $2.9 billion, valuing the company at $18 billion. ByteDance's Seedance reportedly generates over 1 billion yuan in monthly revenue.

Sand.ai is choosing a different path: it is independent, open-source, and operationally economical. This is attractive to developers and brands that do not want to depend on competitors' platforms. Nevertheless, risks exist: foundational models continuously consume capital, and early successes can quickly fade. However, if MAGI-2 meets expectations, Sand.ai could become a neutral choice in the AI video sphere, which warrants close monitoring.

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Sentra raises $150 million to protect data from AI agents amid growing corporate AI adoption
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Sentra raises $150 million to protect data from AI agents amid growing corporate AI adoption

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.

AI Inference Chip Startup Nano-core Chip Raises Over 1 Billion Yuan in Series C2 Round
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AI Inference Chip Startup Nano-core Chip Raises Over 1 Billion Yuan in Series C2 Round

Nano-core Chip, a developer of chips for artificial intelligence inference, based in Hangzhou, announced on October 28 that it raised over 1 billion yuan in its Series C2 funding round.

JianTou Investment led this round, with participation from Hangzhou Capital, Kaitai Capital, and other investors.

The company plans to use the raised funds for product development and preparation for mass production. Nano-core Chip was founded in 2021 and was incubated at the research institute of Peking University in Zhejiang Province.

The company creates chips that integrate three components: three-dimensional computing with near memory, in-memory computing, and RISC-V-based processing.

The company's product range is oriented towards both devices and cloud infrastructure. It was stated that the first three chips have passed the tape-out stage, and customer sample selection and initial volume shipments are planned for early 2027. This latest funding followed a Series C1 round of 1 billion yuan announced in September.

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