AI company Flam raises $40 million in Series B round led by QED Investors

Engineers have long faced a problem: artificial intelligence capable of writing novels in seconds struggles to grasp fragile glass without crushing it. This issue stems from a significant gap between digital intelligence and physical execution.

Bridging this gap requires flawless and continuous feedback between software systems and mechanical bodies. To solve this narrow problem, Kinetix AI has secured $75 million in a major and significant angel funding round, marking a serious step forward in embodied intelligence.

The historic funding round was led by Vertex Ventures, the powerful venture arm of Singapore's Temasek Holdings. F&G Venture and Wanshi Capital also joined the round to invest over 500 million RMB (approximately $75 million) in the early-stage startup, Kinetix AI.

Kinetix AI is not a small garage project. Founded in September 2025, the company has rapidly grown to nearly 200 employees. Driving Kinetix AI's rapid growth is CEO Yu Ze, who previously commercialized autonomous mining trucks for Huawei.

The team also includes Luo Ping, an outstanding deputy dean from HKU, and Zheng Qunyuan, former head of robotics at XPeng. This group possesses deep knowledge combining academic theory, autonomous vehicle logic, and manufacturing capabilities.

Many robotics companies cut corners on quality, but Kinetix does not accept this. The company firmly believes that since the world's infrastructure is built for humans, robots must look and move exactly like us to integrate seamlessly.

Their flagship creation, KAIBot, stands 1.73 meters tall and boasts an impressive 115 degrees of freedom. It is distinguished by its high quality and ultra-realism. Although creating such a robot requires significantly higher initial costs, and the supply chain is a nightmare, co-founder Zheng Qunyuan argues that starting with cheap, low-quality equipment is simply foolish. By locking down a true human form factor, they ensure their AI models will not fail as soon as any joint is updated.

Imagine a robot that doesn't just mimic the human silhouette but perfectly matches human motion data. When the hardware directly reflects our biology, algorithmic work transfers effortlessly.

The core magic happens thanks to the attracted capital, which is directed towards accelerating their closed ecosystem. This can be visualized as a three-headed monster. First, it involves collecting multimodal, egocentric data. Then, this raw data is fed directly into the native fundamental model embodied in the body. Finally, hardware such as KAIBot and the highly maneuverable KAI Hand physically executes the learned actions.

This continuous loop creates an 'intelligence flywheel.' As the robot collects sensory data from the real world, the AI model becomes smarter, instantly enhancing the capabilities of the physical hardware. There is no longer a need to rebuild the physical machine with every software update.

The system's dynamism was demonstrated at the 2026 World Games for Human Robotics, where their system played table tennis against world champion Ding Ning. The goal is to create a premium class of robots ready for complex real-world tasks.

Blee, a New York-based company, has successfully raised $20 million in Series A funding. The company provides corporate clients with tools to ensure that marketing materials comply using artificial intelligence.

The funding round was co-led by Fin Capital and SMBC Fin Atlas Beyond Fund, with participation from Hannah Grey VC and the National Bank of Canada. Existing investors, including Y Combinator, Penny Jar Capital, Cardumen Capital, and Treasury, continued to support the company. With this new injection, Blee's total funding has reached $27 million. The company was founded in 2022 with the goal of modernizing corporate content management.

Blee serves teams responsible for legal matters, regulatory compliance, and branding that manage client-facing content. The company's platform helps organizations vet materials before publication and monitors published content to ensure ongoing compliance. The company plans to continue investing in both its product and its team.

Artificial intelligence allows marketing departments to create content faster than ever before. However, this acceleration introduces new complexities for legal and compliance teams. Traditional review processes often rely on manual checks.

Gartner predicts a sharp increase in the automation of marketing work using AI. Marketing leaders expect the level of automation to rise from 16% in 2026 to 36% by 2028. The growing volume of content creates pressure in regulated industries, and Blee intends to support organizations managing increasingly automated marketing operations.

Teams need to review advertisements, video materials, partnership assets, and digital campaigns. Blee aims to bridge this gap through AI-powered compliance. Its platform integrates with existing content creation tools, thereby creating a continuous layer of governance for corporate marketing.

The system provides feedback regarding regulatory, legal, compliance requirements, and brand standards. Teams can identify potential issues even before materials undergo official review. Blee reported that its clients have achieved a reduction in average review time by 65%.

Blee manages the workflow from initial submission to approval, as well as tracking comments and maintaining a full audit trail. The platform continues to function after content reaches customers, monitoring published materials for adherence to regulatory and brand norms. This includes social media and influencer websites. This approach gives compliance teams greater transparency across all content channels. Furthermore, Blee is responding to the rise of AI agents capable of generating large volumes of customer content with minimal human involvement.

Founder and CEO Guy Shahar stated that businesses require stronger control over their content. He believes that organizations implementing such systems early can gain a competitive advantage. Expedia Group is one of Blee's clients, utilizing the platform to support its legal activities.

Blee plans to use the Series A funds to deepen its capabilities in content governance. The company intends to expand into new industries and geographic markets, while also targeting more executives in the fields of law, compliance, marketing, and branding.

Currently, Blee serves large enterprises across several core sectors, including financial services, travel, life sciences, and consumer brands. SoFi Technologies also uses the platform. Blee reported that its annual recurring revenue increased tenfold between June 2025 and June 2026. The company is also preparing for announcements of additional enterprise clients. Its expansion is expected to strengthen its presence in North America and Europe. The funding comes amid the growing use of AI-generated content by enterprises. Companies are now forced to balance faster production with enhanced control. Blee aims to become the central compliance layer for this transition, and its platform is designed to help enterprises scale content without compromising oversight.