Brahma AI has raised $150 million in a funding round led by Multiples Alternate Asset Management, which put in $100 million through preferred shares. The company, which builds an AI-native operating system for enterprise audiovisual content, counts Warner Bros., the NBA, and Mayo Clinic among its clients. Prime Focus subsidiaries Brahma Holdings Ltd and Brahma India received $54.36 million and $45.64 million respectively from the round. Prime Focus will retain a 65.67% economic interest in both entities. Brahma AI also earned a 2026 Technology & Engineering Emmy Award and plans to use the capital for R&D, global expansion, and talent building.
On the geopolitical front, the U.S. and China clashed at a UN Security Council meeting over how AI should be governed globally. U.S. OSTP Director Michael Kratsios pushed back against any attempt to create a global control framework, instead urging nations to preserve sovereignty and pursue permissionless innovation. China's Fu Cong countered that consensus-based global governance is needed to maintain international peace. The disagreement highlights how tough it will be to reach consensus on AI safety, even as OpenAI CEO Sam Altman and others have called for global guardrails. Separately, Trump and Xi are expected to discuss AI risk ahead of a summit, following recent talks between U.S. Treasury Secretary Scott Bessent and Chinese Vice-Premier He Lifeng.
In other AI news, Salesforce CEO Marc Benioff revealed that the company's investment in Anthropic could be worth tens of billions of dollars. He noted that OpenAI's partnership with Microsoft blocked Salesforce from working with them directly, making the Anthropic bet a valuable alternative. Meanwhile, the Netherlands is investing 40 million euros through NADI to develop next-generation energy-efficient AI chips, aiming to speed up chip design from years to weeks and reduce the country's carbon footprint. Alibaba also unveiled its Zhenwu V900 AI accelerator chip, featuring 216 GB of GPU memory and 1,200 GB/s inter-chip bandwidth, with mass production expected in Q1 2027.
Research and industry events round out the developments. An agentic system called Ascent improved clinical data analysis accuracy by 27 and 20 percentage points using the Model Context Protocol on the EpiTrap dataset. Zenity is hosting its AI Agent Security Summit series in London and New York this October, bringing together experts from RUSI, Deep Cyber, Oxford, and OWASP. A new book, Information Security for Executives by Fred Igbeare, offers business leaders practical guidance on handling AI-driven cyber threats. Finally, the shift from AI training to inference is changing how companies buy servers, with concurrency, latency, and cost per token now driving purchasing decisions.
Key Takeaways
- <ul><li>Brahma AI raised $150 million led by Multiples Alternate Asset Management, with $100 million from preferred shares and an additional $100 million in investor interest</li><li>Prime Focus subsidiaries Brahma Holdings and Brahma India received $54.36 million and $45.64 million respectively, with Prime Focus retaining 65.67% economic interest</li><li>The U.S. rejected global AI governance at the UN Security Council, while China called for consensus-based regulation, deepening the transatlantic divide</li><li>Salesforce CEO Marc Benioff said the Anthropic investment could be worth tens of billions, citing OpenAI's Microsoft partnership as a blocker</li><li>The Netherlands allocated 40 million euros for energy-efficient AI chip development through NADI</li><li>Alibaba unveiled the Zhenwu V900 AI accelerator with 216 GB GPU memory and 1,200 GB/s bandwidth, with mass production expected in Q1 2027</li><li>Ascent agentic system improved clinical data analysis accuracy by 27 and 20 percentage points using the Model Context Protocol</li><li>Zenity will host AI Agent Security Summits in London and New York in October, featuring experts from RUSI, Deep Cyber, Oxford, and OWASP</li><li>The shift from AI training to inference is reshaping server purchasing decisions, prioritizing concurrency, latency, and cost per token</li><li>Trump and Xi are set to discuss AI risk, following recent U.S.-China talks in New York between Treasury Secretary Bessent and Vice-Premier He Lifeng</li></ul>
Multiples leads $150 million funding round in Brahma AI
Multiples Alternate Asset Management is leading a $150 million funding round in Brahma AI, an AI-native operating system for enterprise audiovisual content. Multiples invested $100 million through the issuance of preferred shares. Brahma AI works with global customers including Warner Bros., the NBA and Mayo Clinic. The technology has received a 2026 Technology & Engineering Emmy Award. The funding will support research and development, global expansion and talent building.
Prime Focus subsidiaries get $100 million from Multiples PE
Prime Focus subsidiaries secured a $100 million investment from Multiples Private Equity as part of a larger $150 million financing round for Brahma AI. The investment is split between Brahma Holdings Ltd ($54.36 million) and Brahma India ($45.64 million). After the transaction, Prime Focus Ltd will maintain a 65.67% economic interest in both entities through DNEG Holdings Ltd. The deal marks a monetization milestone for Prime Focus's AI enterprise assets.
Brahma AI raises $150 million round led by Multiples
Brahma AI has raised $150 million through the issuance of preferred shares, with a $100 million investment from Multiples Alternate Asset Management. The company also received an additional $100 million of investor interest. Brahma AI focuses on four global verticals: media and entertainment, sports, healthcare and advertising. The company was founded by Prabhu Narasimhan and is led by Jo Plaete as Co-Founder and CTO. Its technology has earned a 2026 Technology & Engineering Emmy Award.
US opposes global AI governance at UN Security Council
Michael Kratsios, Assistant to the President and OSTP Director, spoke at the UN Security Council meeting on artificial intelligence and international security. He stated that the United States rejects any attempt to construct a globalist scheme of control for superintelligence. Kratsios urged countries to preserve national sovereignty in governing AI rather than handing responsibility to international bodies. He promoted a policy of permissionless innovation and said the U.S. wants to help partner nations build their own sovereign AI capability.
US and China clash over AI regulation at UN meeting
Top officials from the U.S. and China presented opposing visions for AI regulation at a UN Security Council meeting. U.S. OSTP Director Michael Kratsios opposed new global governance for AI and stressed national sovereignty. China's representative Fu Cong called for a consensus-based global governance framework to preserve international peace. The disagreement showed how difficult it will be to build international consensus on AI safety. Several American tech executives, including OpenAI CEO Sam Altman, have also called for global AI guardrails.
Ascent agentic system improves clinical data analysis accuracy
Ascent is an agentic system that uses the Model Context Protocol to analyze real-world clinical data. It was tested against a fixed pipeline using the EpiTrap dataset. With capable models, agents improved accuracy by 27 and 20 percentage points on native and standardized schemas respectively. The system helps with feasibility assessment and expert-guided analysis.
Netherlands invests 40 million euros in energy-efficient AI chips
The National Agency for Disruptive Innovation (NADI) is allocating 40 million euros for teams from the Netherlands and Europe. The funding aims to develop next-generation energy-efficient AI chips. The goal is to speed up chip design from years to weeks. This investment supports the government's effort to reduce the country's carbon footprint and fossil fuel reliance.
Alibaba unveils Zhenwu V900 AI accelerator chip
Alibaba unveiled the Zhenwu V900 AI accelerator at the Apsara Conference 2026. The chip has 216 GB of GPU memory and 1,200 GB/s inter-chip bandwidth. It can scale to a supernode cluster of up to 500,000 cards. Mass production is expected in the first quarter of 2027, and a 10-trillion-parameter Qwen model is on the roadmap.
Trump and Xi to discuss AI risk amid tech war
Leaders from Anthropic, OpenAI, and SpaceXAI have called for pacing frontier AI development. Their concerns come ahead of a summit between US President Donald Trump and Chinese President Xi Jinping in Washington. US Treasury Secretary Scott Bessent and Chinese Vice-Premier He Lifeng recently met in New York City to discuss AI safety. The talks aim to find common ground on AI risk.
Zenity AI Agent Security Summit comes to London and New York
Zenity is hosting its global AI Agent Security Summit series in London and New York City this October. The summits bring together security researchers and industry leaders to address risks of autonomous AI systems. Featured speakers include experts from RUSI, Deep Cyber, Oxford, and OWASP. The New York summit takes place at Pier Sixty on October 21.
New Book Helps Leaders Tackle AI and Cybersecurity Risks
A new book called Information Security for Executives teaches business leaders how to handle cyber threats, including those driven by AI. Author Fred Igbeare uses over 20 years of experience to explain security in simple terms. The book helps leaders evaluate risks and protect their organizations. It is available in hardcover, paperback, and eBook formats.
Salesforce Says Anthropic Investment Could Be Worth Tens of Billions
Salesforce CEO Marc Benioff says the company's investment in Anthropic was a backup plan that could pay off greatly. He says OpenAI's partnership with Microsoft stopped Salesforce from working with them directly. The investment could be worth tens of billions of dollars.
AI Shift From Training to Inference Changes Server Buying Decisions
As AI use moves from training models to inference, companies need to change how they buy servers. Concurrency, latency, and cost per token are now key factors. Inference means using a trained model to make decisions, which requires different server capabilities. Buyers must focus on speed and efficiency for handling many requests at once.
Sources
- Multiples leads USD 150 million funding round in Brahma AI with USD 100 million investment
- Prime Focus Subsidiaries Secure $100 Million Investment From Multiples PE As Part Of Brahma AI Deal
- BRAHMA AI RAISES $150 MILLION ROUND LED BY MULTIPLES
- U.S. Intervention in the UN Security Council Meeting on "Artificial Intelligence and International Security"
- US, Chinese visions for AI regulation differ sharply at UN meeting
- Ascent: An Agentic System over the Model Context Protocol for Real-World Clinical Data Analysis
- Government agency for technological investment to spend €40 million on energy-saving AI
- Alibaba unveils Zhenwu V900 AI accelerator, claims it's 'the most powerful AI chip in China' — accelerator supports 500,000 chip supercluster with a 10T-parameter Qwen model on the roadmap
- In Focus | Will Xi and Trump find common ground on AI risk amid an escalating tech war?
- Zenity Brings AI Agent Security Summit to London and New York This October
- Information Security for Executives Addresses AI-Driven and Other Cybersecurity Risks for Business Leaders
- Salesforce's plan B AI investment could be worth 'tens of billions'
- What AI’s shift from training to inference means for your next server purchase
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