CES 2025
Explore the highlights from CES 2025 in Las Vegas, the world's most powerful tech event, where AI, robotics, mobility, and digital health took center stage. Experience the innovation through our lens!
Explore the highlights from CES 2025 in Las Vegas, the world's most powerful tech event, where AI, robotics, mobility, and digital health took center stage. Experience the innovation through our lens!
From keynotes by NVIDIA, Delta, and Accenture to 4,500+ exhibitors showcasing everything from agentic AI to quantum computing, CES 2025 brought together 141,000+ attendees from around the globe to witness the future of technology.
The show floor featured groundbreaking innovations in AI, digital health, sustainable energy, and mobility, with 1,400 startups in Eureka Park and major announcements from industry giants like Samsung, LG, BMW, and Waymo.
Browse the gallery below and relive the memorable moments.














































































PhysicsX, a London-based AI engineering startup, has raised $300M at a $2.4B valuation to scale its physics simulation platform across industries like aerospace, semiconductors, and automotive.
Suno raised $400 million at a $5.4 billion valuation—more than doubling its worth in seven months—despite facing copyright lawsuits from Universal Music Group and Sony alleging unauthorized use of over 61,000 copyrighted works in its AI training data.
OpenAI expanded Codex with six role-specific plugins for jobs like sales and investment banking, a Sites feature for sharing work as hosted interactive webpages, and inline Annotations for targeted edits, as non-developer users grow three times faster than developers on the platform.
Inherent emerged from stealth with a $50M seed round co-led by Index Ventures and Radical Ventures to develop Faraday, an AI system designed to reimagine scientific discovery by enabling open-ended human-AI collaboration on unsolved research problems.
XCENA raised $135 million at a $570 million valuation to commercialize its MX1 chip, which places compute capabilities directly inside memory modules to eliminate the costly data relay between CPUs, GPUs, and DRAM that bottlenecks every AI inference request.
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