It’s been an entire year since we last published our last map, and so much has changed in the industry. Last year’s map had 100 companies listed, one year later, it’s over 250! More than double! I was literally up late yesterday still adding companies to the list. The space has expanded considerably, example: no one even heard of Higgsfield early last year. And others have disappeared, like Sora2, or pivoted, like Pika. I expect this to continue as the space evolves further. A few things worth noting before you dig into it: > yes, there are lots of logos, a shareable website is coming soon > we expanded the number of categories to reflect evolutions of the space > aggregators, in particular, have exploded in the last year > the amount of funding continues to go up, not down - the consolidation that many thought was coming has still not happened yet > the model companies have largely stayed the same for a year while startups battle in lots of niche areas > this map is only a taste of certain areas like AI ads and AI video games, which deserve their own maps > read our substack for more!

Today, we are thrilled to officially launch RadixArk with $100M in Seed funding at a $400M valuation. The round was led by @Accel and co-led by @sparkcapital. RadixArk exists to make frontier AI infrastructure open and accessible to everyone. Today, the systems behind the most capable AI models are concentrated in a small number of companies. As a result, most AI teams are forced to rebuild training and inference stacks from scratch, duplicating the same infrastructure work instead of focusing on new models, products, and ideas. RadixArk was founded to change that. We are building an AI platform that makes it easier for teams to train and serve the best models at scale. RadixArk comes from the open-source community. We started with SGLang, where many of us are core developers and maintainers, and expanded our work to Miles for large-scale RL and post-training. We will continue contributing to both projects and working with the community to make them the strongest open-source infrastructure foundations for frontier AI. We would like to thank our long-term partners, contributors, and the broader SGLang community for believing in this mission. We're also grateful to @Accel and @sparkcapital, NVentures (Venture capital arm of @nvidia), Salience Capital, A&E Investment, @HOFCapital, @walden_catalyst, @AMD, LDVP, WTT Fubon Family, @MediaTek, Vocal Ventures, @Sky9Capital and our angel investors @ibab, @LipBuTan1, Hock Tan, @johnschulman2, @soumithchintala, @lilianweng, @oliveur, @Thom_Wolf, @LiamFedus, @robertnishihara, @ericzelikman, @OfficialLoganK, and @multiply_matrix among others. Thanks for the exclusive interview with @MeghanBobrowsky at @WSJ about our vision.