
Riley Loftus
168 posts

Riley Loftus
@Rileyjloftus
Investing in the Freedom Stack @Harpoonventures Pirating around @BlackFlagVC Interstellar enthusiast


NEW: Kid gives a blunt answer after a CNN reporter asked him why he was excited about the Artemis II launch. Reporter: "Why do you want to be here? Why do you love space? Why do you love being a part of history?" Kid: "We're going back to the freakin' moon, that's why!"




AI didn’t just enter biology. It’s starting to rebuild it from first principles. @MichaBreakstone sold his last company for $575M. Then he went after a harder problem. What if you could model how cells signal, respond, and adapt… before you ever run an experiment? Not static biology. A virtual, dynamic system. That’s the idea behind @CellularIntelHQ | formerly @SomiteAi. A team pulled from @Harvard and @MIT. $62M raised from @khoslaventures and the @ChanZuckerberg. The goal: simulate cell behavior well enough to design drugs upstream of the lab. On May 5th at 8:50 AM, Micha sits down for a fireside chat at @SynBioBeta. Because if this works, the bottleneck in drug discovery doesn’t just shrink. It moves. Get your tickets here: syntheticbiologysummit.com/?utm_source=Li…











@encord_team just raised $60M Series C led by Wellington Management. $110M total funding to power AI in the physical world. We started in 2021 at my co-founder's parents' dining table during YC, cold outbound by day, hacking by night. Back then everyone was chasing bigger models. We bet that for teams deploying AI in the real world, the differentiator wouldn't be the model. It would be the data behind it. That thesis is now reality. The industry shifted from 'who has the biggest model' to 'who has the right data.' Performance gains now live in post-training, fine-tuning, and evals, and they all start in the data layer. 300+ of the world's top AI teams use Encord today. The next frontier is physical AI. Autonomous vehicles, robotics, embodied intelligence. These systems can't afford to hallucinate. They don't just need more data, they need multimodal, petabyte-scale infra to bridge raw data to production AI. Physical AI is our fastest-growing segment and where we're going all in. To our customers, to Eric and the Encord team across SF and London: we've come a long way from the SoCal dining table. We’re building the data foundation for AI in the real world. We’re just getting started. @Wellington_Mgmt @ycombinator @crane_vc @brpxcapital @HarpoonVentures @CRV @N47capital @isomercapital @scott_sage @LarsenJensenUSA @tjrylander









