Very excited to say @ArcellAI was represented at the proceedings for @icmlconf alongside @calculuslab @theresidency . A big thanks to co-author @marinkazitnik , core contributor Jesus Caraballo (also The founding engineer of ArcellAI), @ProjectTDC team, and many more.

A huge thanks to @Pioneers21EP for establishing this collaboration with @NSF I-Corps Impact Launch and supporting us through the application process and helping us build our business via @MITVMS !!

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Congrats to @SpaceX for the IPO! And congrats to us for being accepted to @NSF I-Corps today! A historic day!!!

We’re joining @govclab ‘s accelerator! We will leverage fully automated fund formation, agentic AI infrastructure, and systematic capital flow in order to underwrite the tech stack of the next century!

Palantir embraces the neurodivergent. Join us.

Founder @avelezarce will be in ATX next week for @CapitalFactory 's @healthsupernova. Their premiere healthcare event! @DrLuisEMartinez and Drew Yashar manage the practice and we're excited to connect. All - please reach out if you'd like to discuss the furture of AI for science and engineering.

An official statement as to what Year Zero means and what we stand for in our work against the delayed future and catalyzing breakthroughs at the input layer of technology: yearzero.vc/statement

the operating system powering the next generation of precision medicine linkedin.com/pulse/operating…

Biomedicine Just Became Executable. ArcellAI Built the Runtime. We are building the Operating System Powering the Next Generation of Precision Medicine open.substack.com/pub/alexve…

BioAI is failing because biology still lacks a computable state layer. We just published a new essay on a belief that sits at the center of ArcellAI: We learned how to program computers. We never learned how to program biology. We have models. We have data. We have tools. What we still do not have is a system that makes biological and clinical reality explicit, structured, and computable. That missing layer is why AI still breaks across real scientific and clinical workflows. This piece is about that gap, and about the future unlocked once biology has the equivalent of a true state layer: - research systems that continuously integrate new data - clinical systems that adapt to evolving patient state - biological engineering that becomes increasingly programmable If we get this right, biological engineering starts to move less like the world of atoms and more like the world of bits. The rate of innovation in biology and medicine begins to resemble software. That is the direction we’re building toward at ArcellAI. #AI #TechBio #Biotech #ClinicalResearch #ClinicalAI

Technical education is undergoing structural change. Universities, online programs, and corporate training each solve part of the problem, but none fully align incentives with real-world impact. In this article, we discuss why company-built education may be the next model.

When a system is funded independently of the value it produces, prices can rise without improvement. Hi from @avelezarce @DanielDiMartino linkedin.com/pulse/collapse-…

let's goooo

Bridging the gap between information technology (IT) and operational technology (OT) requires a lot more than a data lake and an LLM...