ArcellAI

Data layer for health. We’re building the agentic context layer for techbio + deep tech. We’re starting with the AI data scientist for precision medicine.

[ArcellAI @ArcellAI]

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.

[the residency @theresidency]

shoutout @avelezarce - thanks for showing the world research can be done outside of academia

[Year Zero @YearZeroVC]

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!

[ArcellAI @ArcellAI]

@agupta @JTLonsdale Wrong @agupta . Academia has proven to a terrible partner especially if you add national security considerations. Invest via agencies like ARPA-H and DARPA directly in innovative USA industry projects and companies. @JTLonsdale & co. have discussed both points.

[ArcellAI @ArcellAI]

@LajmiRihab @ycombinator @t_blom @kul 🚀🚀🚀

[Palantir @PalantirTech]

Palantir embraces the neurodivergent.

Join us.

[ArcellAI @ArcellAI]

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.

[Year Zero @YearZeroVC]

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:

https://t.co/5ZWI2go2Au

[ArcellAI @ArcellAI]

the operating system powering the next generation of precision medicine https://t.co/IyUV3Aw1vx

[ArcellAI @ArcellAI]

Biomedicine Just Became Executable. ArcellAI Built the Runtime.
We are building the Operating System Powering the Next Generation of Precision Medicine
https://t.co/o1i1rAlge4

[ArcellAI @ArcellAI]

@clickup has outsourced their entire customer support and they’ve become a completely useless function. Do not use them if agentic capabilities are the selling point for you.

[ArcellAI @ArcellAI]

@NTFabiano Does this also apply to compliments? It will shape your identity? You will embody those compliments eventually? @NTFabiano

[ArcellAI @ArcellAI]

https://t.co/XZnuBNOmMz

[Chad Wahlquist @chadwahl]

So much pain in this world is by the right intent but the wrong incentives that actually drive the opposite behaviors of your intent

[ArcellAI @ArcellAI]

@guilleflorvs @snowmaker has been saying this for years

[ArcellAI @ArcellAI]

@beffjezos Russia, not China, is backing violence against Altman to weaken our national security. China engages in stealing IP.

[ArcellAI @ArcellAI]

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

[ArcellAI @ArcellAI]

https://t.co/1b9UBncdA5

[ArcellAI @ArcellAI]

https://t.co/1b9UBncdA5

[ArcellAI @ArcellAI]

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.

[ArcellAI @ArcellAI]

@DanielDiMartino When a system is funded independently of the value it produces, prices can rise without improvement. Hi from @avelezarce @DanielDiMartino https://t.co/96E9LLi1hY

[ArcellAI @ArcellAI]

@DanielDiMartino When a system is funded independently of the value it produces, prices can rise without improvement. Hi from @avelezarce @DanielDiMartino https://t.co/96E9LLi1hY

[ArcellAI @ArcellAI]

let's goooo

[ArcellAI @ArcellAI]

hey @AstasiaMyers @avelezarce here.

your view on devtools starting with extreme single-player value + scaling to org-wide systems feels spot on, especially in complex AI infra.

we’re building the agent-native context + execution layer for deploying AI in fragmented, multimodal systems (techbio, healthcare, engineering). not a copilot, the underlying infra that makes these systems actually work in production.

we have early design partners with path to $200k+ ARR.

curious if this resonates, worth a quick chat?

deck: https://t.co/1LOIIJGOyC
memo: https://t.co/vlKQu0xW0D
[email protected]