ReasonOS Research Labs

Not a singularity.
Billions of singulars.

Whether you are building software, infrastructure or AI models, our goal is to enable that future. It is the only way to preserve humanity.

AI has to be personal. Not one model for everyone, but AI shaped by, and for, each person and each company that uses it. Our research starts there: beyond the transformer, from the mathematics up, with the infrastructure to try it.

Explore our research Collaborate with us

research

Talks, writing and results.

Newest first. Nothing here is planned; all of it happened.

writingFeb 18, 2026The often-overlooked challenge of infrastructure management when scaling from zeroWhy the systems under a research lab have to be flexible and cost-efficient at the same time, and what it costs you if they are not.writingFeb 16, 2026AI will replace programmers — but not engineersThe distinction that survives agent-rate code generation: programming is producing the change; engineering is knowing it is right.talkNov 6, 2025The ReasonOS Rationale: what does a moat look like in an AI-native world?With the Smart Venture Podcast in San Francisco: the argument for building the layer AI-native software runs on.

active programs

Where the work is happening.

Mathematical foundations

Frameworks beyond transformer architectures: topological data analysis and algebraic geometry applied to neural computation.

Next-gen architectures

Building and testing non-transformer architectures that challenge the assumption that scale is the only path forward.

HPC infrastructure

High-performance computing that makes serious research accessible to independent researchers and startups.

Open research

Published findings, open-sourced tools, and compute for people outside corporate walls.

our philosophy

Why we think differently about AI.

Large language models made a huge leap, but we see an LLM as the interface of AI. A powerful interface, not the end goal.

The next major step will come from non-transformer architectures: new mathematical foundations, not only more scale.

We build tools that enable unreasonable ideas, funded or not. The next leap will come from people outside big tech.

We start from the mathematics behind it all, and build the infrastructure needed to explore from there.

the team

Who is doing the work.

Vamsi Pandari

Founder

Leads the platform the research runs on: the rbs build system, branch nodes, and the compute every experiment schedules onto.

Background in AI infrastructure and high-performance computing.

Dr. Ehsan Ardjmand

AI Researcher

Leads the mathematical foundations work: the search for frameworks beyond the transformer, starting from the mathematics itself.

PhD; mathematician and AI researcher.

collaborate with us

Compute, funding and partnerships.

Tell us who you are, what you are working on, and what you need. We answer every one.

Start the conversation See open roles