News

We've published version 1.3 of our foundational paper, "Neuro-Semiotic Reasoning: Computational Semiosis for Observational Causal Inference."

The core contribution: Introducing Behavioral Signals as a different unit of computation. LLMs see tokens—text fragments stripped of time and context. o-machine sees behavioral signals—hiring, partnering, facility expansions, absent events—anchored in time and modality-independent (extracted from text, satellite imagery, sensors, transactions).

This isn't an incremental improvement to existing architectures. It's a different foundation for reasoning about what's happening in reality before it becomes a document.

Download the paper or read more about our approach on the research blog.

We're opening signups for our closed beta, launching in Q2 2026.

We're inviting 20 early users to help shape o-machine. If you're a private market investor or autonomous driving industry professional who needs to understand causation—not just correlation—we'd love to hear from you.

Request beta access and share your use case. We'll be in touch if it's a good fit.

We're heading to Mountain View for NVIDIA GTC and staying through the entire month of March to meet investors and teams building at the frontier of AI reasoning.

What we're building: o-machine shows you how things actually connect — and proves it. We discover hidden actors and relationships, trace causal chains, and explain why things happen. Every connection backed by evidence.

Our current focus is private market intelligence: know about private companies before anyone else. We reason about what didn't happen (absence detection), track velocity of change, and discover hidden relationships that statistical models can't see.

The core difference: Statistical AI optimizes for correlation. o-machine optimizes for causation. Different architecture. Different capabilities. Different results.

Our paper on the underlying neuro-semiotic architecture will be available on Arxiv in early March.

Connect with us: If you're working on reasoning infrastructure, private markets intelligence, supply chain, or defense — or investing in teams that are — we'd love to talk. Reach out to our co-founder Martin on LinkedIn or email hello@o-machine.com.

We're submitting our first research paper to Arxiv: "Neuro-Semiotic Reasoning: Computational Semiosis for Observational Causal Inference."

The paper formalizes the architecture behind o-machine: how causal meaning emerges through recursive interpretation of differential relationships across temporal, spatial, conceptual, and absence dimensions.

The core insight: Statistical AI optimizes for correlation (what appears together). o-machine optimizes for causation (what relationships mean). This enables capabilities structurally impossible in LLMs: reasoning about what didn't happen, tracking velocity of change, discovering entities through behavioral patterns, and building complete audit trails for every inference.

This is the first of several papers we're releasing this year. We're building in public and sharing our research as we go.

The paper will be available on Arxiv in early March. Follow Martin on LinkedIn for updates.

We're heading to Mountain View for NVIDIA GTC and staying through the entire month of March to meet investors and teams building at the frontier of AI reasoning.

What we're building: o-machine shows you how things actually connect — and proves it. We discover hidden actors and relationships, trace causal chains, and explain why things happen. Every connection backed by evidence.

Our current focus is private market intelligence: know about private companies before anyone else. We reason about what didn't happen (absence detection), track velocity of change, and discover hidden relationships that statistical models can't see.

The core difference: Statistical AI optimizes for correlation. o-machine optimizes for causation. Different architecture. Different capabilities. Different results.

Our paper on the underlying neuro-semiotic architecture will be available on Arxiv in early March.

Connect with us: If you're working on reasoning infrastructure, private markets intelligence, supply chain, or defense — or investing in teams that are — we'd love to talk. Reach out to our co-founder Martin on LinkedIn or email hello@o-machine.com.

We're excited to announce that o-machine will be attending the World Economic Forum in Davos, Switzerland for Promenade events from January 19-23, 2026.

If you're attending and would like to connect, reach out to our co-founders Irina or Martin on LinkedIn.