Crow Intelligence

Human cognition is remarkable. Language is its most visible trace — in texts, speeches, narratives, and the metaphors societies use to make sense of the world.

At Crow Intelligence, we study that trace. We use computational methods and cognitive science to understand how language shapes thought, how narratives drive decisions, and how technology is transforming both.

We believe in open inquiry, rigorous method, and the value of understanding ourselves more clearly.

Meet Our Team

Zoltán Varjú

Zoltán Varjú

AI Strategist & Entrepreneur. Two decades of experience in natural language processing, AI, and data analytics. Serial co-founder and startup advisor.

Orsolya Putz, PhD

Orsolya Putz, PhD

Cognitive Scientist & AI Engineer. PhD in Cognitive Linguistics. Adjunct Professor at the Technical University of Budapest (BME).

Open Source

chronowords

v0.2.0 · MIT · Python 3.10+

Detect semantic shifts over time in text corpora. Memory-efficient PPMI-based word embeddings via Count-Min Sketch, NMF topic modeling, and Procrustes alignment for tracking how word meanings evolve across time periods.

kenon

v0.1.0 · MIT · Python 3.11+

Construct semantic and co-occurrence networks from text using corpus-internal statistics. Lightweight graph construction through spaCy tokenization, skip-gram windows, and network backbone extraction — no neural models or external training data required.

What We Do

We conduct original research and take on analysis commissions for organisations that need deep expertise in language, cognition, and data.

We do not build software. We help you think clearly about what to build, whether it is working, and what it means — so that whoever builds it can do so faster and better.

If your organisation is working on a problem that involves text, language, narrative, or the behaviour of AI systems, we would like to hear from you.

hello@crowintelligence.org

Collaborators & Partners

We have worked with organisations across green finance, pharma intelligence, investigative journalism, linguistics, cognitive neuroscience, and public transparency.