Aga Kopytko

Co-Founder

Poland20 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Founder of innovative AI company Smabbler
Expert in Hypergraph Language Models for AI
Over 10 years of experience in NLP and graph reasoning

Stackforce AI infers this person is a leader in AI development with a focus on NLP and graph-based reasoning.

Contact

akopytko@smabbler.com LinkedIn

Skills

Core Skills

Natural Language Processing (nlp)Artificial Intelligence (ai)Knowledge ManagementProject Management

Other Skills

AutomationBusiness DevelopmentBusiness StrategyComputer ScienceData AnalyticsData ScienceGraph TheoryKnowledge EngineeringKnowledge GraphsLinguisticsMachine LearningMathematicsOntologiesProduct DevelopmentResearch and Development (R&D)

About

Founder & CTO at Smabbler | Building Galaxia - the first Hypergraph Language Model (HLM) for deterministic, trustworthy AI memory & reasoning. I’m obsessed with how AI can truly understand, remember, and explain - not just predict. Fueled by coffee, curiosity, and a belief that the next leap in AI is structured, auditable knowledge. At Smabbler, I lead development of Galaxia - a Hypergraph Language Model that turns unstructured text into persistent semantic hypergraphs: n-ary relations, full provenance, deterministic reasoning, zero hallucinations by design. CPU-native, scaling to billions of characters, no GPUs - built for AI / agentic systems, regulated domains, and enterprises that need trust at scale. Background: mathematics & computer science, law, Japanese philology. 10+ years deep in NLP, graph reasoning, semantics, symbolism, and cognitive systems. Outside work: digital nomad, planes, cars, diving, climbing, post-apocalyptic & zombie movies. If you’re thinking about persistent memory, agentic reasoning, post-RAG infrastructure, or trustworthy AI - let’s connect. #HypergraphLanguageModel #HLM #SymbolicAI #TrustworthyAI #AgenticAI #ExplainableAI #AI2026

Experience

Smabbler

Founder & CTO

Sep 2020 – Present · 5 yrs 6 mos

My team develops Smabbler Galaxia - an explainable reasoning platform that transforms unstructured data into structured, auditable intelligence.
Galaxia introduces a new class of architecture - the Hypergraph Language Model (HLM) - which performs deterministic, logic-based reasoning rather than probabilistic prediction. It builds an in-memory semantic hypergraph that captures meaning and relationships across entire knowledge bases, enabling persistent context, transparent inference, and compositional understanding at scale.
I combine natural language processing, graph theory, and symbolic reasoning to design an AI system that understands, remembers, and explains. My focus is on automation, transparency, and security - building explainable intelligence that runs efficiently on CPUs, without complex pipelines or retraining.

Natural Language Processing (NLP)Artificial Intelligence (AI)Graph TheorySymbolic ReasoningAutomationTransparency+1

Stealth mode

AI Research Scientist

Nov 2018 – Sep 2020 · 1 yr 10 mos

Working at the intersection of NLP and graphs.

Natural Language Processing (NLP)Graph Theory

4meet

2 roles

Chief Scientist

Promoted

Jan 2014 – Nov 2018 · 4 yrs 10 mos

I was responsible for R&D for natural language processing technologies, combining interdisciplinary fields, in particular, mathematics, computer science, and linguistics. The main research area included the application of the symbolic approach to the creation of multilingual language algorithms. I also worked on the practical application of NLP for automatic knowledge extraction and automation of taxonomy and ontology building.

Natural Language Processing (NLP)MathematicsComputer ScienceLinguistics

Research And Development Specialist

Nov 2012 – Dec 2013 · 1 yr 1 mo

I was responsible for the architecture and development of a knowledge management platform. Additionally, my work included technology research.

Knowledge ManagementTechnology Research

International

Producer

Jan 2005 – Jan 2012 · 7 yrs

I spent several years working with the largest media companies (including Endemol and Freemantle). I started as an assistant director and eventually became a producer. This allowed me to gain experience in planning and managing big projects, keeping timelines, as well as managing teams of 100+ people. It was also the fulfillment of one of my childhood dreams - to learn about television from the inside.

Project ManagementTeam Management