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RESEARCH

infrastructure.

iFrame OS is built on original research in GPU systems, memory architecture, and large-scale inference. Our work isn’t theoretical — it ships in production.

OUR MODELS

original architecture.

Sefirot-10

Monoidal Framework Architecture

A novel AI model built on our Monoidal Framework — a mathematically grounded architecture for structured reasoning. Sefirot-10 combines deep inference capability with real-time internet search.

Available for inference at sefirot.ai

Try Sefirot

Asperanto

Foundation Model

Our foundational language model, designed to demonstrate the performance advantages of iFrame OS infrastructure. Asperanto showcases what’s possible when the model layer and the infrastructure layer are co-designed from the ground up.

PATENT-PENDING

technology.

Traditional AI models have a fixed context window — a limit on how much data they can process in a single pass. Our patent-pending infinite context technology removes that limit entirely.

How it differs from RAG

Retrieval-Augmented Generation adds an external search step that introduces latency and information loss. Our approach extends the model’s native context at the infrastructure level — no retrieval step, no chunking, no approximation. The model sees everything in a single pass.

How it differs from sliding window attention

Sliding window approaches truncate context beyond a fixed range, losing long-range dependencies. Our NVMe-buffered memory architecture maintains the full attention matrix across the entire input, regardless of length. Context is never discarded.

What this enables

Enterprise document processing, full-codebase analysis, multi-modal reasoning across entire datasets, and any use case where truncating input means losing critical information. Tested on inputs exceeding one billion tokens.

Patent filed and registered, late 2025.

PUBLICATIONS

and academic work.

"Generative AI" Textbook

Co-authored by Vlad Panin with Natalia Shakhovska (Rector of Lviv Polytechnic), Solomiia Liaskovska, and Iryna Dymun. Recommended by the Ministry of Education for PhD computer science students.

University Curriculum

LLM course developed by Vlad Panin is part of the curriculum at Lviv Polytechnic National University and other universities in Western Europe and Asia.

Conference Keynotes

Regularly invited as a keynote speaker at academic conferences worldwide, covering AI infrastructure, GPU optimization, and the future of compute.

Forbes Business Council

Published articles on AI infrastructure, GPU economics, and enterprise technology strategy through Forbes Business Council.

LEARN MORE

about our research?

We publish, we patent, and we ship. Talk to our team about the technology behind iFrame OS.

Contact Our Research Team

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