Our Business Model
Intrafere is a physics-focused technology company with B2B solutions paired with an open source and public research arm.
We build advanced technologies, publish public engineering research, and commercialize specialized systems through licensing and direct IP transfer.
How Intrafere is Structured
Two Connected Arms
Public initiatives create open technologies and publish research in public view.
B2B initiatives deliver focused industrial solutions, training data programs, and physics-led innovation for enterprise customers.
This structure allows us to keep core research transparent while delivering practical, high-value outcomes for industry partners.
Public Initiatives
MOTO Autonomous ASI
Released as an open source MIT-licensed project, MOTO is Intrafere’s autonomous deep research harness for novelty-seeking S.T.E.M. research. It combines parallel multi-model brainstorming with independent validation, feedback, pruning, and tiered paper compilation to explore a research goal for hours or days with no additional creative input required after launch.
MOTO supports local models through LM Studio, cloud models through OpenRouter, and supported desktop OAuth providers. Its optional theorem-generation pipeline formalizes candidate mathematical results in Lean 4 and stores only proofs accepted by the Lean verifier; all informal papers and interpretations still require expert review.
Public Research Pipeline
We publish engineering-first white papers, conference papers, and preprints to share methods, limits, and reproducible findings with the wider community.
B2B Initiatives
Industrial Synthetic ASI Training Data Generation
We broker data from shared training data stores and generate novel data on demand with pricing based on exclusive-rights or shared-rights structures.
When rights are shared, customers pay less and we retain resale rights. When rights are exclusive, customers receive tighter ownership controls.
Domain scope: S.T.E.M. and soft-sciences (including psychology), with custom generation for specialized business objectives.
Hard exclusions: We do not produce entertainment data, computer vision datasets, image generation datasets, or creative-writing style data generation. We do not build “AI slop” training data that makes AI slop tools.
Sales policy: This business is B2B-only. We do not sell this data to Hugging Face or other model trainers.
Physics-Led Freelance Solutions and IP Commercialization
We apply novel physics and mathematical research to enterprise-grade technical problems, inventing technologies and bringing them to market.
Core study areas include measures of Markovanity in hierarchical systems, Markov and non-Markovian mathematical analysis, decoherence, and hierarchical systems with scale differentials.
We usually accept only a small number of contracts. More often, we invent technologies internally and commercialize them through licenses or direct IP sales.
ASI is our first product release and invention.
Public Arm vs. B2B Arm
Both arms share the same research core, but they serve different delivery models and customer needs.
| Public Initiatives | B2B Initiatives | |
|---|---|---|
| Primary objective | Open tools and public research access | ✓ Revenue-generating enterprise solutions |
| Delivery format | GitHub releases, preprints, and community access | ✓ Licensed IP, direct sale, and specialized contracts |
| Training data business | Not offered to public users | ✓ B2B-only industrial synthetic data generation |
| Core technical foundation | Engineering publications and open experimentation | ✓ Physics-led commercialization and applied research transfer |