NYRVEN combines research rigor with engineering execution. Our platform NyvLearn serves universities with hallucination-resistant AI — because reliability is not a feature, it is the foundation.
Academic RAG Platform
A multi-tenant platform that serves students with verified, citation-backed answers. Built on a 3-agent pipeline that retrieves, re-ranks, and validates every response before it reaches the user.
Too many AI systems are deployed without rigorous validation. NyvLearn brings structure, repeatability, and confidence to academic research assistance — making reliability measurable, not assumed.
What are the key factors driving climate change and how do they interact with ocean circulation systems?
Overview: Anthropogenic greenhouse gas emissions are the primary driver, with CO₂ and methane leading radiative forcing [1].
Mechanism: Thermohaline circulation is sensitive to temperature and salinity changes, with Atlantic Meridional Overturning showing measurable decline [2].
We operate at the intersection of AI research, applied machine learning, and software engineering.
Applied AI research with engineering rigor — from hypothesis to deployable prototype.
End-to-end development of AI-powered applications built for reliability.
Structured frameworks for benchmarking and validating AI model outputs.
Scalable pipelines for data ingestion, training, inference, and monitoring.
Technical product development from concept to launch with research-grade thinking.
Exploratory research partnerships for technically ambitious problems.
Peer-reviewed research on the intersection of agentic AI, software systems, and regulatory frameworks.
An analysis of how agentic AI evolution is outpacing existing legal and regulatory frameworks.
Marcel Osmond & Thomas Jego (February 2026) · DOI: 10.5281/ZENODO.18777745
Read on ZenodoReproducibility and critical analysis of manifold-constrained hyper-connections in deep learning.
Thomas Jego (March 2026) · DOI: 10.5281/ZENODO.18852696
Read on ZenodoRegulatory challenges and liability frameworks for high-capability agentic AI systems.
Marcel Osmond (March 2026) · DOI: 10.5281/zenodo.18828311
Read on ZenodoDeep technical scoping to build the right system, not just a working one.
Architecture for long-term maintainability — modular, testable, evolvable.
Rigorous implementation with continuous validation against real-world conditions.
Production delivery with structured feedback loops and performance monitoring.
Let's design it properly. Whether it's a research collaboration, a product demo, or a technical partnership — we're ready to engage.