
R2 Mechanics was founded by David Liam Thiry with the vision of creating a fully offline, transparent, and sustainable AI system for the analysis and preservation of complex audio and video materials. Built for archives, research institutions, and cultural organizations, the platform combines GPU-accelerated processing with a philosophy of data sovereignty, reproducibility, and long-term reliability.
With more than 30 years of hands-on experience in audio engineering, electronics, and system design, David has always approached technology as something to be built, tested, and refined in practice — not merely theorized.
Decades of practical engineering experience form the foundation of R2 Mechanics — combining craftsmanship, sustainability, and modern AI infrastructure.
Across several independent ventures, he explored automation, energy systems, and sustainable infrastructure, gradually merging these disciplines into a coherent philosophy of autonomous technology. R2 Mechanics represents the synthesis of this accumulated knowledge — uniting practical engineering, scientific analysis, and ethical design within one framework.
Before founding R2 Mechanics, David developed self-sufficient environmental and automation systems that adapted principles of balance, heat, and regeneration to northern living conditions.
These projects bridged natural process understanding with modern engineering, refining his belief that true innovation must remain maintainable, measurable, and energy-aware. This same principle now defines the hardware and architecture behind R2 Mechanics.
The platform integrates speech recognition, speaker diarization, semantic analysis, and entity mapping into a reproducible, audit-ready workflow — fully GPU-accelerated, powered by renewable energy, and operated entirely offline.
Each output — from structured transcripts to interactive HTML archives — is verifiable, transparent, and designed for long-term preservation.
R2 Mechanics is more than a technology — it is a philosophy of responsible intelligence: building systems that preserve knowledge rather than depend on the cloud.