AI Research & Development
Eternal Harmony
Company Overview
We’re an AI research and development company building novel neural architectures, sovereign AI systems, and open-source ML tools — with active research across technical AI, neurodivergence, and public-interest infrastructure.
Our AI Research & Development
Three active research streams, all grounded in real work — not prototypes or pitch decks.
Technical AI Research
Novel neural architectures, sovereign AI systems, and open-source ML tools that run on consumer hardware. Currently experimenting with bio-inspired designs like the Cellular Transformer and hybrid Mamba-2/Attention models.
See Technology →AI & Neurodivergence
Designing and fine-tuning AI systems for neurodivergent users — investigating why neurodivergent people report deeper connections with AI, and building interaction patterns that reduce cognitive load. Publications in preparation.
See Research →Public-Interest Research
Investigating how AI infrastructure impacts communities and the public good. Published: Harmonize Data Centers — 9 deep-dive articles, 100+ verified sources, and a free open framework addressing blocked data center projects.
Explore →GPU-Accelerated Research
GPU infrastructure directly accelerates our research pipeline. With expanded compute access, we’re positioned to:
Model Fine-Tuning
Custom fine-tuning of LLMs for neurodivergent-friendly interaction patterns, domain-specific adaptation, and reasoning enhancement research.
Novel Architecture Training
Training and evaluating bio-inspired neural architectures (Cellular Transformer), hybrid Mamba-2/Attention models, and other experimental designs.
Open-Source Model Evaluation
Systematic benchmarking and contribution to open-source AI projects — bug reports, improvements, and validation against reference implementations.
Inference at Scale
Scaling our multi-backend inference platform for broader model support, higher throughput, and real-world deployment testing.
Everything we build is designed to run on consumer hardware. GPU access lets us train, not just infer.
Select Research Highlights
Published work, open-source contributions, and novel architectures — with more in development.
Hybrid Architecture Contributions
Open Source Contribution7 bugs and 2 improvement suggestions reported to a major open-source Mamba-2/Attention hybrid architecture — with reproduction code, root cause analysis, and fix recommendations.
- ◆7 bugs and 2 suggestions with reproduction code
- ◆Professional HuggingFace Discussion with detailed analysis
- ◆Mathematical proof of correct SSD implementation
- ◆Root cause analysis for each failure mode
Cellular Transformer Architecture
Novel Architecture — In DevelopmentBio-inspired neural network where tiny transformers communicate through a Synapse Bus, specialize via LoRA, and form connections through Hebbian plasticity — cells that fire together wire together.
- ◆Emergent specialization through Hebbian learning
- ◆Long-Term Potentiation for stable memory formation
- ◆Synaptic pruning for efficiency
- ◆Lightweight projection modules for efficient exploration
Harmonize Data Centers
Published Research9 deep-dive articles, 100+ verified sources, and a free open framework addressing the $162B+ in blocked data center projects — from an AI company that believes infrastructure should serve everyone it touches.
- ◆9 deep-dive articles published
- ◆100+ verified sources
- ◆Free, open Community Data Center Standard framework
- ◆5-pillar framework for community-aligned development
What Makes Us Different
Self-Hosting First
Our entire infrastructure runs on consumer hardware. GPU access means we can train — we already know how to deploy efficiently. We prove meaningful AI doesn’t require data center resources.
Open by Default
Bug reports, tools, and findings shared publicly. We believe advancing the field benefits everyone — our contributions to open-source AI projects speak for themselves.
Neurodivergent-First UX
Every system designed for neurodivergent support from the ground up — not an afterthought. Dedicated modules protect hyperfocus, prevent missed follow-ups, and filter noise so users stay in flow.
Ethics as Architecture
Hippocratic License, consent-based interaction, cryptographic journals — our ethics are built into the code, not a policy document.
Open to Collaboration
Our AI R&D scales with compute. We collaborate with cloud providers and research partners to accelerate model training, architecture experimentation, and open-source contributions.
Eternal Harmony
contact@eternalharmony.ai
github.com/eternalharmonyai
eternalharmony.ai