Core Research
Graph of Models
A brain-inspired architecture that learns continuously, reasons adaptively, and scales linearly. A working post-transformer model — same hardware, fundamentally different shape. Grounded in 35 foundational papers, protected by 25 patent filings.
Applied AI
Purpose-built engines
Edge Brain
On-device reasoning at iPhone-class compute. 112 MB bundle, sub-2W inference, 1,000+ tok/s.
Inference Computer
A small brain plugin that drops onto any frozen LLM. Adds reasoning, memory, and tool-use without retraining the base model. ~3% parameter overhead.
Drone Brain
Full autonomy for GPS-denied and contested environments. Edge deployment under strict power and weight budgets.
Prediction Engine
Temporal pattern recognition across complex systems
Ingestion Engine
Autonomous data processing at any scale or format
Diligence Engine
Automated analysis for high-stakes decision making
Defense & National Security
Built for contested environments.
Classified Programs
Active projects with the Department of Defense. Autonomous systems, edge deployment, and real-time decision support for mission-critical environments.
Validated Results
Numbers, not narratives.
O(N)
Memory Scaling
100%
Hanoi · 8 / 9 / 10-Disk OOD
79.3%
11-Disk Hanoi · Frontier LLMs: 0/20
50,000×
Parameter Efficiency vs GPT-4
The architecture LeCun says the industry needs. Shipping today.
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