AI memory is sold out. HBM prices surged 246% in 2025. DRAM is up 50-55% this quarter alone. NVIDIA is cutting GPU production 30-40% because there isn't enough memory to build them. Every factory is at capacity. The shortage extends through 2026 and beyond.
The industry's answer is to build more memory factories. Ours is to need dramatically less memory.
The gap between demand (+35%) and supply (+23%) is widening. Building new fabs takes 3-4 years. The memory crisis is structural, not cyclical.
Our architecture is the fastest way to close that gap. Not by making more memory - by making AI need dramatically less of it.
A proprietary model architecture that compresses AI models by 25-60x while preserving quality on standard benchmarks. The compression is structural, not a post-processing step. The architecture is designed from the ground up to be compact.
GPU / accelerator companies. Your customers can't get enough memory. Our architecture lets them run larger models on your existing hardware. License our compression layer - your chips serve 25x more customers.
Cloud providers. Multi-tenant AI serving is memory-bound. 100 domain specialists need 1,400 GB on standard architecture. On ours: 1.3 GB. Same GPU serves 1000x more tenants.
Device manufacturers. Smartphones, wearables, edge appliances. A 7B model that fits in 200 MB (INT4) runs on hardware designed for 1B models. Your next product ships with 7B intelligence.
Analog / in-memory compute startups. Your chip's crossbar arrays are too few for standard transformers. Our architecture significantly reduces array requirements. Circuit-level simulation available for evaluation.
IP licensing. We license the architecture. You integrate into your platform, SDK, or silicon. Recurring royalty. We provide reference implementations, pre-trained models, and integration support.
Joint development. We co-design compressed models optimized for your specific hardware. Your silicon expertise, our compression architecture. Shared IP on the joint work.
Evaluation. We provide a technical evaluation package - pre-trained models, benchmark results, integration guide. You validate on your hardware before committing. No risk.
We're looking for hardware companies, cloud providers, and device manufacturers who want to ship AI products without waiting for the memory supply chain to catch up.
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