Inference. Accelerated.
EigenWeights simplifies transformer MLP layers to speed up inference while maintaining capacity.
EigenWeights
MLP layers represent a significant portion of compute in transformers. EigenWeights finds more efficient representations that accelerate inference without retraining.
30% Faster
Significantly reduces inference latency.
Plug & Play
Direct replacement compatible with standard transformer architectures.
No Retraining
Applicable to existing pre-trained models.
See It Work
Real compression on real data. Try with our demo or upload your own embeddings.
Demo Note: This demo uses EigenDB vector compression technology. The results shown are specific to vector embedding compression. For model weight compression, the principles are similar but applied to different data structures.
Click to analyze 1,000 random embeddings and see compression results
Use Cases
High-frequency APIs
On-premise models
Real-time applications
Real Numbers
Validated on production data. No cherry-picking.
EigenWeights Performance
EigenDB vs. The Competition
Real benchmarks on 384-dimensional embeddings (sentence-transformers)
| Metric | FAISSVerified | ChromaVerified | ElasticsearchVerified | WeaviateVerified | Pinecone | EigenDBVerified |
|---|---|---|---|---|---|---|
| Compression | 1x | 1x | 1x | 1x | 1x | 24xWinner |
| Recall@10 | 100% | 100% | 100% | 100% | 95%+ | 100% |
| Storage Cost | 100% | 100% | 100% | 100% | 100% | 4% |
| Search Latency | 1.39ms | 0.56ms | 5.86ms | 1.09ms | 26-60ms | 0.04ms |
| Index Build | 0.16ms | 40.5ms | 861ms | 1298ms | managed | 0.019ms |
Dataset: 500 embeddings, 384D (sentence-transformers/all-MiniLM-L12-v2). Benchmarks run on local hardware.
FAISS, Chroma, Elasticsearch, Weaviate: our benchmarks. Pinecone: official documentation data.
They don't compress. We do.
All competitors store 100% of dimensions. EigenDB compresses 24x while maintaining 100% recall. Less data = lower cost = same quality.

Fundamental Research
While our products solve immediate problems, our research aims further
Neural Ontology
Validated with real data: EEG, mouse neurons, human cognition
26/27 Tests Passed
Fundamental cognition principles verified experimentally
KAIROS Framework
Emergent intelligence from first principles
“We don't just build tools. We're redefining how intelligence emerges.”