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Products/EigenWeights
Inference optimization

Inference. Accelerated.

EigenWeights simplifies transformer MLP layers to speed up inference while maintaining capacity.

30%faster

EigenWeights

MLP layers represent a significant portion of compute in transformers. EigenWeights finds more efficient representations that accelerate inference without retraining.

1

30% Faster

Significantly reduces inference latency.

2

Plug & Play

Direct replacement compatible with standard transformer architectures.

3

No Retraining

Applicable to existing pre-trained models.

Live Demo

See It Work

Real compression on real data. Try with our demo or upload your own embeddings.

Real product. Test it right now. No smoke and mirrors.

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

Applications

Use Cases

1

High-frequency APIs

2

On-premise models

3

Real-time applications

Benchmarks

Real Numbers

Validated on production data. No cherry-picking.

EigenWeights Performance

Model Size
70B
8.7B
Inference Speed
3.2x
Accuracy Retention
97.5%
Head-to-Head

EigenDB vs. The Competition

Real benchmarks on 384-dimensional embeddings (sentence-transformers)

24x
Compression
384D → 16D
100%
Recall@10
Zero precision loss
96%
Cost Savings
$600 → $24/mes
MetricFAISSVerifiedChromaVerifiedElasticsearchVerifiedWeaviateVerifiedPineconeEigenDBVerified
Compression1x1x1x1x1x24xWinner
Recall@10100%100%100%100%95%+100%
Storage Cost100%100%100%100%100%4%
Search Latency1.39ms0.56ms5.86ms1.09ms26-60ms0.04ms
Index Build0.16ms40.5ms861ms1298msmanaged0.019ms

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.

Beyond Products

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.