Language Models
Our proprietary compression technology makes AI substantially smaller with measured quality retained, validated across language, vision, genomics, protein, and diffusion. This is research: our compressed models are not what powers our products today. Talk to us to evaluate them, or to compress your own.
Research
Compressed versions of popular open-weights models: same APIs, smaller footprints, lower infrastructure costs. Under evaluation, not yet shipping in our products. The measurements that go against us are published alongside the ones that do not.
Alibaba's Qwen family compressed to run on edge devices and modest GPU instances, with quality measured and reported.
Meta's Llama compressed to reduce memory and compute substantially, evaluated across our standard benchmark set.
BAAI's BGE embedding model compressed for fast, low-cost semantic search and RAG pipelines.
How it works
Share your fine-tuned or custom LLM via secure transfer.
Our proprietary architecture compresses models substantially while retaining measured quality across your use case.
Receive your compressed model with benchmarks showing the quality-size trade-off.
Same model, fraction of the compute. Deploy on-premise, on-device, or in your existing cloud.
Enterprise Service
Have a custom or fine-tuned LLM? We compress it for you. Submit your model, we return a compressed version that costs dramatically less to run while preserving the quality you've trained for.
Whether you're building a product, running an enterprise, or researching on constrained hardware, let's talk.
Get in Touch