Smaller models.
Bigger ambitions.

Our proprietary compression technology makes AI upto 60x smaller without sacrificing quality — validated across language, vision, genomics, protein, and diffusion. Available as drop-in open-weights models or as a bespoke enterprise service.

Compressed Open-Weights Models

Drop-in compressed versions of popular open-weights models. Same APIs, smaller footprints, drastically lower infrastructure costs.

Language Model

Qwen (Compressed)

Alibaba's Qwen family compressed to run on edge devices and modest GPU instances without quality compromise.

Language Model

Llama (Compressed)

Meta's Llama compressed for production deployment at scale — reducing memory and compute by up to 60×.

Embedding Model

BGE (Compressed)

BAAI's BGE embedding model compressed for fast, low-cost semantic search and RAG pipelines.

How it works

01

Send us your model

Share your fine-tuned or custom LLM via secure transfer.

02

We compress it

Our proprietary architecture compresses by upto 60x while preserving quality across your use case.

03

You get it back

Receive your compressed model with benchmarks showing the quality-size trade-off.

04

Deploy anywhere

Same model, fraction of the compute. Deploy on-premise, on-device, or in your existing cloud.

Compression 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.

  • Works with any Transformer-based architecture
  • Quality benchmarks included with every delivery
  • Supports regulated environments — data never leaves your agreement
  • Handles text, vision, embedding, and multimodal models
Talk to us about your model

Ready to deploy AI that fits?

Whether you're building a product, running an enterprise, or researching on constrained hardware — let's talk.

Get in Touch