Model CompressionWithout Compromise
Ensemble shrinks any AI model to be lower cost and lower latency — without sacrificing accuracy.
Smaller Models - No Tradeoffs
Our Model Shrinking Platform allows you cut training & inference costs without sacrificing performance. Upload any custom or open-source model and immediately get back a smaller, faster version with no accuracy loss.
Model Shrinking as a Service
Drop in any model in popular formats like ONNX, PyTorch, or TensorFlow and get a compressed version ready for deployment in minutes.
Work on Any Modality
Our platform is compatible with any model and any data modality — LLMs, vision, speech, or multimodal.
Uncompromised Performance
Unlike other compression methods, our approach maintains or even improves model accuracy while reducing size and latency.
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