How AI describes Distill Labs

Distil Labs reduces the cost of AI workloads by up to 80% without sacrificing accuracy by tuning task-specific small language models to match frontier model performance. They do this with a repeatable pipeline—observing real workloads, generating synthetic data, fine-tuning, quantizing, and deploying optimized endpoints—plus ongoing retraining to maintain efficiency. Their offerings enable low-latency, high-throughput AI for consumer apps, voice AI, and document processing, including regulated industries, via dedicated endpoints and scalable throughput.