The training and post-training infrastructure designed from the ground up for domain-specific enterprise models.
Incorporate enterprise feedback loops, direct preference optimization (DPO), and custom RLHF directly into model checkpoints.
Sub-millisecond inference speeds powered by vLLM, custom CUDA kernels, and hardware-accelerated quantization.
Train and serve models inside air-gapped enclaves with guaranteed zero data leakage to public frontiers.