A platform that takes a trained model (PyTorch/TF/HuggingFace) and automatically compiles, deploys, and benchmarks it across every major inference engine, surfacing latency, throughput, and cost per token on the user's target hardware. Teams get a single API endpoint that routes traffic to the winning runtime and can hot-swap engines as workloads or GPUs change, without rewriting serving code.

The explosion of LLM-serving stacks (vLLM, SGLang, TensorRT-LLM) in the last 18 months has fragmented inference tooling, and even hyperscalers like Perplexity, Coreweave, Nebius, and Waymo are now hiring specifically for cross-framework inference expertise.