A platform that packages trained models (including LLMs and multimodal models) into deployable, observable, autoscaling API endpoints with built-in throughput optimization and workflow embedding. It provides connectors to embed models into real-time applications, plus pipelines for training infrastructure and LLM serving, reducing the need for bespoke MLOps headcount.

The explosion of applied GenAI and multimodal models across enterprise products has created a bottleneck: companies are actively hiring backend, MLOps, and infrastructure engineers specifically to productionize research models into real-world systems.