A unified MLOps solution that covers the full lifecycle of machine learning and LLM projects, enabling teams to move from experiments to production with minimal infrastructure overhead.

Core capabilities include one-click training and fine-tuning on CPU/GPU, seamless model deployment (live APIs, batch jobs, streaming/Kafka), prompt management and tracing for LLM workflows, and an integrated model library with optimized open-source models such as Llama 3 and Mistral.

The platform also provides a feature store and vector store for scalable feature engineering and embeddings, real-time observability and anomaly detection with integrations like Slack and PagerDuty, and collaboration and CI/CD tools to help cross-functional teams deliver reliable AI services faster.