All Platforms
The cloud-native Ascend Unified Data Engineering Platform removes the traditional burdens of data pipelines — automating their creation, operation, and optimisation so teams can focus on delivering value rather than managing infrastructure.
Makes it easy to define and ingest data for every ML use case — delivering insightful, actionable anomaly tracking and making your model performance monitoring deployment scalable and reliable across production AI systems.
A Kubernetes-based GPU workload orchestration platform that helps organisations manage GPU resource allocation and increase cluster utilisation — pooling GPUs across data centres, cloud, and edge for distributed AI training and inference.
The enterprise feature store for machine learning — build ML features using batch, streaming, and real-time data, then deploy them to production instantly. Tecton abstracts feature engineering from model training and serving pipelines.
The enterprise command centre for all AI — orchestrates and automates the operationalisation of models throughout their lifecycle, enforcing governance, policy and compliance across all model types including LLMs and traditional ML.
The advanced enterprise Automated Machine Learning Platform — integrates enterprise data systems to collect, analyse, and capture actionable insights with AI-driven analytics across retail, banking, telecoms, and healthcare verticals.