Union.ai

Provides an AI runtime for building, orchestrating, and serving durable AI/ML workflows, model training and fine-tuning, and real-time inference while managing compute resources. It is for developers, data teams, and operations teams in mid-market to enterprise companies across industries such as biotech, geospatial, autonomous systems, and financial services. It runs inside the customer's own cloud with zero-trust security so data and models never leave their perimeter, offered as a managed platform built on open-source Flyte.

Key features

• Build durable AI workflows
• Orchestrate compute resources
• Serve models with real-time inference
• Train and fine-tune models
• Dynamic branching, loops, error-handling
• Automatic failure recovery and caching
• Workflow versioning and reproducibility
• Scale to 50k+ actions per run
• <100ms task startup time
• On-demand resource provisioning
• Cost and usage allocation dashboards
• Discoverable logs and failure debugging
• Author workflows in pure Python
• Integrations with Spark, Ray, Dask, PyTorch
• Zero-trust security architecture
• Runs in customer's own cloud