Union.ai

Founded by Ketan Umare

Run and orchestrate machine learning pipelines and agent workflows inside your own cloud

Pricing model

Free Trial

Rating

★ Unknown

Time to value

Immediate

You can use Union.ai to run and orchestrate machine learning workflows, model training, and autonomous agents directly inside your private cloud. Built on Flyte, it handles distributed computing across GPU clusters without letting your data leave your security perimeter. You can write pipelines in standard Python, manage batch or real-time inference endpoints, and schedule multi-node training runs. If a task crashes due to network errors or out-of-memory faults, the runtime automatically recovers and resumes from the exact failure point without restarting the entire workload.

What Union.ai does

Define multi-node training workflows using Python task environmentsDeploy open-source LLMs behind OpenAI-compatible endpointsConfigure automatic retry policies for infrastructure interruptionsAllocate GPU quotas and priorities across different development teamsMonitor execution logs, latency metrics, and GPU card performanceTrack artifact dependencies and data lineage across experiment runsRuns control plane inside private cloud perimeters without touching payload dataAutomatically recovers and resumes failed tasks without rerunning earlier stepsTracks artifact lineage across multi-node training and evaluation checkpointsEnables writing distributed workflows in plain Python without YAML configurationsSchedules GPU clusters with priority queues, gang scheduling, and backfill protectionServes open-weight LLMs with automatic scale-to-zero and rate management