Case Study: Dragonfly scales agentic research across 250,000 products with Union.ai

Dragonfly scales agentic research to 2,000 concurrent workflows with Union.ai

Dragonfly, an AI company building an automated solutions architect to help businesses choose software, faced a monumental challenge scaling its agentic research across 250,000+ products. Their initial static orchestration couldn't handle the dynamic, adaptive loops required, creating an unmaintainable risk. They needed an enterprise-grade orchestration platform from Union.ai that could think like an agent but run like reliable infrastructure.

Union.ai implemented its Flyte platform to provide dynamic, Python-native orchestration. The solution delivered intelligent caching to prevent redundant API calls, checkpointing for fault tolerance, and reusable containers to eliminate cold-start overhead. This partnership enabled Dragonfly to scale to 2,000 concurrent production runs, saving 12 hours per week in infrastructure management and cutting failure recovery time by 50%, making their platform possible.

Dragonfly