Learn how Vstorm uses Pydantic AI to power Synera's text-to-workflow agent, converting natural language prompts into complex engineering workflows in minutes.
From text prompts to engineering workflows in minutes
Synera, an AI agent platform for engineering that integrates with popular CAD, CAE and PLM software, built a text-to-workflow Agentic AI system using Pydantic AI that converts natural language prompts into executable workflows, cutting design time from hours to minutes.
“With our current version of text-to-workflow agent, it takes about 2 minutes to write a text prompt and I can create a workflow that would take me up to an hour to put together.”— Andrew Sartorelli, Head of Product Management, Synera
Products Used:
Related case studies
View all case studiesGeneral Intelligence Company (GIC) migrated to Logfire, Pydantic’s AI Observability Platform and Pydantic AI to build a live evaluation system for their autonomous agents. The results? Query performance improved 150x, eliminating rate limits and enabling real-time deviation detection and agent self-correction that was impossible before.
Overjoy replaced LangChain and LangSmith with Pydantic AI and Pydantic Logfire, cutting debugging time from half a day to minutes, catching a 20x cost spike before it burned their budget, and enabling their lean team to ship production-grade AI features fast.
Explore Logfire
Explore our open source packages