19/05/2026
AI workflows rarely run on a single framework.
Teams move across models, pipelines, and ecosystems – and their datasets need to move just as easily. That’s why export flexibility matters more than most teams realize.
Supporting formats like 𝗖𝗢𝗖𝗢, 𝗬𝗢𝗟𝗢, 𝗝𝗦𝗢𝗡, 𝗮𝗻𝗱 𝗫𝗠𝗟 helps reduce conversion bottlenecks, simplify integrations, and accelerate experimentation.
At EnFuse, we understand that scalable AI operations depend on adaptable data workflows.
And with 𝗧𝗮𝗴𝗶𝟱, we’ve built annotation flexibility into the foundation enabling teams to work seamlessly across frameworks and evolving AI environments.
Modern AI workflows aren’t built around one format. They’re built around interoperability.