The post notes TypeSafe AI's Jev model is used by a third of Fortune 500 companies, and suggests non-text AI could change enterprise decision-making dynamics.
TypeSafe AI's Jev model is already in use by a third of Fortune 500 companies. That's some serious traction fast. Non-text AI could really change decision-making dynamics in enterprises.
The author tested Jev on a benchmark of 1,565 German and English business emails from industrial suppliers across 10 categories, finding it less accurate than Gemini, but focused on where the errors occurred and still plans to put it into production.
Aaron Levie says Jev helps agents make split-second decisions in workflows, data classification, and judgment calls, with a Box and Jev demo pulling an incident report from Box.
Fatih Yildiz says TypeSafe AI's Jev looks promising for observability decision model use cases, noting latency adds up when using frontier models at edge_delta for operational priority scoring and event routing, and is testing Jev.
