Latency and Control Drive Shift to Open-Source Models
Decagon initially utilized frontier models to establish early functionality for its AI applications.
However, as the company began working with larger enterprise clients and developed voice agents, the critical need for lower latency became a significant factor.
Jesse Zhang notes that frontier lab models often lack the granular control necessary to align precisely with specific business workflows and requirements.
Currently, 90% of Decagon's workflows are built upon fine-tuned open-source models, demonstrating a strategic pivot towards more controllable and efficient solutions.


