Case Study: DeepAI cuts LLM costs by 65% with Helicone

A Helicone Case Study

Preview of the DeepAI Case Study

DeepAI cuts LLM costs by 65% with Helicone

DeepAI, a provider of affordable generative AI tools across chat, image, video, and music, faced significant challenges in managing its multi-provider infrastructure. Their custom routing logic for numerous models led to scattered logs, multiple authentication methods, and no unified view of performance or costs, which hindered scaling. They turned to Helicone's observability and monitoring platform to solve these issues.

By implementing Helicone, DeepAI gained a single integration point with a unified dashboard and standardized tracing. This solution allowed them to cut the cost of their characters product by 65%, increase their available model count by 10x, and reduce error rates by 0.13%. Helicone enabled the team to integrate new models in hours instead of days, dramatically improving their operational efficiency and scalability.


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