Case Study: Base44 cuts cost per token and boosts performance with Crusoe Managed Inference

Base44 cuts cost per token by an order of magnitude with Crusoe

Base44, a software and app creation platform, faced the challenge of high costs and lack of specialization when using general frontier AI models for its core task of turning natural language into working applications. To own its model and improve unit economics, the company needed an inference provider that could serve its custom model at massive scale while remaining cost-effective.

Crusoe implemented its Managed Inference service, providing dedicated capacity and building a tailored speculative decoding algorithm specifically for Base44's unique traffic patterns. This solution allowed Base44 to run the majority of its production traffic on Crusoe, achieving improved performance and latency while cutting its cost per token by an order of magnitude. The results included a better product for its 10 million users and the ability to support the company's rapid growth, which saw its annual recurring revenue double to $200 million in just five months.

Base44