Case Study: Rose Rocket achieves GenAI cost visibility and performance gains with nOps

Rose Rocket lowers GenAI costs by up to 30% with nOps

Rose Rocket, a logistics and transportation tech company, faced challenges with opaque billing, unpredictable performance, and a lack of insight into cost and efficiency as they expanded their use of generative AI models from providers like OpenAI and AWS Bedrock. They turned to nOps and its AI Model Recommendation capability to gain visibility and compare their options.

nOps analyzed Rose Rocket's usage across multiple model providers, benchmarking them on over 70 factors including cost, latency, and quality. The nOps solution identified opportunities to lower GenAI costs by up to 30% and reduce latency by as much as 40%, providing the data-informed framework needed for strategic, proactive decision-making.

Rose Rocket