{"slug":"observe-ai-cuts-machine-learning-costs-over-50-with-load-testing-framework-on-aws","url":"https://findausecase.com/use-cases/observe-ai-cuts-machine-learning-costs-over-50-with-load-testing-framework-on-aws","title":"Observe.AI cuts machine learning costs over 50% with load-testing framework on AWS","description":"Observe.AI, a conversation intelligence platform using a 30-billion-parameter contact center LLM to analyze customer interactions, developed and open-sourced the One Load Audit Framework (OLAF), integrated with Amazon SageMaker, to automatically identify bottlenecks and performance issues in its ML services and predict data load capacity. By fine-tuning SageMaker instance sizes with OLAF, Observe.AI cut ML deployment costs by over 50%, reduced infrastructure sizing time from one week to a few hours, and enabled on-demand scaling to support a 10x increase in data load.","company":"Observe.AI","industry":"Technology & Software","aiCapabilities":["Conversational AI"],"technology":["Amazon SageMaker","Amazon SQS","Amazon SNS","AWS"],"deployment":"Public Cloud","problemStatement":"Observe.AI's ML engineers struggled to accurately predict whether its ML system could handle a tenfold increase in data load when moving models from research to production, while needing to manage latency and control costs.","solutionApproach":"Observe.AI built and open-sourced the One Load Audit Framework (OLAF), integrated with Amazon SageMaker, Amazon SQS, and Amazon SNS, to load-test ML services and identify bottlenecks, latency, and throughput under static and dynamic data loads.","businessValue":"Using OLAF, Observe.AI cut ML deployment costs by over 50%, reduced the time to determine the right instance configuration from about a week to a few hours, and can now scale to support a tenfold increase in data load.","evidence":{"band":"high"},"sourceUrl":"https://aws.amazon.com/solutions/case-studies/observe-ai-case-study/","dates":{"publishedAt":"2026-09-25T05:47:49.399Z","publishedAtSource":"pipeline","updatedAt":"2026-09-25T05:47:49.399Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/observe-ai-cuts-machine-learning-costs-over-50-with-load-testing-framework-on-aws. Bulk republication requires permission."}