Beyond "Out-of-the-Box": Why Enterprises Need Specialized RL Agents

General-purpose AI models often fail to meet the specific needs of businesses that use unique workflows and private data. Scale AI uses reinforcement learning (RL) to train specialized AI agents for these unique enterprise tasks, such as Text-to-SQL for insurance and legal document reasoning. These specialized agents significantly outperform larger, general models like GPT-5 on accuracy and drastically reduce hallucination rates. The success of this approach depends on a data flywheel that includes high-quality, domain-specific data, robust training environments, and precise reward rubrics.