Applied Compute builds a cloud platform and embedded service for enterprises that want to train, deploy, and continuously improve their own AI models and agents on proprietary data. Instead of selling a generic chatbot, it helps customers turn internal workflows, production traces, and expert judgment into custom models that can do real work inside the business. The company’s platform spans post-training, evaluation, inference, observability, and secure deployment, with a particular focus on reinforcement learning and continual learning. Its engineers and researchers also work directly with customers to scope use cases, build evals, train models, and put agents into production.