Weights & Biases

Amazon SageMaker

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly. It removes the heavy lifting from each step of the machine learning process, enabling you to focus on the science of machine learning and the business value it can bring.

IBM Watson Studio

IBM Watson Studio is a cloud-based platform for building, training, and deploying AI and machine learning models. It provides a collaborative environment for data scientists, developers, and domain experts to work together on AI projects.

Comet

Comet is an AI developer platform covering two connected needs: traditional ML experiment tracking and management, and LLM and agent observability through its Opik product. On the MLOps side, it lets data scientists track and compare training runs, version models and datasets, and monitor production models, with support for frameworks like PyTorch, TensorFlow, Hugging Face, and scikit-learn. Opik, Comet's LLM observability and evaluation platform, adds tracing across 60+ integrations, automatic error detection with an AI assistant called Ollie that recommends fixes, test suites with LLM-as-a-judge evaluation, and production monitoring dashboards, including cost tracking for coding agents like Claude Code. Opik's core feature set is available as a free, self-hostable open-source download in addition to Comet's hosted cloud plans.

LangWatch

LangWatch is an LLM engineering platform built around AI agent testing, evaluation, and observability. It combines simulation-based agent testing with an automated evaluation loop and production-grade trace analysis, helping teams turn unpredictable agents into reliable systems. The platform is trusted by engineering teams at Backbase, PagBank, Visma, Deloitte, and others shipping mission-critical AI, and it positions itself as the loop-engineering layer between agent development and production confidence.