ML Ops Companies
Explore 2 ML Ops companies in our AI directory. Leading companies include Weights & Biases, HumanSignal.
Weights & Biases
San Francisco, United States
Weights & Biases builds a comprehensive MLOps platform centered around its core product, W&B, which provides tools for experiment tracking, hyperparameter optimization, and model versioning. Their platform distinguishes itself through robust visualization capabilities, collaborative features for team-based ML development, and integrations with popular frameworks like PyTorch, TensorFlow, and Hugging Face. W&B is widely adopted by leading AI research labs and companies – including Nvidia, OpenAI, and Stability AI – to accelerate machine learning workflows and improve model performance.
HumanSignal
San Francisco, United States
HumanSignal develops Label Studio, a fully-configurable, open-source data labeling platform designed for complex data types including audio, video, and timeseries data. Their technology focuses on enabling high-quality, human-in-the-loop annotation with customizable UIs, workflow orchestration, and traceable oversight for compliant AI development. HumanSignal serves both enterprise clients seeking to embed unique data into AI systems and frontier AI labs requiring novel datasets, offering both a self-serve platform and managed services for dataset creation and annotation.