Weights & Biases Weave vs WhyLabs

Weights & Biases (W&B) is a San Francisco-based MLOps and LLMOps platform founded in 2017. Weave is W&B's product layer purpose-built for LLM observability, evaluation, and governance. It provides automatic tracing of LLM calls (inputs, outputs, latency, cost), evaluation pipelines with human and automated scoring, dataset versioning, and guardrails to block prompt attacks and harmful outputs. Weave integrates with major LLM providers including OpenAI, Anthropic, Google Gemini, and frameworks such as LangChain and LlamaIndex. For AI compliance, W&B runs EU AI Act-focused webinar series demonstrating how Weave can generate compliance dossiers for high-risk AI systems, providing audit trails and evidence generation. The platform holds SOC 2 Type II certification. Enterprise tier includes SSO, RBAC, and private cloud deployment. W&B has raised $305M total and was valued at $1.25B in 2023.

WhyLabs provided an AI observability platform for monitoring machine learning models, data pipelines, and generative AI applications in real-time. Key differentiators included privacy-preserving data logging via open-source whylogs, LLM monitoring with langkit, drift detection, and low-latency threat detection without data movement. Targeted ML engineers and data scientists at Fortune 100 companies to AI startups in regulated sectors like financial-services and healthcare. Company discontinued commercial operations in 2025 following reported acquisition by Apple, open-sourcing its platform; tools remain available on GitHub.