About
Weights & Biases (W&B) is the standard platform for ML experiment tracking, model versioning, and dataset management. Its Weave product extends this to LLM observability — tracing, evaluation, and monitoring for production LLM applications. Used by 1,000+ enterprise ML teams.
Enterprise Readiness
from cataloged data2 certifications: SOC 2, GDPR
Flexible deployment: Cloud, Self-Hosted
5 documented integrations
1 published case study
Founded 2018 · Series C
Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.
Enterprise Use Cases
Integrations
Compliance & Certifications
In Production At1 case study
How Weights & Biases compares
| Tool | Readiness | Pricing | Deployment | Compliance | Integrations |
|---|---|---|---|---|---|
| Weights & Biases | 71 · Strong | Freemium | Cloud, Self-Hosted | SOC 2, GDPR | 5 |
| Arize AI | 67 · Strong | Freemium | Cloud, Self-Hosted | SOC 2, GDPR | 5 |
| LangSmith | 66 · Strong | Freemium | Cloud, Self-Hosted | SOC 2, GDPR | 5 |
| Databricks | 86 · Leader | Enterprise | Cloud, Hybrid | SOC 2, HIPAA, ISO 27001, FedRAMP | 6 |
Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.
Frequently Asked Questions
What is Weights & Biases used for?
Weights & Biases is the ML platform for experiment tracking and LLM observability. It is commonly used for experiment tracking, model versioning, llm evaluation, and team collaboration.
Is Weights & Biases free, and how is it priced?
Weights & Biases offers a free tier, with paid plans that add capacity and features.
What compliance certifications does Weights & Biases have?
Weights & Biases lists SOC 2 and GDPR compliance, indicating adherence to recognized security and data-handling standards relevant to enterprise procurement.
How can Weights & Biases be deployed?
Weights & Biases supports Cloud and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.
What does Weights & Biases integrate with?
Weights & Biases documents 5 integrations, including PyTorch, TensorFlow, Hugging Face, SageMaker, and Databricks.
When was Weights & Biases founded?
Weights & Biases was founded in 2018 and has raised $200M in funding.
Is Weights & Biases enterprise-ready?
Based on cataloged data, Weights & Biases has an Enterprise Readiness score of 71/100 (Strong tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.
Quick Facts
New & Notable
AI-curated news will appear here once the news feed pipeline launches.
Is this your product?
Claim this profile to manage your listing — update your logo, add case studies, verify compliance certifications, and respond to enterprise inquiries.
Alternatives to Weights & Biases
View all →Comparable Data & MLOps tools, ranked by enterprise readiness.
Arize AI
arize.com
ML observability and LLM evaluation platform
LangSmith
smith.langchain.com
Observability and evaluation platform for LLM applications
Databricks
databricks.com
The data + AI platform for enterprise analytics at scale
Scale AI
scale.com
The AI infrastructure company for enterprise data and RLHF
Amazon SageMaker
aws.amazon.com/sagemaker
Fully managed ML platform for building, training, and deploying models
Google Vertex AI
cloud.google.com/vertex-ai
Unified ML platform for building and deploying AI on Google Cloud