BigML
What is BigML?
Discover how BigML can enhance your workflow
Key Capabilities
What makes BigML powerful
AutoML and Models
Train classification regression clustering anomalies and time series with AutoML and ensembles while preserving full evaluations and artifacts.
Pipelines with WhizzML
Script repeatable workflows for training scoring and monitoring so results are reproducible across teams and time.
Cloud or Private
Serve models in BigML cloud or install privately to satisfy data governance network and user scale requirements.
Versioning and Roles
Use immutable resources version history organizations and roles to support audits compliance and collaboration.
Key Features
What makes BigML stand out
- GUI and REST API for the full ML lifecycle with reproducible resources
- AutoML and ensembles
- Time series anomaly detection clustering and topic modeling
- WhizzML to script and share pipelines
- Versioned immutable resources
- Organizations with roles projects and dashboards
- Exportable interpretable models and evaluations
- Flexible deployment cloud or private
Use Cases
How BigML can help you
- Stand up a governed ML workflow
- Automate repeatable training and evaluation with WhizzML
- Detect anomalies for risk monitoring
- Forecast demand with time series
- Cluster customers and products
- Embed predictions through the REST API
- Run private deployments for residency rules
- Standardize model building across teams
Perfect For
Data scientists, analytics engineers, and ML platform teams who want a standardized GUI plus API approach to build govern and deploy models
Plans & Pricing
Free / From $1,000 per month / $10,000 per year
Visit official site for current pricing
Quick Information
Compare BigML with Alternatives
See how BigML stacks up against similar tools
Frequently Asked Questions
How does pricing start?
Is there an on premises option?
Do you support APIs?
Can we collaborate safely?
What algorithms are available?
Is model export possible?
Do you offer training?
How do you handle audits?
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