BigML
End to end machine learning platform with GUI and REST API that covers data prep modeling evaluation deployment and governance for cloud or on premises use.
Overview
BigML provides a consumable machine learning platform designed to take projects from dataset to deployed model with repeatability and control. Teams can explore data in the web dashboard, automate workflows through the API, and collaborate using organizations and roles. Algorithms span classification regression clustering anomaly detection and time series, with AutoML, ensembles, and deepnets available for advanced users.
Resources are versioned and immutable which improves auditability, and WhizzML lets you script reusable pipelines. Deployment options include multi tenant cloud subscriptions and private deployments on your cloud or on premises with unlimited users. The platform emphasizes traceability, exportable models and standardized processes so enterprises can scale ML without stitching many libraries.
A 14 day free trial unlocks all features so stakeholders can evaluate the interface and the API quickly before moving to a paid subscription or a private install.
Key features
- 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
Best for
- 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
Capabilities
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.
Frequently Asked Questions
How does pricing start?
BigML advertises a 14 day free trial for all functionality and offers subscription plans for cloud and private deployments, specific starting prices are provided on request.
Is there an on premises option?
Yes private deployments can run on your infrastructure or preferred cloud with unlimited users and tasks.
Do you support APIs?
Every feature is API first with bindings for popular languages so workflows are programmable from day one.
Can we collaborate safely?
Organizations projects and roles allow granular sharing while keeping sensitive resources restricted.
What algorithms are available?
BigML includes classification regression clustering anomaly detection time series ensembles and deepnets.
Is model export possible?
Interpretable and exportable models and evaluations are available to help stakeholders validate outcomes.
Do you offer training?
BigML provides certifications and workshops so teams can ramp quickly and adopt best practices.
How do you handle audits?
Resources are immutable and versioned with full parameters which supports traceability and compliance reviews.
