C3 AI alternatives

3 tools to consider instead of C3 AI, shown against it.

C3 AI DataRobot Domino Data Lab Dataiku
Vendor C3.ai, Inc. DataRobot, Inc. Domino Data Lab, Inc. Dataiku
Pricing model Quote only Quote only Quote only Quote only
Free tier No No No Yes
Deployment Cloud, Self-hosted Cloud, Self-hosted Cloud, Self-hosted Cloud, Self-hosted
Open source No No No No
Best for Large asset-heavy enterprises and government agencies needing industry-specific AI applications at scale. Enterprises wanting to automate model building and governance across many use cases at scale. Regulated enterprises needing centralized governance over many data scientists' compute and models. Mixed teams of analysts and data scientists collaborating on the same data-to-model workflow.
Pricing

No published pricing; C3 AI is sold through direct enterprise sales engagements.

Pricing has not been verified yet — see the vendor's site.

No published pricing; DataRobot requires a demo request and custom quote from sales.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

No published pricing; Domino sells subscriptions by quote across Domino Cloud, Premium, and Enterprise self-managed tiers.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

A free edition is available for individuals/small teams; paid editions require a custom quote from sales.

Pricing has not been verified yet — see the vendor's site.

Features
  • Ontology layer for unifying operational data
  • Low-code AI application development (C3 AI Studio)
  • Generative AI grounded in proprietary enterprise data
  • Pre-built industry applications (maintenance, demand planning, etc.)
  • Agent-based autonomous execution tooling
  • Multi-cloud and on-premises deployment
  • Automated machine learning (AutoML)
  • Generative AI application building and evaluation
  • Model deployment and monitoring (MLOps)
  • Governance and approval workflows
  • Model explainability and bias testing
  • Time series and demand forecasting
  • Self-managed and cloud deployment options
  • Managed compute for notebooks, IDEs, and jobs
  • Bring-your-own-framework model development
  • Centralized reproducibility and experiment tracking
  • Model deployment and monitoring
  • GPU and distributed compute support
  • Self-managed VPC/on-premises deployment option
  • Governance and cost controls for IT/admins
  • Visual data preparation flow
  • Python and R notebooks alongside no-code recipes
  • AutoML and visual ML model building
  • MLOps: deployment, monitoring, and model versioning
  • LLM Mesh for generative AI application building
  • Collaborative project workspace for mixed-skill teams
  • Governance and data lineage tracking

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