C3 Agentic AI Platform

At a glance

• Editor score
  7.0 / 10
• Pricing
  Pricing on request
• Best for
  Enterprises combining data science with agent workflows
• Hosted notebooks
  Yes
• Facts checked
  23 Sep 2026

• Where it wins

  • Visual notebooks and ML pipelines cover data preparation through model training.
  • Agents can run on schedules, on demand, or in response to data events.
  • Supports cloud and self-hosted deployment with GitHub version control.

• Where it doesn't

  • Enterprise-focused fit may not suit smaller teams.
  • Pricing requires contacting sales rather than choosing a published plan.
  • Non-standard infrastructure deployments may require vendor assistance.

Our verdict on C3 Agentic AI Platform

C3 Agentic AI Platform is a model-driven development and runtime environment for enterprise AI applications. It is aimed at organizations bringing data integration, machine learning and agent workflows into one application environment. Visual notebooks support data exploration, preparation, analysis and visualization; ML pipelines support feature engineering, model training and reusable workflows. The shared C3 AI Type System underpins the platform's model-driven approach, while deployment options include cloud and self-hosted environments.

The data science workflow extends from notebook execution to deployed models. Teams can schedule repeatable visual notebook runs, use integration pipelines for batch and streaming data, and deploy models through a framework for serving predictions and managing the model lifecycle. Application packages can be version controlled with GitHub. This breadth makes the platform relevant to enterprises that need connected data science and application tooling, rather than only an environment for experimentation. The published product information also describes cloud and customer-provided or other non-standard infrastructure deployments; non-standard deployments may need vendor assistance.

Agent tooling is a distinguishing part of the scope: an agent workbench lets teams configure agents and attach tools, and agentic workflows can start on a schedule, on demand, or in response to data events. According to the vendor's product page, prospective customers can request a demo, while pricing is handled through contact with sales. Documentation is identified as a support channel. C3 is a stronger fit for enterprise teams seeking both ML lifecycle functions and operational agent workflows; organizations wanting published self-serve pricing or a narrower, simpler data science tool may prefer another option.

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C3 Agentic AI Platform pricing

C3 Agentic AI Platform fact sheet

Alternatives to C3 Agentic AI Platform

• SAS ViyaA broad analytics and model-operations platform with flexible deployment and sales-led pricing.9.3
• Amazon SageMaker AIA broad AWS-hosted ML workflow for teams developing and operating models.9.2
• Azure Machine LearningA broad Azure ML lifecycle platform, with compute costs billed separately.9.1

See all C3 Agentic AI Platform alternatives →

Featured on iTechGuides

C3 Agentic AI Platform is listed in our Data Science Platforms directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update