Cerbrec Graphbook: AI Modeling, Made Intuitive

Find the Perfect Plan for Your Needs

Starter

Free

To learn and inspect state-of-the-art model architectures.

Download

Pro

$29 / month

To troubleshoot and customize models with sample data.

Get Started

Team

$59 / seat / month

To collaborate on model building, debugging, and deployment.

Get Started

Business

Custom

To manage life cycle of deep learning models at scale with prompt support.

Enterprise

Custom

To add advanced controls and security, plus dedicated support.

	Starter	Business	Enterprise
Model Development
Model Visualization
Off-the-Self Pretrained Models
Model Components
Compute Operations
Data Previewing
Live Debugging
Data Management
Data Storage	Up to 5 GB	Unlimited	Unlimited
Model Training & Deployment
Compute Jobs
Model Serving API
Infrastructure Management
Public Cloud
Private Cloud (AWS, Azure, GCP)
Support
Community
Premium Support
Dedicated Support

Documentation

Clear and comprehensive documentation to help you get the most out of Graphbook.

See Documentation

AI community for model understanding

Join our slack community to understand more models!

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Focus on diagramming model architecture

Graphbook expands the value of pre-trained LLMs and deep learning models.

Essential for Building In-House AI

Enhance Model Visibility

Graphbook lowers technical barriers and empowers researchers to build LLMs and deep learning models with clarity, visualizing every component. Intelligent diagramming reduces the risk of error-prone “model surgeries” when customizing AI model architecture with a drag-and-drop experience.

Improve Sharing and Collaboration

Graphbook makes it easier to explain and examine your AI models with our intuitive diagrams. Effortlessly share blueprints and discuss model steps with teams and community without stepping through code.

Prioritize Model Safety

Graphbook’s visual interface shines a light on black box AI, facilitating the troubleshooting of output errors in production and ensuring model safety with systematic fixes, instead of hard-coded rules that live outside the model.