Cake

Cake is an Enterprise AI platform that accelerates AI deployment for regulated industries. It ensures cost control, compliance, and governance by deploying entirely in your VPC.

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At a glance

Pricing

Enterprise

Free tier

API

Skill level

Technical

About

What is Cake?

Cake is an Enterprise AI platform specifically designed for regulated industries, offering accelerated AI deployment while ensuring cost control, compliance, and governance. It operates by deploying entirely within your Virtual Private Cloud (VPC), preventing data egress and maintaining full control over your data for enhanced security and privacy. The platform provides full-stack control for every model, pipeline, and policy, enforcing guardrails where AI actually runs. Cake unifies data, models, and orchestration, standardizing how open-source AI systems are built, run, and observed, with native support for frameworks like LangChain, Ray, MLflow, and Airflow. It also offers real-time cost monitoring, granular drill-downs, and built-in enforcement for access controls and budget adherence.

Best used for

Ideal for data scientists and developers in regulated industries who need to deploy AI systems securely, manage AI project costs, and ensure compliance with industry regulations. Especially valuable for organizations requiring data isolation and robust governance for their AI initiatives.

Common actions

deploy AI models

manage AI costs

ensure AI compliance

govern AI systems

accelerate AI development

Capabilities

Key features

VPC deployment
Real-time cost monitoring
Built-in governance enforcement
Open-source compatibility
Full-stack observability
Accelerated security reviews
Production-ready templates

Target Audience

data scientistdeveloper

Integrations

raylangfuselangflowmlflowkubeflowvllmairflowlangchain

Pricing & Plans

Enterprise

Not publicly disclosed. Check cake.ai for current pricing.

FAQs

How does Cake ensure data privacy and compliance for regulated industries?

Cake deploys entirely within your Virtual Private Cloud (VPC), ensuring no data egress and keeping all data contained. This approach provides greater security, privacy, and compliance by allowing you to maintain full control over your data, which is critical for highly regulated sectors like finance and healthcare.

What kind of cost visibility and control does Cake offer for AI projects?

Cake provides real-time cost monitoring and forecasting, allowing finance and engineering teams to track budgets, usage, and compute costs across teams. It offers live dashboards, granular cost drill-downs by model, provider, or user, and export-ready reporting for chargebacks and internal analytics.

Can Cake integrate with existing open-source AI tools and frameworks?

Yes, Cake is designed to be modular, composable, and open-source compatible. It offers native support for leading open-source frameworks such as LangChain, Ray, MLflow, Airflow, Langfuse, Langflow, Kubeflow, and vLLM, allowing you to plug in your preferred tools and models.

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