Cake provides an enterprise AI management platform deployed entirely within a customer's VPC for regulated industries. This platform unifies data, models, and orchestration while enforcing governance, security, and cost controls across the AI/ML lifecycle. It enables faster development and scaling of GenAI and Machine Learning applications using open-source components.
Funding
$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing and deploying AI projects requires integrating various open-source components, managing compute resources, and ensuring robust security, which can be time-consuming and resource-intensive. Businesses often face challenges in assembling and maintaining a production-ready AI infrastructure.
Solution
Cake offers a modular platform that streamlines the AI development lifecycle by integrating open-source AI components, compute management, and security features. The platform provides pre-built integrations and auto-scaling capabilities, reducing the time and resources needed to implement AI solutions. Cake allows developers to configure their AI stack and accelerate building with underlying infrastructure, resource administration, component integrations, and pre-built project guides. Security and monitoring are integrated throughout, enabling a smooth path to production.
Target Audience
Cake's primary customers are AI developers and businesses looking to accelerate their AI project development and deployment with a modular, configurable, and secure platform.
Features
- Pre-assembled collections of infrastructure components, pipelines, and example notebooks for common use cases
- Production-ready access to over 100 managed open-source components across AI/ML, Data Engineering, and Analytics
- Centralized security, system monitoring, user management, and role-based access control
- Compute auto-scaling across multiple clouds for both inference and training
- Project oversight features including cost tracking, resource utilization monitoring, drift alerting, and pipeline error detection
- Centralized location for project artifacts including notebooks, experiments, pipelines, and assets
- Pre-built integrations across the full breadth of components required for production AI applications