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A single platform that gets you to frontier AI, fast

 

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Cake brings your entire AI/ML operation onto a single system with best-in-class components so you can build faster, with lower costs, and less risk.

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Faster Time to Production

Faster time to production

Launch AI projects in days instead of months. Spend less time on integrations and instead focus on innovation and building amazing use cases. 

Lower Costs

Lower costs

Reduce the need for extensive in-house resources for development and ongoing maintenance. Build solutions into a single offering instead of multiple platforms. Enable managers to set cost controls at a project level.

Reduced Risk

Reduced risk

Build with a curated list of components and ensure you’re never locked in to prior versions. Benefit from expert project guidance, vetted integrations and central oversight. Ensure projects are safe with pre-built authentication and RBAC.

Improved Quality

Improved quality

Work with the latest versions of the best tools available in AI development. Gain a central organization point for all AI projects. Build with tools you’re already familiar with.

CORE

Built for scale, secured by design

​Cake's core platform offers robust capabilities designed to enhance scalability, security, and operational efficiency:​

Dynamic autoscaling

Seamlessly adjusts resources to match workload demands, optimizing performance and cost-efficiency.​

Comprehensive security

Advanced monitoring

Infrastructure flexibility

GitOps integration

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DATA & ANALYTICS

Data in, intelligence out

From ingestion to synthetic generation, Cake’s data layer equips teams with the tools to build, tune, and scale AI/ML systems with security, observability, and performance built in.

Ingestion & ETL pipelines

Leverages best-in-class tools like Airflow, DBT, and Prefect to automate ingestion, transform raw inputs, and scale workflows that prep data for model consumption, because no model trains without it.

Data extraction for LLMs

Analytics & visualization

Synthetic dataset creation

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AIOPS

Operationalize AI at scale

Cake streamlines the end-to-end lifecycle of generative AI applications—from orchestration to evaluation—backed by scalable infrastructure and built-in observability.

 

Orchestration & agentic flows

Integrates with model catalogs like Hugging Face and enables modular workflows using LangChain, LlamaIndex and Langflow to build and route LLM-powered applications faster. Rich tooling for agentic frameworks including LangGraph, CrewAI, Autogen, OpenAI, and Google.

Flexible inference infrastructure

Prompt & model evaluation

Tracing & monitoring

Developer & user interfaces

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MLOPS

Your models deserve better infrastructure

Cake gives teams the tools to develop, train, and operate machine learning models with reproducibility, scalability, and observability built in.

Experimentation to deployment

From Jupyter-based prototyping to Kubeflow pipelines, Cake integrates with tools like MLflow and ClearML to track experiments, manage hyperparameters, and promote the best models to production.

Scalable model training

Production-grade serving

Observability & drift detection

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Learn more

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The Future of AI Ops: Exploring the Cake Platform Architecture

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