AI Infrastructure for SaaS
Cake provides a modular AI infrastructure SaaS teams need to launch secure, high-performance AI features without the overhead of managing a brittle stack.







Overview
In SaaS, speed and scalability aren’t just nice to have—they’re the difference between winning and falling behind. Whether you’re embedding AI features into your product, building internal tools for GTM efficiency, or launching customer-facing agents, your infrastructure needs to move as fast as your roadmap. But most teams end up cobbling together tools and services that weren’t built to work together, slowing everything down.
Cake makes it easy to go from prototype to production with a platform purpose-built for secure, cloud-agnostic AI development. It gives your engineers a composable stack that’s ready for data pipelines, orchestration, observability, and LLM integration so you can focus on building features, not fighting infrastructure.
Cake was designed with SaaS companies in mind: flexible enough for rapid experimentation, reliable enough for enterprise-grade deployments, and secure enough to meet the needs of customers in regulated industries. Whether you’re supporting one product or dozens of tenants, Cake gives you the foundation to scale with confidence.
Key benefits
✓ Reduced engineering overhead: Cake delivers production-ready environments that minimize time spent stitching together infrastructure.
✓ Accelerated product development: SaaS teams ship AI-powered features faster—without sacrificing stability or compliance.
✓ Enterprise-grade security and control: Teams can self-host LLMs, route calls securely, and meet complex customer security requirements.
✓ Future-proof foundation: Cake makes it easy to integrate the latest open-source tools without re-architecting your stack.
✓ Optimized for scale: Supports multi-tenant workloads and high-throughput inference pipelines across customer environments.
EXAMPLE USE CASES
How SaaS teams are using Cake
Build embedded AI features
Powering product experiences with LLMs, RAG, and agents that are fully isolated and production-hardened.
Launch secure voice or chat agents
Deploying white-labeled assistants that operate across client environments, without exposing sensitive data.
Enable internal copilots
Giving marketing, sales, or support teams access to AI-enhanced workflows that cut down on manual tasks.
Automate customer support
Routing tickets, surfacing knowledge base answers, or generating replies using context-aware retrieval.
Run self-hosted inference
Keeping LLM calls local or private for customers with strict data governance or compliance requirements.
Deploy telemetry and observability
Gaining real-time visibility into AI workflows, LLM performance, and infrastructure usage across tenants.

Blog
The Best Open-Source Tools for AI-Powered SaaS Solutions
Explore top open-source tools for building SaaS AI solutions that enhance efficiency and innovation. Discover how these tools can transform your development process.
"Our partnership with Cake has been a clear strategic choice – we're achieving the impact of two to three technical hires with the equivalent investment of half an FTE."

Scott Stafford
Chief Enterprise Architect at Ping
"With Cake we are conservatively saving at least half a million dollars purely on headcount."
CEO
InsureTech Company
Frequently asked questions
What is Cake?
Cake is a modular AI infrastructure platform that helps engineering teams build, scale, and secure AI systems using best-in-class open-source tools. It provides a composable foundation for everything from data pipelines and orchestration to LLM deployment and observability.
How does Cake support SaaS companies?
Cake enables SaaS teams to develop AI features faster by eliminating infrastructure overhead. Whether you’re deploying customer-facing agents, building internal copilots, or embedding AI into your product, Cake provides the tooling and scaffolding to do it securely and at scale.
Can Cake work with multi-tenant architectures?
Yes. Cake was built to support complex multi-tenant environments. It enables isolation where needed, while still allowing for shared services, observability, and orchestration across tenants.
Is Cake compatible with our existing cloud setup?
Absolutely. Cake is cloud-agnostic and works across AWS, Azure, GCP, and hybrid environments. It integrates with your existing CI/CD, security policies, and infrastructure-as-code workflows.
What types of AI workloads can Cake handle?
From RAG pipelines and LLM inference to telemetry, routing, and observability—Cake supports a wide range of AI workloads. Teams use it to run secure agents, handle model orchestration, manage GPU/CPU resources, and integrate with vector databases and open-source model libraries.
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