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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.

 

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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.

  • Future-proof foundation: Cake makes it easy to integrate the latest open-source tools without re-architecting your stack.

  • Enterprise-grade security and control: Teams can self-host LLMs, route calls securely, and meet complex customer security requirements.

  • Optimized for scale: Supports multi-tenant workloads and high-throughput inference pipelines across customer environments.

6X Stat

Increase in MLOps productivity

-3-9x stat

Faster model deployment to production

500k to $1M savings

Annual savings per LLM project

THE CAKE DIFFERENCE

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Cake vs. in-house builds

 

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In-house build

Prebuilt AI tools get you moving quickly, but customization and control are limited.

  • Requires building orchestration, observability, and compliance from scratch
  • High engineering overhead to maintain pipelines and infra
  • Long delays to ship productized AI features
  • Difficult to standardize and scale across tenants

Result:

Full control, but slow velocity and mounting infrastructure debt

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The Cake approach

Built for fast-moving SaaS teams that need to scale AI

  • Deploy in 48 hours with pre-integrated MLOps and observability
  • Modular and open; plug in your own models, services, and workflows
  • Cloud-agnostic and multi-tenant ready
  • Enterprise-grade compliance with zero vendor markup

Result:

Faster feature delivery, easier scaling, and lower infra burden

EXAMPLE USE CASES

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How SaaS teams are

using Cake today

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Build embedded AI features

Powering product experiences with LLMs, RAG, and agents that are fully isolated and production-hardened.

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Launch secure voice or chat agents

Deploying white-labeled assistants that operate across client environments, without exposing sensitive data.

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Enable internal copilots

Giving marketing, sales, or support teams access to AI-enhanced workflows that cut down on manual tasks.

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Automate customer support

Routing tickets, surfacing knowledge base answers, or generating replies using context-aware retrieval.

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Run self-hosted inference

Keeping LLM calls local or private for customers with strict data governance or compliance requirements.

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Deploy telemetry and observability

Gaining real-time visibility into AI workflows, LLM performance, and infrastructure usage across tenants.

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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.

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Where companies are implementing AI (and reaping the rewards) right now

Explore the applications of artificial intelligence transforming industries, from healthcare to finance, and learn how AI is reshaping business operations.

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"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."

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Scott Stafford
Chief Enterprise Architect at Ping

Read The Case Study
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"With Cake we are conservatively saving at least half a million dollars purely on headcount."

CEO
InsureTech Company

Read the case study
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"Cake powers our complex, highly scaled AI infrastructure. Their platform accelerates our model development and deployment both on-prem and in the cloud"

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Felix Baldauf-Lenschen
CEO and Founder

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?

Can Cake work with multi-tenant architectures?

Is Cake compatible with our existing cloud setup?

What types of AI workloads can Cake handle?

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