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AI Infrastructure for Modern Healthcare

Power secure, compliant, and efficient AI workflows across diagnostics, operations, and patient engagement while maintaining full control over your data and models.

 

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Overview

The promise of AI in healthcare is massive: faster diagnoses, more personalized care, streamlined operations, and reduced clinician burnout. But turning that promise into production reality is anything but simple. Healthcare organizations face a complex mix of siloed data, legacy systems, and strict compliance requirements like HIPAA, HITECH, and SOC 2. Many AI projects stall in the prototype phase, not because the models don’t work, but because the infrastructure can’t support them safely or scalably.

That’s where Cake comes in.

Cake is a modular AI infrastructure platform built for speed, security, and interoperability. Whether you’re developing custom LLMs for clinical documentation, deploying imaging models at the edge, or spinning up AI agents to support patient interactions, Cake gives you the tools to build and scale with confidence.

You stay in control of your data. You choose the models and frameworks. And you deploy in your own cloud environment on your own terms.

Healthcare doesn’t need another black-box AI solution. It needs infrastructure you can trust. Cake delivers that foundation.

Key benefits

  • Accelerated delivery of AI-powered healthcare tools: Move from concept to production 70% faster using modular infrastructure designed for AI innovation.

  • HIPAA‑ready, SOC 2 Type II‑audited architecture, out-of-the-box: Bake security and compliance into every layer of your AI pipeline from data handling to model deployment.

  • Total control over patient data and models: Keep sensitive workloads in your own cloud or VPC while integrating with your EHR, PACS, or internal APIs.

  • Interoperable with existing healthcare systems: Connect to legacy infrastructure and emerging standards like FHIR without needing to rebuild.

  • Support for open source and proprietary models: Deploy anything from fine-tuned foundation models to clinical imaging models, and do it all on your terms.

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Increase in
MLOps productivity

 

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Faster model deployment
to production

 

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Annual savings per
LLM project

THE CAKE DIFFERENCE

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You don't need to sacrifice
 control to move fast

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In-house build

Total control, but slow and costly

  • Heavy engineering lift
  • Long timelines for compliance and production readiness
  • DIY orchestration, observability, and access controls
  • High TCO and maintenance debt

Result:

Full control, but delayed impact and unsustainable complexity

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The Cake approach

Compliance-ready and cloud-agnostic out of the box

  • Deploy in 48 hours with security and observability pre-wired
  • Keep PHI and sensitive data in your VPC or on-prem
  • Integrate easily with EHRs, CDPs, and ML pipelines
  • Save $500K–$1M+ per project compared to custom builds

Result:

Fast deployment, full control, and enterprise-grade compliance

EXAMPLE USE CASES

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Drive healthcare transformation
with custom AI solutions

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AI-assisted diagnostics

Deploy models that analyze medical images, lab results, or clinical notes to flag high-risk conditions early.

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Clinical documentation automation

Use AI to summarize patient visits, transcribe physician notes, and auto-fill EHR fields, saving hours of admin work.

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Patient intake and triage

Deploy chat- or voice-based agents to collect symptoms, validate insurance, and route patients to the right care pathways.

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Virtual health assistants

Build secure LLM-powered agents that handle appointment scheduling, medication reminders, and post-discharge follow-ups.

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Predictive population health

Analyze patient data at scale to identify chronic disease risks, forecast readmissions, or optimize care management programs.

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Medical research and model development

Use Cake’s infrastructure to fine-tune foundation models on clinical datasets and rapidly test new AI-driven therapies.

SECURITY & COMPLIANCE

Secure AI, verified: Cake earns SOC 2 Type II & HIPAA certifications

Cake’s AI infrastructure platform has officially achieved SOC 2 Type II and HIPAA/HITECH compliance. It's part of our commitment to security, privacy, and regulatory readiness in healthcare environments.

Read More >

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14 ways AI is transforming healthcare

Explore the top use cases for AI in healthcare, from improving diagnostics to enhancing patient care, and see how AI is transforming the medical field.

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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

Does Cake support HIPAA compliance?

Yes! Cake is designed with HIPAA, HITECH, and other healthcare-specific standards in mind, including secure deployment and auditability.

What does SOC 2 Type II certification add beyond HIPAA?

Can we use Cake with existing systems like Epic or Cerner?

What types of healthcare organizations use Cake?

Can we run Cake in a private cloud or on-prem?

What if we want to use proprietary or open-source models?

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