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 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.
Example use cases
Drive transformation across the insurance lifecycle
AI-assisted diagnostics
Deploy models that analyze medical images, lab results, or clinical notes to flag high-risk conditions early.
Clinical documentation automation
Use AI to summarize patient visits, transcribe physician notes, and auto-fill EHR fields—saving hours of admin work.
Patient intake and triage
Deploy chat- or voice-based agents to collect symptoms, validate insurance, and route patients to the right care pathways.
Virtual health assistants
Build secure LLM-powered agents that handle appointment scheduling, medication reminders, and post-discharge follow-ups.
Predictive population health
Analyze patient data at scale to identify chronic disease risks, forecast readmissions, or optimize care management programs.
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
Cake's Security Commitment: SOC 2 Type 2 with HIPAA/HITECH Certification
Cake’s AI infrastructure platform has officially achieved SOC 2 Type II and HIPAA/HITECH compliance—validating our commitment to security, privacy, and regulatory readiness in healthcare environments.
"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
Does Cake support HIPAA compliance?
Yes—Cake is designed with HIPAA, HITECH, and other healthcare-specific standards in mind, including secure deployment and auditability.
Can we use Cake with existing systems like Epic or Cerner?
Yes—Cake integrates with your existing EHR, database, or API-based systems. You don’t need to rip and replace.
What types of healthcare organizations use Cake?
Providers, payers, healthtech startups, and research institutions all use Cake to accelerate AI innovation safely and securely.
Can we run Cake in a private cloud or on-prem?
Yes—Cake supports cloud-agnostic and VPC deployments, giving you full control over data residency and infrastructure.
What if we want to use proprietary or open-source models?
Cake supports both. You can deploy your own fine-tuned models, licensed third-party models, or open-source foundation models.
Learn more about healthcare powered by Cake

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