HIPAA-compliant AI to protect patient records

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Healthcare AI Challenges

Healthcare organizations face unique obstacles when implementing AI while maintaining patient safety, privacy, and regulatory control.

Patient Data Privacy
Protecting sensitive patient information while enabling AI requires strict controls, auditability, and the ability to operate inside your environment.
HIPAA controls and audit readiness
PHI data exposure risks
Patient consent management
Legacy System Integration
Connecting private AI with EHR systems and clinical workflows without disruption requires careful integration and minimal new moving parts.
EHR system compatibility
Clinical workflow disruption
Data interoperability issues
Regulatory Approval
Healthcare AI needs validation, traceability, and controlled change management to support clinical evaluation and regulatory requirements.
FDA approval complexity
Clinical validation requirements
Evidence-based medicine standards

Private, HIPAA-aligned AI for Healthcare with Scalytics Federated

Deploy private AI for healthcare where PHI lives. Scalytics Federated runs models and pipelines across on-prem and cloud without copying patient data.

Deploy private AI models at scale.

Complete control, security, and privacy with enterprise-grade infrastructure designed for healthcare workloads.

Operate AI within your environment.

Ensure no data leaks by keeping all AI operations inside your secure, compliant infrastructure—fully under control.

Focus on deriving value from your AI.

Eliminate DevOps overhead and concentrate on innovation and patient outcomes with our managed platform.

The Federated Healthcare Stack

Connect clinical applications to distributed patient data without moving it.

Application Layer
Clinical Decision Support
Generative AI / LLMs
Population Health
Execution Layer

Scalytics Federated Engine

Orchestrates compute, enforces privacy, and preserves local governance.

Distributed Data Layer
EHR (Epic/Cerner)
PACS (Imaging)
Genomics DB
IoT & Wearables

With Scalytics Federated, you can:

Transform your healthcare organization with secure, private AI infrastructure designed for regulated environments.

Deploy private AI models at scale

Complete control, security, and privacy with enterprise-grade infrastructure designed for healthcare workloads.

Operate AI within your environment

Prevent data leaks by running AI workloads inside your secure infrastructure with clear governance and auditability.

Meet stringent compliance requirements

Designed to support HIPAA, GDPR, and modern data governance requirements from day one.

Focus on deriving value from AI

Reduce integration friction and operational overhead so teams can deliver clinical and operational outcomes faster.

Transform your healthcare organization with secure, compliant AI infrastructure

Healthcare Use Cases

Apply private AI to clinical and operational workflows while keeping sensitive data within the right boundaries.

Clinical Decision Support
AI-powered decision support that assists providers with evidence-based recommendations inside governed environments.
Medical Imaging Analysis
AI models for radiology, pathology, and imaging analysis with strong performance and controlled deployment.
Drug Discovery
Accelerate pharmaceutical research with AI-driven pipelines while keeping research data governed and traceable.
Patient Monitoring
Real-time monitoring and predictive analytics for early intervention and improved outcomes with clear governance boundaries.
Electronic Health Records
AI-enhanced EHR workflows that improve documentation quality, coding accuracy, and operational throughput.
Telemedicine Support
AI-powered telemedicine workflows that support remote care delivery while keeping patient data in the right place.

Transforming Healthcare with Federated Data and AI

Scalytics Federated enables analytics and AI across distributed data environments without centralizing sensitive data.
Transforming Healthcare with Federated Data and AI
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Better Healthcare Decisions Without Centralizing Data

Scalytics Federated lowers integration and operational cost by avoiding data duplication across healthcare systems.
Better Healthcare Decisions Without Centralizing Data
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Healthcare Compliance & Security

Security and governance patterns designed for healthcare data protection and regulated operations.

HIPAA aligned
FDA readiness support
GDPR aligned
SOC 2 aligned

About Scalytics

Scalytics builds on Apache Wayang, the cross-platform data processing framework created by our founding team and now an Apache Top-Level Project. Where traditional platforms require moving data to centralized infrastructure, Scalytics brings compute to your data—enabling AI and analytics across distributed sources without violating compliance boundaries.

‍Scalytics Federated provides federated data processing across Spark, Flink, PostgreSQL, and cloud-native engines through a single abstraction layer. Our cost-based optimizer selects the right engine for each operation, reducing processing time while eliminating vendor lock-in.

‍Scalytics Copilot extends this foundation with private AI deployment: running LLMs, RAG pipelines, and ML workloads entirely within your security perimeter. Data stays where it lives. Models train where data resides. No extraction, no exposure, no third-party API dependencies.

For organizations in healthcare, finance, and government, this architecture isn't optional, it's how you deploy AI while remaining compliant with HIPAA, GDPR, and DORA.Explore our open-source foundation: Scalytics Community Edition

‍Questions? Reach us on Slack or schedule a conversation.
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