Deploy AI that protects patient data
Healthcare organizations want AI productivity gains but cannot risk PHI exposure. We build LLM applications on HIPAA-eligible cloud services with the technical safeguards auditors and legal teams require.
Talk to an ExpertAlgofy implements AI systems on AWS and Google Cloud using HIPAA-eligible services under Business Associate Agreements. From clinical documentation assistants to patient intake chatbots, every component — ingestion, inference, storage, and logging — is designed to keep PHI within compliant boundaries.
AWS Partner Program Benefits
As an official AWS Partner and North American distributor, we extend partner-only advantages to qualified customers.
- Free POC for selected projects — Qualified engagements can receive a proof-of-concept built at no charge when you partner with us on AWS — we invest upfront so you validate before you commit.
- Access to AWS partner funds — We tap AWS partner funding programs and credits to offset migration, modernization, and AI workload costs that direct customers cannot access on their own.
- Official AWS distributor · North America — Algofy is an authorized AWS distributor in North America, enabling discounted AWS resources and consolidated billing support for enterprise teams.
- Discounted AWS resources — Beyond standard pay-as-you-go pricing, eligible customers receive partner-level discounts on AWS consumption through our distributor relationship.
Built for enterprise outcomes
BAA-covered infrastructure
Deploy on AWS and GCP services covered by Business Associate Agreements, with architecture designed to meet HIPAA technical safeguard requirements.
PHI guardrails built in
Automated PHI detection, redaction, and blocking on LLM inputs and outputs prevent accidental exposure in AI-generated responses.
Encryption everywhere
Data encrypted at rest with KMS-managed keys and in transit with TLS 1.2+. No PHI stored in logs, caches, or third-party model training pipelines.
Audit-ready operations
Comprehensive access logging, session tracking, and retention policies that satisfy HIPAA audit requirements and support breach investigation.
Our proven process
Compliance scoping
Define PHI data flows, identify covered entities and business associates, and map HIPAA technical safeguards to AI system components.
Architecture design
Design HIPAA-eligible cloud architecture with network isolation, encryption, access controls, and PHI-safe LLM integration patterns.
Guardrail implementation
Deploy PHI detection, input/output filtering, de-identification pipelines, and role-based access on all AI touchpoints.
Security validation
Penetration testing, vulnerability assessment, and control validation against HIPAA Security Rule requirements.
Documentation & handoff
Produce risk assessments, policies, BAA documentation, and operational runbooks for compliant ongoing management.
What you receive
HIPAA AI architecture document
PHI-safe LLM application
Encryption & access control configuration
PHI detection & redaction pipeline
Compliance documentation package
Common questions
Can we use ChatGPT or public LLM APIs for healthcare data?
Public LLM APIs generally do not offer BAAs and may use inputs for model training. For PHI, you need HIPAA-eligible cloud AI services (AWS Bedrock, Vertex AI) deployed within your own account under a signed Business Associate Agreement.
What HIPAA technical safeguards do you implement for AI?
Access controls, audit logging, encryption at rest and in transit, PHI detection on inputs/outputs, automatic session timeouts, and minimum necessary access policies. We map each control to HIPAA Security Rule requirements.
Do you sign a Business Associate Agreement?
Yes. Algofy executes BAAs with covered entities and business associates as required for HIPAA-compliant engagements. Cloud infrastructure BAAs with AWS and GCP are established as part of platform setup.
Ready to get started?
Talk with our AWS and Google Cloud partner team about your hipaa-compliant ai goals. Qualified AWS engagements may include a free POC, partner funding, and discounted resources.
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