AK Launch builds HIPAA-compliant AI software for healthcare organizations — artificial intelligence that speeds up clinical work while protecting patient health information (PHI) at every step. As a HIPAA-compliant AI development company, we design, build, and operate healthcare AI end to end — and it runs in production today for physiatry and applied behavior analysis (ABA) practices.
What “HIPAA-compliant AI” means at AK Launch
- PHI is protected before it reaches the model — sensitive data is redacted or tokenized before any AI request.
- Every access is audited — protected-data access is logged to HIPAA §164.312(b) audit-control standards.
- Secure by design — encrypted databases, infrastructure-as-code, and dedicated audit logging.
- Humans stay in control — AI drafts and suggests; clinicians review and approve.
What we build
- Ambient AI scribes that turn a spoken visit into a structured, coded clinical note for the physician to review.
- AI-assisted medical coding that suggests CPT and ICD codes for your team to confirm.
- AI clinical review — risk flags, diagnosis suggestions, and duplicate-note detection for clinicians to accept or dismiss.
- Secure clinical assistants with prompt-injection guardrails and read-only data access.
Proven in production
American Physiatry — physicians were losing hours after every visit to SOAP notes and manual coding. Our ambient AI scribe listens to the visit, drafts the structured note with suggested CPT/ICD codes, and files it into their EMR once the physician reviews and signs off.
Achievers ABA — a growing ABA practice needed clinical-note quality review at scale. Our AI reviews notes for quality and compliance with all PHI automatically redacted before it reaches the model, and every data access logged to HIPAA audit standards — reviewers and billers stay in control.
Talk to us about HIPAA-compliant AI →
How we implement it
Every engagement starts with a PHI-flow and architecture review: where protected data lives, where it may travel, and what must never reach a model. We then design the guardrails — redaction and tokenization, role-based access, encrypted storage, audit logging — and roll the AI out in phases, with your clinicians reviewing its output from the first week. The result is AI your compliance officer can sign off on.
Who it is for
Healthcare providers, medical and therapy practices, and health-tech companies that handle PHI and want the speed of AI without the compliance risk.
Frequently asked questions
Is your AI HIPAA compliant?
Yes. We design healthcare AI so protected health information (PHI) is encrypted, access-logged to HIPAA §164.312(b) audit standards, and protected before it ever reaches an AI model.
Does the AI see raw patient data?
No. PHI is redacted or tokenized before requests reach the model, and AI access to clinical data is isolated behind read-only, logged interfaces.
Will AI replace our clinicians?
No. Our AI drafts and suggests; clinicians review, edit, and approve. Humans stay in control of every clinical decision.
Which AI models do you use?
We work with all the leading AI models — including OpenAI, Anthropic (Claude), and Google — chosen for each use case and always deployed in a properly configured, HIPAA-compliant way, so your data stays private and is never used to train the model.
Can you add AI to our existing EMR or practice software?
Yes. We build AI layers that integrate with the systems you already use — like the ambient scribe that drafts notes directly into American Physiatry’s EMR — so your team keeps its existing workflow.
What does a HIPAA-compliant AI engagement look like?
We start with an architecture and PHI-flow review, design the guardrails (redaction, audit logging, access controls), then roll out in phases with your clinicians reviewing AI output from day one.