🧠 Built an AI That Answers HIPAA Questions — Can This Go Billion+?
I’ve built a working prototype called CompliAssistant™ — an AI assistant that helps healthcare startups and clinics stay HIPAA-compliant without lawyers, long documents, or mistakes.
⚙️ Behind the scenes:
💥 The problem? HIPAA is a monster. Most health startups ignore it until it bites.
💡 The opportunity? There are 2M+ small clinics, SaaS tools, and devs who want to build in health but fear regulation.
This is step 1 in a broader AI compliance platform (GDPR, SOC 2, PCI-DSS, etc.).
🤖 What I need from this group:
Would YOU trust AI for regulated compliance? If not, what’s missing?
What would make this feel 10x more legit to you or your customers?
Anyone here built something similar? How did you break into the B2B world?
Not a pitch — I’m genuinely trying to go from prototype to billion-pound+ company, and I’d love brutally honest feedback from folks building in AI.
If you want to test it, DM me or reply — happy to share early access.
— Kai | Builder of CompliAssistant™
Hi ,
One thing worth flagging before you go too deep into MVP: HIPAA compliance for AI isn't just about server choice. The architectural landmines are in PHI tokenization before your LLM call, row-level audit logging with retention policies, BAA-aware third-party integrations (your email provider, error monitoring, analytics — all need BAAs), and access control that survives a SOC 2 audit.
These decisions made wrong in MVP cost six figures to unwind post-Series A. Made right from day one, they become a competitive moat.
HiQByte has built regulated-data architectures for early-stage products. Architecture-first, consulting-first. Not just feature delivery.
Worth a 30-minute call to map where your current stack sits against what your first healthcare enterprise customer will actually verify?
Harsh | HiQByte
hiqbyte @gmailcom