CompliGuard AI – Automated Compliance Solution for Healthcare Algorithms

AI-powered compliance platform for medical ML systems offering real-time auditing, bias detection, and regulatory documentation aligned with FDA/EU standards. Targets MedTech developers with Class II/III devices.

CompliGuard AI addresses the $2.1B medical AI compliance gap through automated documentation and bias monitoring. Designed for developers of surgical training systems and diagnostic tools, it reduces regulatory approval timelines by 40% while maintaining audit-ready status across 23 healthcare jurisdictions.

Core Functionality

  • Real-time decision tracking with blockchain audit trails
  • Automated FDA 510(k)/EU MDR documentation generator
  • Bias detection algorithms monitoring demographic parity
  • Interactive compliance dashboard with risk heatmaps

Target User and Segment

Primary customers: Medical AI startups (70%) and hospital IT departments (30%). Initial focus on US diabetes prediction tools ($340M segment) and EU surgical robotics compliance ($410M market).

Recommended Tech Stack

  • Python ML stack with TensorFlow Model Cards
  • Hyperledger Fabric for immutable logs
  • React-based compliance UI
  • AWS GovCloud HIPAA hosting

Estimated MVP Costs

€50k base development (500h @ €100/h):
• Compliance engine: 200h
• Regulatory templates: 120h
• Audit API: 150h
+ €10k for FDA pre-submission module

SWOT Analysis

  • Strengths: First specialized solution for AI medical devices
  • Weaknesses: Dependency on regulatory changes
  • Opportunities: Partnership with notified bodies
  • Threats: IBM Watson expanding into niche

First 1000 Customers Strategy

1. Co-marketing with AI annotation platforms (45% conversions)
2. Compliance hackathons for MedTech startups
3. Free audit reports for FDA pilot participants
CPA: €150 via LinkedIn surgical AI groups

Monetization Model

  • Tiered SaaS: €1.5k-€4.5k/month
  • Break-even at 187 customers (14 months)
  • Team: 3 compliance engineers + GRC specialist

Market Positioning

Differentiated through surgical AI templates vs IBM’s general health tools. Sales via MedTech conferences and co-branded whitepapers with EU certification bodies.

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