Helping you build innovative medical technology without the regulatory guesswork
A Smarter Regulatory Approach for Digital Health, SaMD, and AI/ML Products
Startups building software-driven and AI-powered healthcare tools don’t usually have regulatory experts on the founding team—and that’s okay. We work with early-stage teams to demystify the regulatory process, translate it into clear action steps, and help you build only the documentation and structure you need at your current stage.
Think of this as a lightweight, cost-effective alternative to committing early to expensive QMS platforms. Before you invest in tooling, we help you understand what regulators actually expect, what can wait, and how to build intelligently step-by-step as your product evolves.
This approach is ideal for teams developing AI-enabled diagnostics, clinical decision support tools (CDS), ML-driven imaging analysis, predictive analytics engines, remote patient monitoring software, and other cutting-edge digital health tools.
Our Services
-
Get clarity fast. Whether you bring us a pitch deck, a concept note, or an early prototype, we map your product to the correct regulatory pathway in plain language, saving you weeks of uncertainty and preventing costly missteps before fundraising or development begins.
Includes:
FDA/Health Canada/EU classification
SaMD/IMDRF risk category
Predicate device or reference standard analysis for FDA 510(k) submissions
Early red flags for AI/ML features
Regulatory roadmap with realistic timelines
Perfect for AI diagnostics, CDS tools, ML-enabled imaging analysis, DTx, and cloud-connected software.
-
Your pre-QMS blueprint, right-sized for startups. Most early-stage teams don’t need a full QMS, but they do need structure. We build a simple, founder-friendly compliance plan that connects:
What you're building
What regulators expect (FDA, Health Canada, EU MDR/IVDR, UKCA)
What risks matter
What documentation protects your product
Which controls you need now vs later
This avoids premature investment in enterprise QMS systems and helps you build only what’s appropriate for your maturity level.
-
AI is where strong products often hit regulatory friction. The FDA is still finalizing guidance on how to evaluate continuously learning models, adaptive algorithms, and ML-enabled decision support. We help you navigate this evolving landscape with confidence.
We help you:
Frame AI features in ways that align with current FDA thinking
Build evidence strategies for model performance, robustness, and bias
Create documentation that speaks FDA and IMDRF language
Avoid accidental up-classification or additional scrutiny
Understand and apply Good Machine Learning Practice (GMLP)
This is ideal for computer vision imaging tools, predictive analytics models, triage algorithms, AI radiology tools, real-time inference engines, and other ML-enabled devices.
-
Only what you need, nothing you don’t. We create high-quality, audit-ready documentation built for modern software teams, not legacy device manufacturers.
Support includes:
Software requirements & architecture (IEC 62304)
Risk management (ISO 14971)
Traceability matrices (requirements → risks → verification)
Design documentation for AI/ML and SaMD
Clinical claims & intended use alignment
Evidence plans for algorithm performance testing
ISO 42001 / AI governance guidance
Labeling, UX risk factors, and IFU review
You get pragmatic, lean documents, not bloated templates copied from hardware devices.
-
When you're ready to file, we prepare and refine everything you need for a smooth review cycle.
Support includes:
FDA 510(k) submission drafting
Health Canada MDL applications
EU MDR / IVDR technical documentation
Pre-submission meeting packages
AI/ML evidence packages and model performance documentation
Responses to regulator questions
Clinical evaluation strategies (SaMD)
Your early investments in clarity and documentation pay off here, producing faster, cleaner submissions.
-
Some teams need ongoing guidance but aren’t ready for a full-time regulatory hire. We act as your fractional regulatory lead, supporting you through rapid development cycles.
We provide:
Design control guidance during sprints
Review of new features (especially AI-related changes)
Documentation oversight and continuous improvement
Risk assessments for product decisions
Support for investor diligence and board communication
You get continuity, clarity, and expertise, without the overhead of a full-time RA role.
Who we support
We specialize in supporting teams building:
AI-enabled diagnostic software
Clinical decision support tools (CDS)
Machine-learning medical imaging and computer-vision analysis
Digital therapeutics (DTx)
Predictive analytics platforms
Cloud-connected medical software
Remote patient monitoring systems
Algorithmic triage tools
Real-world data and evidence platforms
If your technology pushes healthcare forward, we’re structured to support you.