FDA's own 2025 CDER report shows it met its PDUFA goal dates 96% of the time — but an independent RBC Capital Markets analysis found the quarterly approval rate fell to 73% in Q3 2025, down from 87%. RegPath AI is the 82-page business blueprint for building the AI-powered regulatory-intelligence and submission-readiness SaaS that helps biotech regulatory teams catch the gap between those two numbers — before it becomes a Complete Response Letter.
"RegPath AI never predicts or guarantees an FDA outcome. It surfaces cited, confidence-scored findings for a qualified regulatory affairs professional to review — every finding, every time."
The gap isn't a shortage of regulatory expertise — it's the missing connective layer between a fast-moving guidance landscape and a submission draft built by a dozen contributors over many months.
Regulatory teams track FDA guidance manually — spreadsheets, email digests, and episodic consultants that don't cross-reference the company's actual submission.
Submissions are built by many contributors over months — doses, study numbers, and safety figures drift out of sync between modules without anyone noticing.
The traditional readiness review happens weeks before filing — too late to fix anything cheaply, let alone systematically.
Generic AI chat tools have no regulatory grounding, no citation discipline, and no audit trail — not something a risk-averse regulatory buyer can trust.
Continuous FDA guidance monitoring, connected directly to an AI-assisted, human-reviewed audit of the company's own IND/NDA/BLA drafts — never a prediction of what the FDA will decide.
Not an FDA-approval predictor · Not an autonomous regulatory decision-maker · Not a replacement for regulatory affairs professionals · Not legal, financial, or regulatory advice.
45 chapters across 45 parts, mirroring the ebook's actual table of contents — from the FDA predictability data to a 12-slide investor pitch.
Ch. 1–3 — The regulatory-delay problem with sourced FDA/analyst data, ten detailed buyer personas, and a full Jobs-to-Be-Done framework.
Ch. 4–7 — All seven core modules including the flagship AI Submission-Readiness Audit, the AI architecture and hallucination-prevention design, and the regulatory intelligence pipeline.
Ch. 6, 8–9, 15–17 — Full MVP architecture, product UX for 16 screens, security/compliance controls (SOC 2, 21 CFR Part 11, GxP), AI governance, and legal positioning.
Ch. 11–12, 27–29 — Per-seat pricing strategy, illustrative unit economics, KPIs, a 3-year financial projection, and a funding roadmap from bootstrap to Series A.
Ch. 18–24, 30–37 — Go-to-market strategy, sales scripts, onboarding, a 12-slide pitch deck, landing-page & sales copy, a 90-day content plan, and the 10-step implementation playbook.
Ch. 38–45 — What not to build, the one-person startup version, the Concierge MVP bridge to SaaS, fictional sample reports/dashboards, brand development, the business moat, plus the AI Prompt Library, worksheets, and appendices.
RegPath AI's blueprint is written for a founder building a regulated B2B SaaS, and it stays grounded in the real regulatory affairs teams that product would serve.
Someone seriously considering building a regulatory-intelligence or compliance SaaS and wanting a complete, realistic operating plan.
VPs, Directors, and Managers who want a fully worked example of buyer personas, product architecture, and a go-to-market plan for this exact category.
Engineers and AI/ML builders who want the exact architecture pattern — RAG-grounded retrieval, a rules engine, and permanent human review as a design constraint.
Anyone evaluating a regulatory-intelligence SaaS pitch who wants a rigorous, honest reference for what a well-built, well-governed one should cover.
RegPath AI: The Complete Business Blueprint
One-time payment · Instant PDF download · 82 pages
Get Instant Access — $12.99This is a one-time ebook purchase, not a subscription. Chapter 11 inside covers the recommended product's own per-seat annual SaaS pricing strategy for RegPath AI the platform — a separate number from this ebook's price.
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