B

Pharmaceutical AI Audit Trail Archiver

3.20

Derivation Chain

Step 1 Pharma 5.0 AI in manufacturing processes
→
Step 2 Pharma AI validation document generation demand
→
Step 3 Post-validation operational phase audit trail management

Problem

SME pharma companies (50-150 employees) with AI in manufacturing manually compile audit trails—AI model input/output logs, drift monitoring results, retraining history—for regular GMP inspections, requiring 2-3 weeks and 1-2 dedicated staff per inspection. Missing trails result in corrective action orders or AI usage suspension, dropping process efficiency by 15-20%.

Solution

Auto-collect AI model inference logs, drift metrics, and retraining history to continuously generate audit documents in GMP audit format. Pre-inspection auto pre-check warns of missing items in advance, and a read-only portal is provided for auditors to review.

Target: QA and IT staff at SME pharma companies (50-150 employees) with AI in manufacturing processes
Revenue Model: SaaS monthly subscription 150,000 KRW/month (~$112) for up to 3 AI models, additional models 30,000 KRW/month (~$22.50) each. Pre-inspection pre-check report 50,000 KRW (~$37.50) per transaction
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
3.0/5
R Realizability
3.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (67%)

Tech Complexity
24.0/40
Data Availability
23.1/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (56/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
5.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Backend [medium] Frontend [medium] Data Pipeline [medium]
Dashboard