Case study

VertaaUX: Building an AI-powered UX audit platform

A SaaS platform that runs UX and automated WCAG 2.2 checks on a live site, with a median audit time of about 41 seconds.

uxAIAccessibilityProductSaaS

Live site Full case study on Digitaltableteur

Estimated reading time

Key metrics

Audit speed

P50 ~41s, P95 ~92s

40-90s

AI agents

specialized per audit dimension

15+

False positive rate

WCAG 2.2 compliance

<5%

Outcome

Shipped production platform delivering audits in 40-90 seconds with 15+ specialized AI agents
Achieved <5% false positive rate on WCAG 2.2 compliance checks through iterative calibration
Built SAML SSO, an API-first design and GDPR-compliant data handling

Role and scope

Founder - Product vision, AI/ML architecture, UX design, go-to-market

Constraints

Solo founder bandwidth
Competing against established accessibility tools
AI accuracy skepticism in enterprise market
Laws reference WCAG through standards such as EN 301 549, so findings must be precise
Enterprise security requirements (SOC 2, GDPR)

Top decisions

Multi-agent architecture over monolithic model
Accuracy over speed as north star metric
API-first design for CI/CD integration
Free tier to prove value before enterprise sales

Confidential details redacted where required.

Next step

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