9 patents · 495 claims · 62 IC
One platform for every accessibility regulation.
ariada.ai is the only enterprise accessibility platform that scans every regulatory domain in one pass, fixes violations at source, gates them in CI, audits the AI that wrote them, scores them on a canonical scale, and certifies compliance for regulators.
Nine integrated capabilities
Each capability maps to a US patent application. Marketplace standalones (blamer.ai, clamper.ai, reverter.ai) ship one capability each. ariada.ai ships all nine under one contract.
J — Single-pass multi-domain scan
One scan emits WCAG 2.1/2.2, EAA, EN 301 549, Section 508, ADA Title II/III, DOS-lagen evidence.
A — Tiered LLM remediation
Cheap-to-expensive cascade emits source-code patches. Cache and reuse, framework-aware diffs.
B — CI/CD gate w/ policy DSL
Differential AI-vs-human thresholds. Blocks PR merge below budget.
C — Regression detection
Cross-deploy diff engine; clusters root causes; per-component trend.
D — Cross-tool canonical scoring
Normalizes axe / Lighthouse / Siteimprove / WAVE / Pa11y. Issues signed per-domain certificates.
F — PredOpt backlog optimizer
MIP + ML over backlog under sprint capacity, severity, dependency, and budget constraints.
G — AI authorship attribution
Identifies Copilot, Cursor, Claude Code, Windsurf, Devin. Methodology validated on 6.4M samples.
H — AI Artifact Audit (HAES)
Registry validates AI artifacts; emits EU AI Act Art. 50 evidence package.
K — Dracula visualization
Character-themed scanner visualization for stakeholder reports. Same engine as the draculascan.com viral demo.
"The only accessibility platform that scans every regulatory domain in one pass, fixes violations at source, gates them in CI, audits the AI that wrote them, and certifies compliance for regulators — protected by 9 patents."
Validation evidence (honest framing)
Patent G's multi-signal AI attribution methodology was cross-referenced against 6,439,303 code samples spanning 64 distinct AI models across 13 programming languages and 9 published datasets. All 7/7 Patent G claims were CONFIRMED with strong-to-very-strong evidence at scale. End-to-end ariada.ai classifier accuracy on production customer code is pending Q3-Q4 2026 pilots — we do not claim "validated on N customer sites."
Source: research/poc/patent-g/PATENT_G_POC_V3_REPORT.md.
See the Trust page for the full validation
record and patent register.
Pain → Solution → Savings
Per medium customer (50 devs). Sources: CodeRabbit (470 PRs), GitClear (211M lines), UsableNet H1-2025, EU AI Act Art. 50.
| # | Validated pain | Annual cost without ariada.ai | Savings with ariada.ai |
|---|---|---|---|
| 1 | Tool sprawl: 3-5 a11y tools, no integration | $300K-$1.2M direct + 1-2 FTE integration | $150-600K saved (D + J + dashboard collapse this stack) |
| 2 | EAA enforcement risk (active since June 2025) | DE €100K + FR €250K + SE €200K + IE criminal (18 mo) | De-risk via signed per-domain certs (D) + multi-domain (J) + audit trail (H) |
| 3 | EU AI Act Art. 50 non-compliance (mandatory Aug 2026) | up to €35M or 7% global turnover | Evidence package via H (HAES) — Art. 50 transparency record per AI artifact |
| 4 | AI code 1.7× bugs → backlog explosion | $500K AI-induced bugs + $1.5M rework | $250-625K saved (B differential + G attribution + A remediation + F optimizer) |
| 5 | ADA litigation (4,605 lawsuits 2024, 69% e-commerce) | $20K-$200K settlement amortized + $50-200K legal | Signed certs (D); insurance underwriting accepts cert |
Two ways forward
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Book a demo
30-minute scoping call, no slide deck. Bring one property URL and one regulator deadline. We scope a pilot off it.
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Read the PRD
The full umbrella product spec — problem, personas, capabilities, pricing, ROI, risks. Internal-link-only for now; founder is reviewing it for v0.2.