Trust
Methodology validated at scale on public corpora; production accuracy pending Q3-Q4 2026 customer pilots. Honest framing, not marketing inflation.
IP & defensibility
ARIADA is built on a 9-module integrated platform. Module-by-module IP-portfolio status, prosecution roadmap, and conversion deadlines are disclosed for accredited-investor due diligence at /investors/legal. This Trust page focuses on validation evidence, security posture, and self-conformance.
Validation evidence
AI authorship attribution PoC v3.0 (March 2026). Methodology cross-referenced against 6,439,303 code samples spanning 64 distinct AI models (Llama, Qwen, DeepSeek, Gemini, Phi, GPT-4, Claude, IBM Granite, StarCoder, …) across 13 programming languages and 9 published datasets (AICD-Bench T1/T2/T3, DroidCollection, CodeMirage, GPTSniffer, DevGPT, SWE-bench, Stack Overflow Survey). All seven research claims CONFIRMED with STRONG-to-VERY-STRONG evidence at scale.
Three confirmed findings
- Multi-signal detection necessary. Single-feature classifiers (e.g. code length alone) are insufficient — Cliff's δ 0.07-0.28 (negligible-to-small effect size across 6M+ samples). The attribution module's multi-signal architecture is necessary, not optional.
- Per-model fingerprinting feasible. Distinct line/character/stdev signatures per LLM (e.g. o3-mini avg 169.9 lines vs llama3.3 avg 83.2 — a 2× difference). Enables per-tool quality scoring on customer codebases.
- AI adoption is exponential. DevGPT corpus shows 145% growth in 77 days (Spearman rs = 0.98, p < 0.001); power users dominate (Gini 0.68 — top 7% of authors produce 41% of AI commits).
Honest framing
The PoC validates the methodology at scale on public corpora. End-to-end ariada.ai classifier accuracy on production customer code is pending Q3-Q4 2026 customer pilots (PoC v4.0 in scoping). We do not claim "validated on N customer sites today."
Backlog optimizer + multi-domain scan research record
- Backlog optimizer (PredOpt). arXiv methodology paper scheduled for Q2-Q3 2026.
- Multi-domain scan differentiation analysis (2026-04-17). Cross-referenced Siteimprove estate (US 11,995,091, US 11,409,832, App-Pub 2019/0073365). Siteimprove is multi-modal on one regulatory domain; ARIADA's multi-domain scan covers multiple regulatory domains in a single pass — architecturally distinct. Q2-2026 review confirms the Feb-2026 Siteimprove release does not collapse the distinction.
For investor due-diligence sources and the full IP-portfolio register, see /investors/legal.
Security & compliance footprint
- SOC 2 Type II — in flight (Phase 2 target Q4 2026)
- ISO 27001 — planned (Phase 3)
- GDPR Article 28 DPA — available
- EU residency by default — Hetzner FSN1 + HEL1; Phase 2 multi-region
- EU AI Act Article 50 — HAES emits the Art. 50 evidence package per artifact
- EAA / WCAG 2.2 AA — this site is itself axe-clean (cobbler's-shoes rule)
- Append-only audit ledger — tamper-evident hash chain, daily Merkle anchor
Risks (honest framing)
Top risks from the umbrella PRD §14, abridged. Full risk register lives in the internal product spec.
| # | Risk | Impact | Mitigation |
|---|---|---|---|
| 1 | Enterprise sales cycle (180-360d) > runway | Critical | Land-and-expand from blamer/clamper Pro; partner agency program; founder-led outbound to 50 named accounts |
| 2 | Incumbent (Deque, Siteimprove) adds 1-2 ariada.ai capabilities | High | 9-module integrated platform means single-capability copy non-fatal; arxiv-monitor weekly + competitor quarterly |
| 4 | Pilot accuracy below 80% canonical scoring agreement | High | Phase 1 limited to high-confidence rule mappings; iterative D-weight tuning; manual override |
| 7 | LLM cost overrun on Tier-2/3 remediation | Medium | Tier cascade + cache + similarity reuse; per-org budget; auto-downgrade; dual-vendor |
| 8 | Founder bandwidth — 1-2 ppl can't ship 6 capabilities + sales | Critical | Phase 1 narrowed to 6 capabilities, not all 9; build-prompts dispatched in fresh sessions |
| 10 | IP-litigation posture (AudioEye 10-K aggression) | Critical | Filed-IP portfolio covering nine platform modules (detail) + Evinced / AudioEye prior-art scans + threat-triage; PCT on time; design-around reserve |
Cobbler's shoes
ariada.ai detects accessibility violations. ariada.ai itself must be impeccable. Every page on this site is checked with axe-core (zero violations target) and Lighthouse (a11y score 100). If you find an accessibility issue, email a11y@ariada.ai and we will fix it.