Comparison
Aether vs the field
How the trust layer for AI compares to retrieval-grounding, evaluation, and data-cleaning tools.
| Capability | Aether The Truth Layer for AI | Vectara | Galileo | Cleanlab |
|---|---|---|---|---|
| Detection method | 3-model tribunal (proposer→critic→verifier) + red-team | Retrieval grounding (RAG) | Evaluation + observability | Data-centric ML cleaning |
| Real-time hallucination flagging | Yes — inline, mid-conversation | No (grounding score only) | Post-hoc eval | No (dataset-level) |
| Accuracy (benchmark) | 91/100 trustworthiness, AUC 1.0 | Grounding-focused | Metric-based | Data-quality scores |
| Latency | ~5s fast path | Fast | Variable | Batch |
| End-user accessibility | One-click verify button + Chrome extension | Developer API | Developer platform | Data team tool |
| Chrome extension | Yes — ChatGPT, Claude, Gemini, Copilot | No | No | No |
| Public model leaderboard | Yes — daily | No | No | No |
| Pricing (entry) | Free — 500 verifications/mo | Usage-based | Custom | Custom |
| Verifiable warrants | Yes — signed, auditable | No | No | No |
Positioning
Aether is the only layer that sits inside the conversation alongside any LLM, turns each answer into a warranted trust score in seconds, and ships a one-click verify button for end users — not just developers.
Comparison reflects publicly documented capabilities of each platform as of 2026. Aether trust scores are vendor claims pending independent third-party audit — see our methodology.