# FaceUp vs NAVEX One: which do AI models recommend for whistleblowing, October 2026

HR AI Recommendation Index, October 2026 Edition, Whistleblowing and investigations. Seven of fourteen models named FaceUp first on the direct prompt; one named NAVEX One. Page: https://hr-ai-index.com/core/whistleblowing-and-investigations/faceup-vs-navex-one/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| FaceUp | 25% | #1 of 12 | 0% | 33 | 12 of 14 |
| NAVEX One | 8% | #3 of 12 | 22% | 36 | 14 of 14 |

## The direct prompt, model by model

- MiniMax M2.5: both first (first choices: FaceUp, NAVEX One) (alternatives: OneTrust EthicalTrack)
- Claude Haiku 4.5: faceup first (first choices: FaceUp) (alternatives: AllVoices, SpeakUp Report, VoxWel, Whispli)
- Gemini 3.5 Flash: faceup first (first choices: FaceUp) (alternatives: HR Acuity, Whistleblower Software, Whistlelink)
- Mistral Small: faceup first (first choices: FaceUp) (alternatives: AllVoices, Safecall)
- DeepSeek V4 Flash: faceup first (first choices: FaceUp) (alternatives: Case IQ, WeMoral, Whistleblower Software)
- Kimi K2: faceup first (first choices: FaceUp) (alternatives: EQS Integrity Line, Ethicontrol)
- Muse Glimmer 30B: faceup first (first choices: FaceUp) (alternatives: AllVoices, Case IQ, WhistleBlower Security)
- Perplexity Sonar: neither first, one named (first choices: Whispli) (alternatives: FaceUp, NAVEX One, Whistleblower Software)
- Grok 4.1 Fast: neither first, one named (first choices: Whistleblower Software) (alternatives: FaceUp, NAVEX One)
- Llama 4 Maverick: neither first, one named (first choices: Ordio) (alternatives: NAVEX One, NotMe, WhistleBlower Security)
- GLM 4.7 FlashX: neither first, one named (first choices: Whistleblower Software) (alternatives: EQS Integrity Line, NAVEX One, Whistlelink)
- GPT-6 Luna: neither first, one named (first choices: Case IQ) (alternatives: Ethico, HR Acuity, NAVEX One)
- GPT-5.4 mini: neither named (first choices: Whispli) (alternatives: Ethico, SpeakUp, Whistleblower Software)
- Qwen 3.7 Flash: neither named (first choices: Whispli) (alternatives: AllVoices, Ethico)

## What the models said about FaceUp

- "I'd recommend FaceUp as the primary choice — it hits the sweet spot of affordability, quick deployment, strong anonymity guarantees, and built-in case management" (DeepSeek V4 Flash, paraphrase prompt, first choice)
- "This platform is frequently highlighted for its ability to integrate hotline intake, triage actions, and investigator notes into a single case record." (Mistral Small, paraphrase prompt, first choice)
- "FaceUp stands out as the top choice due to its strong mid-market focus, comprehensive investigation tools, and positive user feedback" (Mistral Small, direct prompt, first choice)

## What the models said about NAVEX One

- "Avoid enterprise platforms like NAVEX (thousands per month)" (DeepSeek V4 Flash, budget prompt, hard negative)
- "Avoid NAVEX One unless you need the full GRC stack ... it can be disproportionately expensive and complex for mid-market needs." (DeepSeek V4 Flash, direct prompt, soft negative)
- "it is often not the best fit for a mid-market B2B company... expensive, the interface can feel outdated" (Gemini 3.5 Flash, direct prompt, soft negative)
- "NAVEX is the incumbent leader, particularly for public companies and organizations subject to strict regulations like Sarbanes-Oxley (SOX)." (Qwen 3.7 Flash, comparative prompt, first choice)
- "Best for: Large multinational enterprises requiring comprehensive compliance suites ... Industry-leading scale with 10M+ reports processed" (Kimi K2, comparative prompt, first choice)
- "The "Gold Standard" All-in-One: NAVEX One (EthicsPoint) ... its "One" platform scales well for mid-sized firms that plan to grow." (Qwen 3.7 Flash, paraphrase prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.