Voice AI Alignment Licensing

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Tell us about your deployment

 

 

 

These questions are designed to assess alignment fit, deployment risk, and licensing scope. Precise answers allow us to match you with the correct tier, dataset access, and onboarding protocol. 

 

 

 

Please complete the form so we can determine fit and availability for you.

Complete in ~5 minutes.

                                                                                 

Contact Name *
Email *
phone number *
Your Company *
Your role/title *
What is the primary deployment environment for this voice AI system? *
What is the projected scale and interaction density of this deployment? *
Is this deployment subject to AI transparency disclosure or auditability requirements? *
Will this asset serve as a Primary Tonal Baseline for a native audio-reasoning model, or as a High-Trust Reference for a traditional fine-tuning pipeline? *
How is your system currently syncing tonal intent with visual or contextual inputs? *
At what stage of the inference cycle are you observing the greatest divergence between Technical Naturalness (MOS) and Perceptual Trust? *
Which failure mode is this licensing engagement primarily intended to neutralize? *
How would you rate your model's current vulnerability to Tonal Sycophancy during high-stakes user disagreement? *
Do you have an established Uncanny Valley recovery protocol for cross-modal mismatch events in live deployment? *
Has your model been red-teamed specifically for prosodic manipulation - where tone influences behavioral compliance independent of linguistic content? *
Do you require a specialized TonalityPrint™ dataset for internal perceptual-alignment benchmarking and safety-clearance validation? *
What is your current perceptual alignment methodology for validating tonal alignment across demographic listener cohorts? *
Is your deployment single-modal (voice only) or cross-modal (voice + text + avatar/visual output)? *
What is your current fallback protocol when model confidence drops below threshold mid-interaction - and does it preserve tonal continuity? *
Anything else we should know about your system or goals?