Clearspeed Voice Risk Assessment vs LumenVox Active Voice Biometrics

Clearspeed Voice Risk Assessment analyzes vocal characteristics during short automated yes-or-no questionnaires and returns an indicator of potential risk. The system evaluates the voice signal while a person responds, rather than judging the answer itself. Assessments can be completed by phone or web, and the company describes operation across web, call center, and chat channels in more than 60 languages. Results are returned in seconds through the Clearspeed application or directly to customer systems. Enhanced synthetic-audio analysis runs in every questionnaire and, according to Clearspeed, detects synthetic voice and known deepfakes within 300 milliseconds. The Integration API manages questionnaire participants and sends results through webhooks. Clearspeed says no personally identifiable information, personal identifiers, historical data, or external data are required to generate an indicator. The cloud service uses AWS-backed environments, TLS 1.3 encryption, role-based access workflows, and stated GDPR, California, ISO 27001, SOC 2, and NIST 800-171 alignment. Pricing is available on request.

LumenVox Active Voice Biometrics provides text-dependent voice authentication for enterprises seeking identity assurance beyond passwords, PINs, and security questions. Containerized microservices run on Kubernetes on-premises, in private or public clouds, or across hybrid environments. A deep-neural-network engine supports active, passive, and hybrid authentication. Enrollment and verification can use any passphrase and language supported by the corresponding ASR engine. Playback, liveness, synthetic-speech, and fraud-watchlist checks address presentation attacks. APIs create, retrieve, disable, re-enable, and remove identities and query enrollment status. Biometrics, Speech, Management, and Reporting APIs are exposed through gRPC and REST. Supported channels include contact-center IVR, smartphone and web applications, desktop applications, virtual assistants, video calls, messaging platforms, and conversational AI. Enrollment requires at least three separate utterances. Audio must be headerless base64 PCM-16, A-law, or μ-law at 8 kHz. Data is encrypted at rest and in transit, with customer-controlled keys and TLS between components. Pricing is on request.