From AI Voice Detection to Biometric Authentication, Whispeak is built to secure voice and protect trust. Powered by models ranked at the top of independent global benchmarks.
Voice security specialist
We secure every
voice interaction,
detecting deepfakes, authenticating humans.
⚡️ No need for appointments or demo requests, test it yourself directly!
Independent proof · Deployed by industry leaders
Ranked at the top. Trusted by the industry.
#1 World
Speech Deepfake Arena
Hugging Face · Oct. 2025
#1
Cyber Challenge AMIAD
French Ministry of Defense · 2024
Top 4
ASVspoof · Interspeech 2024
Open benchmark · EER 4.16%
Our mission
Securing
Voice
Protecting
Trust
Two products. One team. World-ranked models.
What can we provide ?
Whispeak addresses two critical voice security challenges.
They often come as a pair.
01
AI Voice Detection
The most accurate AI voice detector you can deploy today.
Ranked #1 on the Hugging Face Speech Deepfake Arena. Validated by the French Ministry of Defense in open, operational conditions. Trained to detect voices generated by any synthesis model, including generators it has never been trained on. Works on phone-quality audio, recordings, live calls and media files. Detection in real time.
- ✓Top-ranked worldwide on independent benchmarks, not internal test sets
- ✓Most precise and lightweight model in its benchmark tier. Available as SaaS, on-premise or air-gapped deployment
- ✓Effective against any voice synthesis model, including those released after training
02
Voice Biometrics
The authentication that is faster, safer and smoother for your users.
No PIN. No security question. No friction. Callers are verified by a deep learning model that generates a unique voice embedding, a compact numerical representation of their vocal identity, optimized to distinguish one speaker from another. Security goes up. customer effort and authentication time drops to zero. Works with your existing telephony IVR, web and mobile applications.
- ✓Safer than passwords, PINs or security questions
- ✓Smoother experience for legitimate users, harder barrier for fraudsters
- ✓Built-in liveness detection catches replay and synthetic voice attacks
- ✓On-premise deployment, SaaS, air gapped available
Expertise in All Sectors
More Fluidity and Security for a Revolutionized Customer Experience
A call center should not have to choose between fluidity and security, and neither should customers! With Whispeak voice biometrics, authenticate your callers in seconds with their unique voice.
Enhance and Simplify Banking Interactions
Boost account security and reduce fraud with cutting-edge voice biometrics. Streamline authentication costs while delivering a seamless and rapid experience to your clients
Elevate Driving with Voice Biometrics
Transform every journey into a personalized and secure experience with advanced voice biometrics. Unlock your vehicle without keys and harness the full potential of voice commands for a truly seamless drive.
Secure Communications for Defense & Government
Protect every sensitive voice interaction against AI-generated impersonation and social engineering attacks. Validated by the French Ministry of Defense in open, operational conditions, and deployable on-premise and air-gapped for classified environments.
FAQ
Frequently asked questions
AI voice detection determines whether a voice is human or synthetically generated by an AI model. Whispeak processes the audio through a deep learning model that generates a representation of the signal, optimized to distinguish real human speech from synthesized audio — capturing patterns that are not directly observable by the human ear. The result, real or synthetic, is returned in under one second, with a confidence score and an explainability report.
Whispeak ranked #1 on the Hugging Face Speech Deepfake Arena in October 2025, and #1 at the Cyber Challenge organized by the French Ministry of Defense in 2024, in open operational conditions. Our model achieves 96.9% accuracy at 98.9M parameters, making it the most lightweight model in the top tier of independent benchmarks.
Voice biometric authentication verifies a caller's identity by analyzing their voice through a deep learning model that generates a unique embedding, a compact numerical representation of their vocal identity, optimized to distinguish one speaker from another. The caller records their voice signature during an enrollment session. On every subsequent interaction, a new embedding is generated and compared against the stored one in real time, with a verified or unverified verdict returned in under one second.
Yes. Whispeak is ISO 27001:2022 certified, the international standard for information security management. This certification covers the processes, infrastructure and controls around how we collect, store and process voice data, and is a key requirement for regulated sectors including banking, insurance and defense.
Yes. Whispeak is designed for real-time detection on telephony-grade audio at 8 kHz, the actual format of live calls, as well as audio streams from video conferencing platforms including Zoom, Google Meet, Microsoft Teams and Webex. Unlike solutions optimized for studio-quality recordings, Whispeak works in the conditions your infrastructure actually operates in. Results are returned in under one second per audio segment.
Most providers offer one or the other. Whispeak covers both from a single API. A synthetic voice that passes a basic voiceprint match can still be flagged as AI-generated by the detection layer. The combination closes the gap that single-product solutions leave open, and is one of the reasons Whispeak is deployed in regulated sectors including banking, defense and media.
