Proprietary AI Models: Trained on diverse datasets to detect even the most sophisticated synthetic voices.
Continuous Learning: Models evolve to stay ahead of emerging deepfake techniques.
Real-time Detection: Instant analysis to block deepfake threats before they spread.
OUR SOLUTIONS
#1 Solution Worldwide
AI Voice Detection
Whispeak delivers the most advanced solution to detect and stop audio deepfakes in real time.
Our proprietary AI models, validated in international competitions, guarantee unmatched accuracy and robustness against the most sophisticated synthetic voices
LIVE · whispeak.detect
LATENCY 0.4 s
CONFIDENCE 99.2%
· REAL-TIME ANALYSIS
Ai voice detected
Authenticated
International recognition
Expertise recognised worldwide.
Our AI voice detection solution has ranked at the top three times across leading benchmarks, from academic competitions to contests run by the French Ministry of Armed Forces.
Ranked #1
#1 Worldwide
Speech Deepfake Arena
Hugging Face · October 2025
#1
Cyber Challenge AMIAD
French Ministry of Armed Forces · 2024
Top 4
ASVspoof · Interspeech 2024
Open benchmark · EER 4.16%
Institutional partners
Prestigious partners.
We develop our technologies alongside leading defence and research organisations that fund and validate our approach, lending credibility and operational rigour to everything we build.
Direction Générale de l'Armement
Agence de l'Innovation de Défense
IRISA · UMR CNRS
Laureate of the RAPID programme (Dual Innovation Support Scheme) awarded by the DGA to fund R&D on our synthetic voice detection engine.
How Does Whispeak AI Voice Detection Work ?
No infrastructure rebuild required. No preprocessing on your side. Whispeak fits into what you already run.
Advanced Technology
Efficiency & Scalability
High Accuracy, Low False Positives: Industry-leading performance validated in global competitions.
Zero-Day Coverage: Protection against new, unseen deepfake methods.
Flexible Deployment: API-first approach for cloud or on-premises integration.
Adapted to Real-World Use Cases
Media & Broadcasting: Guarantee authenticity of interviews and audio content.
Banking & Security: Prevent voice-based fraud and protect sensitive data.
Public Institutions: Strengthen trust by ensuring only genuine voices are broadcast or recorded
The Whispeak Method to Master Deepfake Voice Detection
We provide advanced tools for detecting deepfakes voices, providing effective protection against AI threats.
Our solutions ensure enhanced security and increased trust in voice interactions.
Proprietary Fusion Engine
Our unique multi-model engine combines spectral, acoustic, and deep learning features for unmatched robustness.
This hybrid approach consistently outperforms single-model detectors in real-world scenarios.
Continuous Adaptation
Our models are constantly retrained with diverse, proprietary voice corpora to anticipate new attack methods.
This ensures long-term resilience against rapidly evolving synthetic voice technologies.
Audit & Compliance Ready
Every detection comes with explainable indicators and detailed reports.
This transparency strengthens editorial decisions, legal defenses, and regulatory compliance.
FAQ
Frequently asked questions
Whispeak is ranked #1 on the Hugging Face Speech Deepfake Arena (Oct. 2025), the leading independent benchmark for synthetic voice detection, and #1 at the Cyber Challenge organised by the French Ministry of Armed Forces in 2024, under real operational conditions. Our model achieves 96.9% accuracy with only 98.9 million parameters, making it the most accurate and lightest model in the top tier of global benchmarks.
Whispeak works across all audio channels: phone calls, video conferencing platforms (Zoom, Google Meet, Microsoft Teams, Webex, etc.), audio and video recordings, and content published on social media. Detection can be performed in real time on a live stream or asynchronously on an uploaded file.
Yes. The model is designed to generalise to new speech synthesis models, including those that did not exist at training time. This is one of its key advantages over signature-based solutions, which are inherently limited to known tools.
Yes. Whispeak is available as an on-premise deployment and in air-gapped environments, fully isolated from any external network. No audio data is ever sent to our servers. This deployment mode is used by defence and government organisations.
Most integrations are up and running in under a day via the REST API. No infrastructure overhaul is required. The API returns a structured JSON response compatible with any existing system.
