What is Fakeradar?
FakeRadar.io protects your sensitive data by instantly detecting whether you’re speaking with a real person or a deepfake — in real time, with just one click. Stay confident in every conversation and be sure the person on screen is truly who they claim to be.
Problem
Users are vulnerable to data breaches and identity fraud during video calls due to inability to detect deepfakes in real time, relying on manual verification or outdated security measures that lack real-time analysis and accuracy.
Solution
A real-time deepfake detection tool integrated into video call platforms, enabling users to verify authenticity instantly via one-click analysis during calls. Example: Detects synthetic faces, voice cloning, and abnormal facial movements.
Customers
Business executives, cybersecurity teams, legal professionals, and remote workers handling confidential information via platforms like Zoom or Teams.
Unique Features
Real-time analysis without disrupting calls, one-click integration, compatibility with major video conferencing tools, and proprietary AI models trained on diverse deepfake datasets.
User Comments
Crucial for high-stakes negotiations
Prevented a phishing attempt during a client call
Seamless integration with Zoom
Occasional false positives during low-light calls
Essential for compliance in regulated industries
Traction
Launched 3 months ago with 1,200+ active users, $25k MRR, and partnerships with 2 enterprise cybersecurity platforms. Founder has 4.8k followers on LinkedIn.
Market Size
The global deepfake detection market is projected to reach $4.5 billion by 2027, driven by 900% YoY growth in synthetic media attacks since 2020 (Gartner).
