Yella offers a suite of products to secure phones against communication fraud. It includes tools like Sloka for cloned audio detection, Chitra for cloned pic detection, and TruSpeaker for on-device audio fraud detection. The product also includes a spam arrest filter for texts and Spam Caller ID to block spam calls using a frequently updated database.
Flagship ZeroShot 100% accurate cloned audio detector that is server based, identifying and flagging artificially generated audio.
AI-powered server based tool designed to detect cloned pictures with 100% accuracy.
A 100% on-device iOS app for detecting cloned audio, ensuring real-time protection against audio fraud.
On-device iOS app for cloned picture detection ensuring privacy and security by processing data locally.
Real-time detection of cloned video and pictures on device, enhancing media authenticity.
Utilizes LLM to filter spam text messages on-device, moving harmful messages directly into junk without notification.
Uses a frequently updated FTC verified database to automatically identify and block spam calls in real-time.
Supports various AI voice cloning tools.
Details any size or count restrictions for TruSpeaker.
TruSpeaker flags certain AI generators.
Provides the latency details of TruSpeaker.
Discusses the privacy of audio recordings.
Can flag GenAI altered videos.
Can flag GenAI altered pictures.
Able to manage various types of media content.
Restrictions on video length or size processed by TruVideo.
This feature highlights the ability to flag deepfake audio that has bypassed YouTube's filters, showcasing the tool's accuracy and efficiency in detecting cloned audio.
The tool can identify audio cloned by platforms like ElevenLabs and assess the authenticity of the speech, even in scenarios with artificial background noise.
The site claims a 100% accuracy rate in detecting deepfakes (0% EER), making it extremely reliable for users wanting to authenticate audio content.
Spot fake digital images created or manipulated by AI technologies such as deepfakes.
Display side-by-side comparisons of genuine and fake images for easy identification.
Loads ML model once on startup per thread, uses cached model on GPU, runs on A100 GPU in AWS. This improves scalability and performance by reducing model load times.
Processes audio and pictures in real-time; 15 ms for pictures and 81 ms for audio. This feature ensures quick processing with low latency.
Uses less than 1GB RAM and scales linearly as the batch size increases. This optimizes resource usage, making it economical for larger processes.