What is Scam AI ?
API-first solution combining NLP/visual/audio authentication. Detect synthetic media and malicious intent patterns.
Problem
Users currently rely on manual methods to identify scams, which can be time-consuming and often inefficient.
Manual methods to identify scams are susceptible to human error and lack the ability to quickly process large volumes of data.
Solution
An API-first solution that leverages advanced technologies.
Users can detect synthetic media and patterns of malicious intent using a combination of NLP, visual, and audio authentication.
Detect synthetic media and malicious intent patterns
Customers
Security specialists, fraud analysts, and businesses in need of scam detection tools.
Companies looking to enhance their cybersecurity measures and prevent fraud.
Unique Features
Combines multiple authentication methods (NLP, visual, audio) for multi-layered scam detection.
API-first approach facilitates easy integration into existing systems.
User Comments
Very helpful in detecting complex scam patterns.
The multi-layer approach is unique and effective.
Easy integration with existing security infrastructure.
Cutting-edge use of NLP for scam detection.
Could improve user interface for better accessibility.
Traction
Recently launched on ProductHunt.
Early-stage product, specific metrics on users and revenue not disclosed.
Market Size
The global fraud detection and prevention market was valued at approximately $19.5 billion in 2020 and is projected to reach $63.5 billion by 2025.
