Reality Defender, a startup dedicated to detecting deepfakes and AI-generated content, recently closed a successful Series A funding round, raising $15 million. Led by DCVC, the funding will support the expansion of Reality Defender's team and enhance their AI content detection models. The company's primary goal is to stay ahead of emerging AI-generated threats and continuously adapt to new methods and models.
Deepfakes and AI-generated content have become increasingly prevalent, raising concerns about their potential misuse. Deep Media, a competitor of Reality Defender, reported a significant surge in the volume of video deepfakes and voice deepfakes posted online. The ease of access to generative AI tools has led to more incidents of malicious deepfake campaigns.
Reality Defender offers an API and web application for detecting a range of deepfakes and AI-generated media, including videos, audio, text, and images. They claim to achieve a higher deepfake accuracy rate than their competitors, using "proprietary models" trained on real-world data, not just laboratory settings. The company emphasizes the importance of an ensemble of deep learning detection models that focus on various methodologies.
Detecting deepfakes is a complex task, and even well-known companies like OpenAI have faced challenges with their detection tools. Reality Defender's approach aims to mitigate biases in its algorithms by incorporating diverse accents, skin colors, and other varied data into its detector training data sets.
Despite growing competition in the deepfake detection software market, Reality Defender boasts a robust customer base, including governments, financial institutions, media corporations, and multinationals. The company plans to introduce an "explainable AI" tool that allows customers to scan documents and view color-coded paragraphs of AI-generated text. In addition, they are working on real-time voice and video deepfake detection tools for call centers and other applications.
Reality Defender's successful funding round reflects the growing need for effective deepfake detection in an era of increasing AI-generated threats. The company's proactive approach to continuously improving its detection models and mitigating biases demonstrates its commitment to maintaining its position in the deepfake detection software market. This technology helps safeguard the integrity and reputation of businesses, media organizations, governments, and many other entities.