DuckDuckGoose
Developing an autonomous and transparent deepfake detection software that promises to tell the difference.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor | €0.0 | round |
| investor | €0.0 | round | |
| investor investor investor | €0.0 | round | |
| investor investor | €0.0 | round | |
* | €1.3m | Seed | |
| Total Funding | 000k | ||
| USD | 2022 | 2023 |
|---|---|---|
| Revenues | 0000 | 0000 |
| EBITDA | 0000 | 0000 |
| Profit | 0000 | 0000 |
| EV | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 |
Source: Dealroom estimates
Related Content
DuckDuckGoose is an AI company specializing in the detection of synthetic media, including deepfakes and other forms of online disinformation. The company was founded in 2020 by Tero Karras, a notable figure in the field of generative adversarial networks (GANs) and the lead author of several influential papers on style-based generator architectures (StyleGAN).
The firm provides solutions aimed at enterprises, governments, and media organizations to help them identify and combat manipulated digital content. Their technology analyzes images and videos to determine if they have been generated or altered by artificial intelligence. This service is crucial for sectors where trust and authenticity are paramount, such as in news reporting, financial services, and legal evidence. DuckDuckGoose operates on a B2B model, likely offering its detection capabilities through an API or a platform-as-a-service, generating revenue from subscriptions or usage-based fees from its clients who need to verify the authenticity of digital media.
Keywords: synthetic media detection, deepfake detection, disinformation, generative AI, content authenticity, AI security, digital trust, media verification, enterprise AI, computer vision