DeepMark provides an invisible, permanent watermark that embeds high‑capacity metadata into AI‑generated audio, image, and video content without affecting quality. The robust identifier survives compression, editing, and AI‑driven alterations, enabling platforms and creators to verify provenance, ensure regulatory compliance, and protect digital trust at scale.
Funding
$878.6K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Regulators are mandating that synthetic media—such as AI‑generated images, videos, and audio—must be identifiable to prevent misinformation and protect intellectual property. Existing watermarking methods either degrade media quality, embed limited metadata, or can be removed through compression and editing, making compliance and attribution difficult at scale.
Solution
DeepMark provides an invisible, permanent digital identifier that is embedded directly into AI‑generated content without affecting its visual or auditory quality. The technology uses a high‑capacity watermark that packs extensive metadata into a minimal footprint, enabling detailed provenance, ownership, and usage information to travel with the asset. Its robustness ensures the identifier survives typical transformations, including compression, editing, and even AI‑driven manipulations, allowing platforms to verify authenticity automatically. By delivering traceable IDs at the speed required for large‑scale generative workflows, DeepMark helps organizations meet compliance requirements and maintain accountability for synthetic media.
Target Audience
Primary customers are media platforms, content creators, and enterprises that generate or distribute AI‑generated audio, image, and video assets and need to ensure regulatory compliance and protect digital trust.
Features
- Imperceptible watermark that leaves audio, image, and video quality unchanged
- High‑capacity metadata embedding, allowing rich provenance data in a compact form
- Extreme robustness against compression, editing, distortion, and AI‑based alterations
- Persistent, tamper‑evident identifiers that remain detectable throughout the content lifecycle
- Scalable integration suitable for high‑volume generative AI pipelines