Verda AI
Verda embeds imperceptible watermarks directly into AI-generated images, audio, and video, making provenance durable across re-encoding, cropping, and screenshots where metadata alone fails. The watermarks resolve through a public registry to the provider, system version, and generation time, and anyone can verify them for free without an account. The system integrates with three lines of code and works alongside signed C2PA manifests as a fallback when metadata is stripped.
- Regulatory & Compliance Technology
- Artificial Intelligence
- Software Only
- Blockchain & Cryptocurrency
- Content & Publishing
- Legal Technology
- Media & Entertainment
Funding
Raised to date
$189MRaised 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.
across 1 round
MS+4$189M · Series B
Announced Sep 2026 · from article date
Disclosed cumulative: $189M
Founders
Founder details are not available yet.
Product
Problem
Regulators in California, the EU, and India now require AI-generated media to carry durable, machine-readable provenance marks, but metadata alone is easily stripped during re-upload or compression. AI platforms face significant fines for non-compliance—including $5,000 per violation per day under California SB 942 and up to €15,000,000 or 3% of global turnover under the EU AI Act—yet most lack a technical solution that survives real-world content distribution.
Solution
Verda embeds an imperceptible watermark directly into the signal of AI-generated images, audio, and video, making provenance durable across re-encoding, cropping, screenshots, and telephony codecs. The watermark resolves through a public registry to the provider, system version, and generation time, and anyone can verify it for free without an account. The system integrates with just three lines of code and works alongside signed C2PA manifests, with the watermark serving as a fallback when metadata is stripped. Verda's algorithms are registered on the C2PA soft-binding algorithm list, ensuring interoperability with emerging industry standards. The company's three specialized encoders—Monet for images, Bach for audio, and Pompeii for video—are each built for how that medium is actually stored and transmitted. Verification is free and unlimited by design, aligning with both the EU Code of Practice and California SB 942 expectations for publicly available detection.
Target Audience
Primary customers are AI platforms generating or transforming media, including marketing content generators, AI avatar platforms, voice agents, AI call centers, video editing tools, and social media content tools that need regulatory compliance for synthetic media.
Features
- Three specialized watermark encoders: Monet for images (embedded across the pixel signal), Bach for audio (survives telephony codecs and re-recording), and Pompeii for video (embedded per frame and across time)
- Free, unlimited public verification via web links without requiring an account or permission
- C2PA manifest read/write support with watermark fallback for when metadata is stripped during re-upload
- Resolver maps watermarks to provider identity, system version, generation time, and unique identifier as required by SB 942
- REST API with POST /v1/watermark/decode endpoint for programmatic verification
- Designed to meet EU AI Act Article 50(2), California SB 942, and India's IT Rules marking and detection duties