Verified calls for the AI voice era
DeepMark embeds an imperceptible, machine-readable identity directly into AI-generated media
And moreMark AI-generated audio, image, and video
With an imperceptible, machine-readable signal, then detect it on demand with clear results. Built to support EU AI Act Article 50 transparency obligations and the Code of Practice's multi-layer approach.
Embed a verifiable, authorized-agent identity
Into live AI speech, so any receiver can confirm a call came from an authorized agent, surviving VoIP, codecs, and the phone network.
Embed once and verify anywhere
The same four-step flow powers both pillars. Whether you're marking generated media for compliance or authenticating a live AI voice.
Enroll an identity, an authorized voice agent, a model, a provider, or a content provenance record, and get a credential to embed.
DeepMark weaves an imperceptible, machine-readable signal into the audio, image, or video as it's produced. The output looks and sounds the same.
In a call, in your API, in the enterprise's infrastructure, or in the network, the signal is detected and its payload resolved, with clear pass/fail results, from as little as a few seconds of audio.
The payload resolves to what matters: "this is AI-generated and marked", or "this voice is an authorized agent", with signed evidence to back it.
Where verifiable media matters most.
The same embed-and-verify flow, applied where trust, or the law, makes it non-negotiable.
Banking & financial services
Fraud alerts, account servicing, collections, the calls scammers impersonate most. Verified calls give customers a reason to stay on the line.
Contact centers & customer support
Verified agents on every inbound and outbound call, embedded once at the platform level and checked on the enterprise side.
Healthcare & insurance
Authorization proven in the audio, plus a forensic identity payload for after-the-fact audit.
Compliance & content provenance
Imperceptible marking at generation, watermarks that link to certificates and provenance records, and detection that produces clear results.
Real-time watermarking has tradeoffs. We balance them all.
Latency, audio quality, robustness, capacity, and detection accuracy usually pull against each other. Holding them at once is the research moat.
No loss of quality
The voice sounds the same; the image and video look the same. The signal is imperceptible by design and embedded without degrading what your users experience.
Detection you can rely on
Detection built for real conditions: clear pass/fail results from short samples, even after compression, codecs, transcoding, and noisy phone channels.
Enough payload to carry an agent or session identity, a model or provider ID, or a durable pointer to a signed certificate.
Built and tested to survive the full path of a real call. VoIP, transcoding, codecs, compression, cellular networks, re-recording.
Under 2 ms of compute to watermark a second of audio. Fast enough for live calls. Around 30,000 seconds of audio per second of GPU time on an L40S. Designed to scale for GenAI workflows.
SDK, REST API, container, customer-cloud, or on-prem / VPC. For sensitive media, DeepMark runs inside your environment so content never leaves it.
Developer-first SDKs and a REST API.
Build marking, detection, and verification directly into your product through clean, unified SDKs and HTTPS endpoints. One consistent interface to every DeepMark model. Get to production with reference docs, code samples, and built-in integrity checks, from embedding to verification.
On a mission to make synthetic media verifiable by design
Our team spent years studying digital watermarking, producing state-of-the-art algorithms that even Microsoft, Meta, Sony, and Adobe couldn’t ignore. They cite our work as pioneering.
Learn more About UsOur trusted investors & growth partners
DeepMark is backed by investors and ecosystem partners who support deep-tech infrastructure, helping us carry six years of watermarking research into production systems for verifiable AI media and communications.
Contact Us
Built for Article 50 marking your customers can verify.
The EU AI Act's Article 50 requires synthetic audio, image, and video content to be marked in a machine-readable format and detectable as AI-generated. DeepMark gives you the marking, the detection to prove it, and the evidence to back it up.
Learn more EU AI Act 50Insights & updates from our blog
Our team writes about watermarking robustness, AI provenance and C2PA soft binding, Article 50, voice-agent authentication, and real-world deployment and benchmarking.
The Final EU AI Transparency Code Raises the Bar for Generative Audio
15.07.2026.
DeepMark’s Vigil Watermark Joins the C2PA Ecosystem
06.07.2026.
When Numbers Aren't Enough: Why We Built a Listening Tool
03.07.2026.
A DeepMark's Guide to C2PA: From Manifests to Soft-Bindings
15.05.2026.Frequently asked questions
Audio watermarking embeds an imperceptible, machine-readable signal directly into the audio waveform. The signal carries an identity payload designed to survive compression, editing, and re-encoding.
No. DeepMark's watermark is designed to be imperceptible, embedded below the threshold of human hearing and evaluated for perceptual quality throughout development.
Detection runs on streaming or recorded audio, with clear results from a few seconds of audio. Verification can run server-side or in your own infrastructure.
DeepMark provides the marking and detection layer for an Article 50 transparency workflow. It supports compliance, the legal obligation remains with the provider.
DeepMark marks audio, images, and video, including live streamed speech. Ask us about the specific formats and codecs in your pipeline.
No watermark is impossible to remove. Ours is built and tested to withstand realistic transformations, making removal difficult without noticeably degrading the content.
Through an SDK and a REST API, deployable in your cloud, VPC, or on-premises. Docs and code samples cover embedding through verification.
Marking embeds the watermark at generation time. Detection extracts and verifies it later, confirming origin, authenticity, and whether the content has been tampered with.
Yes. Request a demo, and we'll set up evaluation access so you can test embedding and detection on your own audio, images, and video.
The watermark is designed to survive standard re-encoding and lossy compression. We test against realistic transformation chains and publish measured results in an open benchmark.
Mark what you generate. Prove what you ship.
Compliance you can demonstrate today, and a path to verified AI voice your customers actually trust, both built into the media you already produce.