Data capacity
Embed rich identifiers and cryptographic references directly into audio — with up to 256 bits of payload capacity.
Enough capacity for agent, organization, deployment and session-level identity architectures.
Verifiable identity for the age of AI voice
Enterprises are rapidly deploying AI voice agents to talk to customers, make decisions, and act on their behalf.
But when an AI agent speaks, three fundamental questions remain unanswered:
There is no persistent, verifiable identity attached to the voice itself.
Verda gives every voice agent a verifiable identity tied to the enterprise that authorized it.
An agent may claim to represent your company. But who authorized it? What is it allowed to say or do? Is that authorization still valid?
Verda cryptographically binds the agent, organization, authorization, and session to its voice.
Regulators are beginning to require AI-generated audio to carry machine-readable signals that identify it as synthetic or AI-generated.
Verda provides persistent machine-readable marking designed to support EU AI Act and California AI transparency requirements.
Traditional identity systems stop at the edge of your infrastructure.
Verda binds identity to the audio itself.
The identity travels with the agent's voice through telephony networks, codecs, transcoding and re-recording — and can be recovered and verified on the other side.
So a recipient can verify not simply:
“This is AI.”
But:
“This is an authorized AI agent acting on behalf of this organization.”
Verda combines enterprise-controlled identity, cryptographic authorization and robust audio watermarking into a single trust layer for AI voice.
The enterprise controls the identity.
The agent receives a verifiable credential.
Each interaction can be bound to an agent and session.
Verda embeds that identity into the generated speech.
The identity survives the telephony stack.
The recipient can detect and verify it.
The identity belongs to you — not your model vendor, carrier or voice provider.
Identity infrastructure only works if the identity survives the real world.
Embed rich identifiers and cryptographic references directly into audio — with up to 256 bits of payload capacity.
Enough capacity for agent, organization, deployment and session-level identity architectures.
Verda's watermark is engineered to persist through real communication channels, including:
The identity stays with the voice after it leaves your infrastructure.
Authentication should not make an AI agent sound worse.
Verda is designed for high-fidelity, imperceptible watermarking, preserving natural speech while carrying persistent machine-readable identity.
World class team with researchers from MIT, Stanford and IIT.
Our team brings 15+ years of experience in audio, signal processing and machine learning.
Verda's technology is built specifically for the difficult intersection of audio quality, robustness, data capacity and real-world transmission.
Identity solves the trust problem.
Machine-readable provenance helps solve the compliance problem.
Verda is designed to help organizations and AI providers address emerging transparency requirements, including:
Article 50(2) requires synthetic audio to be machine-readably marked and detectable as artificially generated — that is the duty Verda handles. Article 50(1) separately requires that a person be told they are talking to an AI; that is a deployer duty Verda does not replace.
California establishes latent disclosure requirements for covered generative-AI providers, including provenance information and unique identifiers for generated audio.
Verda lets the same infrastructure support both agent authentication and regulatory provenance.
One signal. One identity infrastructure.
Most watermarking systems answer:
“Was this generated by AI?”
Verda goes further:
That is the difference between identifying AI content and establishing trust in an AI agent.
Verda is the identity and trust layer for AI agents.