
Resemble AI
Deepfake detection, AI agent detection, watermarking, and identity verification for voice AI.

Startup Program
Resemble AI offers selected builders between $500 and $30,000 in credits, with most grants designed to support a production-ready proof of concept. Recipients receive up to 12 months of access to the full suite of Resemble's detection models and APIs. The program also includes dedicated onboarding, beta feature access, and entry to Resemble's builder community. It is intended for companies building products with detection, watermarking, or identity verification built in that are not already paid Resemble customers.
About Resemble AI
Resemble AI: The Trust Layer for Voice AI
Resemble AI provides deepfake detection, watermarking, and identity verification for teams building with voice AI. Founded in 2019 as a voice generation company, Resemble spent years learning how synthetic speech is made, and now applies that expertise entirely to detection. Its APIs let voice agents verify who (or what) is on the other end of a call, mark AI-generated audio at the source, and help voice products meet emerging transparency and compliance requirements.
Key Features
Real-time deepfake detection: Detect synthetic speech in live calls and recordings with DETECT-World, benchmarked against 250+ generators, including zero-day coverage of new ones.
Agent detection: Determine whether your voice agent is talking to a human or another AI agent before spending time and tokens on the conversation.
Watermarking at the source: Embed imperceptible PerTh Multimodal watermarks into AI-generated audio, with C2PA support for verifiable provenance.
Identity verification: Enroll voices with consent and authenticate speakers against them.
Explainable results: Intelligence pairs every detection with a plain-language explanation your team or system can act on.
Fraud signals: Match calls against known fraud patterns with Signal.
Built for compliance: Support transparency requirements under the EU AI Act and California's SB 942. Resemble is a signatory to the EU's Code of Practice on Transparency of AI-Generated Content.
Developer-first: API-first architecture and SDKs, with cloud or on-prem deployment.
Use Cases
Voice agents that screen inbound callers for synthetic voices and other AI agents
Contact centers defending against voice-clone fraud and account takeover
Voice generation platforms watermarking output for provenance and compliance
Authentication flows with consent-based voice verification
Trust and safety teams flagging synthetic audio in user uploads
Meeting and communication tools guarding against executive impersonation
Model Selection
DETECT-World: Multimodal deepfake detection across audio, video, and image
PerTh Multimodal: Watermarking and C2PA provenance
Intelligence: Explainable analysis of detection results
Identity: Voice and likeness enrollment and authentication
Signal: Fraud pattern recognition and matching
Agent Detection: LLM, crawler, and agent identification
Getting Started
Website: resemble.ai
API & SDK: Developer Docs
Builder's Grant: Up to $30,000 in credits
Contact & Demo: Contact Resemble AI
Resemble AI helps voice AI teams build products people can trust, with detection, provenance, and identity built in from the first call.
Funding
$12M raised · 6 rounds

