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Resemble AI

Category: Voice / Speech AI

A dual-platform generative voice AI and multimodal deepfake detection company that enables enterprises to create ultra-realistic synthetic voices while simultaneously protecting against AI-generated audio, video, and image threats. Resemble AI was founded in 2019. The company is led by Zohaib Ahmed. Based in San Francisco, United States. Team size: 30-40. Total funding raised: $25.0M. Latest round: Strategic Round ($13.0M, Dec 2025). Key investors include ["Javelin Venture Partners","Comcast Ventures","Craft Ventures","Google AI Futures Fund","Sony Innovation Fund","Okta Ventures"].

Founded
2019
Headquarters
San Francisco, United States
Team size
30-40
Total funding
$25.0M

Value proposition

Provides the only unified platform that enables enterprises to create production-quality AI voices while simultaneously defending against deepfake threats, offering 99.8% detection accuracy across 38+ languages with on-premises deployment options for maximum data security.

Products and solutions

["Chatterbox - Open-source generative voice AI with zero-shot cloning (22.5k+ GitHub stars, MIT licensed)","DETECT-3B Omni - Multimodal deepfake detection for audio, video, and images (99.8% accuracy)","PerTh Watermark - Neural audio watermarking for content provenance tracking","Intelligence - Multimodal explainable AI for transparent detection decisions","Identities - Real-time biometric voice verification system","Enhance - AI-powered audio enhancement and noise removal","On-Premises Solutions - Air-gapped deployment for enterprise and government"]

Unique value

Only platform offering dual capabilities in generative voice AI creation and deepfake detection. Developed DETECT-3B Omni, the industry's strongest multimodal detection model with 99.8% accuracy across 38+ languages, battle-tested against 160+ generative AI models. Created Chatterbox, the #1 ranked open-source voice AI model that outperforms ElevenLabs in blind evaluations, with 22.5k+ GitHub stars.

Target customer

Enterprise organizations across media & entertainment, government agencies, financial services, and customer service sectors requiring both AI voice synthesis capabilities and protection against synthetic media threats

Industries served

["Media & Entertainment","Government & Defense","Financial Services","Healthcare","Customer Service & Contact Centers","Cybersecurity","Enterprise Software"]

Technology advantage

Proprietary PerTh (Perceptual and Threshold) Neural Speech Watermarker technology that embeds imperceptible, tamper-resistant watermarks surviving compression, resampling, and editing with nearly 100% detection accuracy. Offers zero-shot voice cloning from just 5 seconds of audio. Provides on-premises deployment enabling air-gapped operation for government and enterprise security requirements. CEO testified before U.S. Senate Judiciary Committee on AI voice risks in July 2024, establishing thought leadership in AI safety.

How they differentiate

Only platform offering dual capabilities in generative voice AI creation AND deepfake detection. Industry-leading DETECT-3B Omni multimodal detection with 99.8% accuracy across 38+ languages. Chatterbox open-source model with 22.5k+ GitHub stars and 5-second voice cloning. On-premises deployment with air-gapped operation for government/enterprise security requirements.

Main competitors

["ElevenLabs","Murf AI","Play.ht"]

Key partnerships

["Netflix - Recreated Andy Warhol's voice for Emmy-nominated 'The Andy Warhol Diaries' documentary series","Universal Pictures - Generative voice AI for entertainment applications","Paramount Pictures - Voice technology for media production","Carahsoft - Strategic government distribution partner for public sector","Google Cloud - Partnership for generative AI model acceleration","Sony Innovation Fund - Strategic investor and technology partner","Okta Ventures - Strategic investor focusing on identity security","The World Bank Group - Enterprise voice solutions","Fortune 500 companies across multiple sectors (undisclosed)"]

Notable customers

["Netflix","Universal Pictures","Paramount Pictures","The World Bank Group","Fortune 500 companies","Government agencies"]

Major milestones

["Raised $13M strategic round in Dec 2025 led by Google AI Futures Fund and Sony Innovation Fund","Series A $8M led by Javelin Venture Partners and Comcast Ventures in Jul 2023","Recreated Andy Warhol's voice for Emmy-nominated Netflix documentary 'The Andy Warhol Diaries'","Launched DETECT-3B Omni, industry's strongest multimodal deepfake detection with 99.8% accuracy","Released Chatterbox, #1 ranked open-source voice AI model with 22.5k+ GitHub stars","CEO testified before U.S. Senate Judiciary Committee on AI voice risks (Jul 2024)","Partnered with Carahsoft for government distribution and Google Cloud for AI acceleration"]

Growth metrics

Raised $13M strategic round in December 2025 to combat rising AI-generated threats as deepfake cyberattacks surge. Total funding reached $25M across multiple rounds since 2019 founding.

Market positioning

Enterprise-focused voice AI platform with strategic emphasis on security and deepfake threat protection. Positioned as the trusted solution for Fortune 500 companies and government agencies requiring both creative voice synthesis capabilities and robust protection against synthetic media threats.

Geographic focus

North America (San Francisco Bay Area headquarters), with global enterprise reach through partnerships and government contracts

Patents and IP

Proprietary PerTh Neural Speech Watermarker technology (open-sourced on GitHub). While specific patent numbers are not publicly disclosed, the company maintains trade secrets around their detection algorithms and watermarking techniques. Chatterbox TTS model released under MIT license.

About Zohaib Ahmed

Co-Founder and CEO of Resemble AI. Previously served as Senior Software Engineer at Magic Leap (2017-2019), focusing on user interface and interactions for Lumin OS. Worked as Software Engineer at Hipmunk (2015-2017), a travel search platform acquired by SAP. Completed multiple software engineering internships at BlackBerry (2012-2014). Computer Engineering graduate from University of Waterloo (2010-2015).

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