Problem

Enterprise decision-making is increasingly exposed to synthetic audio, images, and video that can be mistaken for authentic media. Resemble frames this as a real-time verification, detection, and response problem: deepfake-related fraud reportedly caused $1.56 billion in losses in 2025, while organizations also face compliance and reputational risks. The primary use case is screening media before an enterprise relies on it or acts on it, particularly when authenticity and speed matter.

Product / Service

Resemble AI currently positions itself as an enterprise generative-AI security platform. Its Resemble Detect product is a neural model designed to expose deepfake audio in real time and to work across audio, image, and video; the platform supports cloud or on-premises deployment and is intended to help organizations verify media and satisfy AI-content compliance requirements. Resemble also retains a synthetic-voice offering: its tools turn text into production-ready speech, provide multiple synthesis modes for different latency and integration needs, and expose voice-generation capabilities through an API for applications and websites.

Market

The company competes primarily in enterprise AI security, synthetic-media authenticity, and deepfake detection, with an adjacent position in AI voice generation and cloning. In the voice market, comparison sources place Resemble alongside PlayHT, Fish Audio, Murf, ElevenLabs, and Descript; the available evidence does not identify a definitive set of direct deepfake-detection competitors. Resemble has raised $13 million in strategic funding, bringing total venture funding to $25 million as of December 2025. A third-party 2024 estimate reported approximately $1.7 million in ARR, three customers, and 27 employees, suggesting it was not pre-revenue at that point, although the corpus does not establish current 2026 revenue or customer numbers.