Resemble AI

Resemble AI started as a voice synthesis company and rebuilt its enterprise story around detection, and that history shows up in the product in useful ways. The detector is not one model with three output labels — audio, image, and video each have their own lineage, and the current generation is DETECT-World, which Resemble positions as the first world-model architecture for detection: instead of fingerprinting known generators, it checks whether the content obeys physical reality. That matters because the generator landscape moves faster than any signature database. Image and video coverage arrived in DETECT-3B-Omni, with V-JEPA 2 as the video backbone, and the audio side moved to a new model in June 2026 with a 4% equal error rate plus better precision, recall, and VoIP robustness — the VoIP detail is the one practitioners care about, because contact-center fraud arrives over compressed telephony audio. The second half of the platform is provenance. PerTH watermarking now runs on the V2 engine, supports implicit invisible marks and explicit custom messages, and ships with a dedicated report view summarizing embedding and detection. Resemble is an approved C2PA issuer, signs outputs, and detects SynthID; Detect itself added a C2PA content-credential fallback in June 2026, so a file with intact provenance metadata can still be verified even when the detector is uncertain. For media and public sector teams that have to answer "where did this come from?" in writing, that combination is the reason to pick Resemble over a pure classifier. Where it fits: fraud and contact-center teams that want alerts before a call ends, meeting platforms where synthetic voices and faces join live, KYC and onboarding flows, and law enforcement work that needs reproducible reports — printed deepfake reports now include a video thumbnail and the analysis heatmap. Meetings integration is now native inside Microsoft Teams with no bot joining the call and silent org-wide rollout by admins. Where it does not fit: if you only need audio detection, you are paying for image and video models you will never call. If you screen high volumes of long video, the $0.03 to $0.07 per second rates compound quickly, and the video benchmark is explicitly internal with external validation still in progress — read that honestly before you build a procurement case on it. And the pricing model is subscription plus usage: Flex is $0/mo with credits that never expire, Team is $350/mo ($280/mo billed annually), and Business is $1,000/mo ($800/mo billed annually), with SSO locked to Business. Budget for the processing line, not just the seat line.