Problem

Loti AI addresses the growing problem of unauthorized use of people’s faces, voices, names, brands, and intellectual property online. Generative AI has made deepfakes, voice simulations, fake endorsements, impersonator accounts, leaks, and other misleading or harmful content easier to produce and distribute, creating risks around fraud, trust, reputation, privacy, contracts, and monetizable likeness rights. The economic pain is not limited to one bad post: it is the continuing cost of discovering violations, protecting brand value, responding to reputational damage, and coordinating legal or platform-enforcement work at internet scale.

The clearest killer use case is protecting celebrities, athletes, musicians, influencers, executives, and other public figures whose likenesses are repeatedly reused without authorization. Talent agencies and representatives need to know where a client appears online and rapidly remove deepfakes, non-consensual media, fake endorsements, impersonator accounts, unauthorized merchandise, and other content before it gains reach or causes business damage. Loti has expanded this protection to ordinary users as well, reflecting that the threat is no longer limited to celebrities.

Product / Service

Loti is an AI-powered likeness and IP-protection platform combining continuous internet monitoring, detection, and automated enforcement. Its Watchtower product uses multimodal AI and more than 40 proprietary models to identify faces, text, logos, deepfakes, impersonators, and unauthorized or non-consensual uses across the open web. A centralized dashboard tracks detections and risks, while platform-specific workflows generate evidence packages, submit takedown requests, and track them through resolution. Loti says it has removed 95% of unauthorized content within 17 hours.

The company serves multiple segments through a free and premium consumer offering, paid plans for public figures and influencers, and developer infrastructure for generative-AI platforms and brands. Its developer API lets rights holders define permitted and prohibited uses, returns clearance status and licensing terms, and triggers automatic takedowns for unlicensed use. The benefit is to turn a labor-intensive monitoring and rights-enforcement problem into an always-on service, while also creating infrastructure for licensing real-world identities safely in AI-generated media.

Market

Loti competes in the emerging market for digital likeness protection, deepfake detection, online impersonation monitoring, IP enforcement, and generative-AI rights infrastructure. The closest named alternatives in the available market research are Ceartas, MarqVision, and Official AI, which CB Insights lists as Loti alternatives. Adjacent competitors include Reality Defender, focused on enterprise deepfake detection, and BrandShield, focused on monitoring fake accounts, spoofed domains, and impersonation campaigns; these overlap with Loti but do not necessarily offer the same combination of likeness recognition, rights management, and takedown execution.

Loti has substantial evidence of commercial and technical traction rather than looking like a pre-product company. It announced a $16.2 million Series A led by Khosla Ventures in April 2025, manages 9 billion facial vectors, and scans approximately 120–140 million images and videos daily. It has reported or documented relationships involving TikTok, Meta, Pinterest, Underscore Talent, and high-profile talent, with the Underscore partnership covering a creator roster reaching more than three billion fans. Loti also launched public access to its protection service in 2025, with free and paid plans. A third-party source estimates $5.1 million of 2025 revenue, but that figure is not company-reported or audited in the available evidence, so the strongest defensible conclusion is that Loti has funded, deployed, paid offerings and notable partnerships, while its precise revenue remains uncertain.