Deepfake detection and likeness protection for public figures and IP
Loti is a Seattle-based identity protection company that detects deepfakes and impersonation and removes infringing content across the public internet. Its stack pairs a conventional AWS/Kubernetes/Python core with Web3 tooling — Solidity, IPFS, The Graph and Semaphore — pointing to on-chain rights enforcement and zero-knowledge identity work. Sales and marketing roles focused on building pipeline from scratch suggest an early push into new go-to-market motions.
Loti builds AI-driven tools that protect celebrities, public figures and corporate intellectual property from online impersonation and deepfakes. The service covers likeness monitoring, locating and taking down unauthorized content, and enforcing contracts across social platforms and other public sites. The company has signaled plans to extend protection to creators and consumers. Loti is privately held, headquartered in Seattle, WA, employs 51–200 people, and hires in the United States and India.
Loti runs on AWS, GCP and Azure with Docker and Kubernetes, builds in Python and Node.js, uses PostgreSQL, MySQL, MongoDB and DynamoDB, and adds Web3 tools like Solidity, IPFS, The Graph and Semaphore.
Job posts point to a biometric likeness verification system, a zero-knowledge login prototype, enforceable IP agreements written in Solidity, a legal ontology for on-chain rights, and a new sales playbook.
Loti is headquartered in Seattle, Washington, and hires in the United States and India across engineering, sales, marketing, legal, product and research.
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Loti's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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