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Loti AI

Facial recognition for non-consensual media protection

Web3 Infrastructure DevOps Engineer

Site Reliability EngineeringUpdated on Nov 11
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • Proficiency in IPFS, Arweave, and The Graph.
  • Experience with continuous integration and continuous delivery pipelines, Docker, and Kubernetes.
  • Familiarity with relayer architecture and API performance tuning.

Responsibilities

  • Spin up IPFS pinning clusters and support Arweave redundancy.
  • Manage cross-chain bridges for multi-network NFT enforcement.
  • Deploy and monitor blockchain nodes.
  • Implement and manage Graph Protocol subgraphs.

About the Company

Loti AI

Facial recognition for non-consensual media protection

Loti AI provides facial recognition-driven privacy protection to help individuals check whether their intimate images or videos have been shared online without consent. Users upload a photo of themselves, and the service searches the internet to identify any matches of their private media, sending alerts if it finds published content and offering help to remove it. The product is offered as an affordable, subscription-based service that prioritizes ease of use and rapid response to privacy breaches. Compared with broader cybersecurity or image search tools, Loti AI focuses specifically on non-consensual intimate media and the accompanying takedown support, rather than a general surveillance or advertising-driven model. The company aims to give individuals a simple, reliable way to protect their online image and reclaim control over their private media.

Company size
51-200
Company stage
Series A
Total funding
$22.9M
Headquarters
Seattle, WA
Founded
2022

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