Loti Tech Stack

Deepfake detection and digital identity protection for public figures

Technology, Information and Internet Seattle, WA 51–200 employees Privately Held

Loti protects celebrities, public figures, and corporate IP from deepfakes, impersonation, and unauthorized content across the open internet. The tech stack reveals a blockchain-first architecture (Solidity, IPFS, The Graph, on-chain rights enforcement) paired with conventional cloud infrastructure (AWS, GCP, Azure, Postgres, MongoDB), suggesting they're building a hybrid model where identity verification and content provenance live on-chain while transaction scaling happens off-chain. Active projects center on zero-knowledge login, scalable transaction APIs, and legal ontology for on-chain rights—indicating a move from detection-only toward decentralized identity infrastructure.

Tech Stack 25 technologies

Core StackJira Confluence AWS Docker Kubernetes Python Node.js PostgreSQL MySQL MongoDB DynamoDB Canva Figma Solidity Semaphore IPFS The Graph GCP Azure Google Sheets Notion LinkedIn X Instagram SQL

What Loti Is Building

◆Challenges

Ai-generated impersonation rise
Protect digital identity at scale
High-volume transaction processing
Data consistency
Fault tolerance
Complex likeness and ip frameworks
On-chain rights enforcement
Privacy-focused identity verification
Secure identity in decentralized systems
Scaling backend systems

▲Active Projects

Account creation and configuration
Qa checks for accounts and workflows
Legal ontology for on-chain rights compliance
Zero-knowledge login prototype
Scalable api platform for high-volume data processing
Core api design and transaction system implementation
Performance optimization of platform components
Scalable api-driven platform components
Core apis and transaction processing systems
Transaction processing pipelines

Hiring Activity

Minimal15 roles · 2 in 30d

Department

Engineering

Product

Marketing

Ops

Legal

Research

Seniority

Mid

Senior

Junior

Staff

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About Loti

Loti AI, founded in 2022, operates a platform for likeness protection, deepfake detection, impersonation prevention, and content location and removal across social media, streaming, and adult sites. The company serves high-profile individuals and corporate rights holders who face growing exposure to AI-generated synthetic media. They're headquartered in Seattle with 51–200 employees split across engineering (majority), product, marketing, operations, legal, and research. Hiring activity is minimal but steady, concentrated in US and India engineering roles at mid-to-senior levels. The business model combines immediate reactive services (content removal, impersonation takedowns) with long-term platform infrastructure (zero-knowledge identity, on-chain rights enforcement) aimed at eventual creator and consumer protection products.

HeadquartersSeattle, WA

Company Size51–200 employees

Hiring MarketsUnited States, India

Frequently Asked Questions

What tech stack does Loti use?

Loti runs Solidity and blockchain infrastructure (IPFS, The Graph) for on-chain rights, paired with AWS/GCP/Azure cloud, Kubernetes orchestration, Python/Node.js backends, and Postgres/MongoDB/DynamoDB for data. They also integrate with social platforms (LinkedIn, X, Instagram) and use Jira, Confluence, Figma for internal ops.

What is Loti working on?

Core projects include zero-knowledge login prototypes, scalable API platforms for high-volume transaction processing, legal ontology for on-chain rights compliance, and transaction processing pipelines. They're also building account management, QA workflows, and performance optimization across platform components.