Brand protection platform detecting counterfeits and IP abuse across global marketplaces
MarqVision operates a brand-protection platform focused on detecting counterfeits, impersonation, and digital abuse across 1,500+ online platforms and rogue websites in 118+ countries. The tech stack—PostgreSQL, BigQuery, dbt, React, Next.js, Python, Kotlin—suggests a data-heavy backend with modern frontend tooling, while active adoption of NetSuite signals operational scaling. Hiring velocity is accelerating with a legal-and-sales-heavy mix (11 sales, 7 legal) relative to engineering (4), indicating a services-led or enforcement-heavy go-to-market model where legal execution and account management drive revenue more than product feature velocity.
Notable leadership hires: Content Lead
MarqVision helps brands, creators, and innovators protect intellectual property and detect counterfeits at scale. The platform covers the full IP lifecycle—from monitoring and detection through legal enforcement—and supports trademark management, design patents, copyright claims, and digital content protection. They operate across 118+ countries, serving mid-market and enterprise brands. The company combines generative AI with legal expertise to handle IP infringement detection and enforcement. Current project focus spans APAC expansion, test-purchase operations, case management, and scaling counterfeit prevention into new verticals and geographies.
Backend: PostgreSQL, BigQuery, dbt, MySQL, Python, Apache Airflow. Frontend: React, Next.js, TypeScript, Material-UI, Ant Design. Infrastructure: AWS, Bitbucket Pipelines. Other: Salesforce, Jira, Figma, Swagger.
Headquartered in Los Angeles, CA. Actively hiring in the United States, United Kingdom, China, South Korea, and Japan.
MarqVision (YC S21)'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.