AI-driven brand protection and IP enforcement against online counterfeits
MarqVision runs an AI brand-protection platform on a Kotlin/Ktor and Python backend with OpenSearch, Elasticsearch and gRPC, plus an Airflow, dbt and BigQuery data layer suited to large-scale marketplace monitoring. Hiring leans legal and sales, mostly senior, across Japan, China, South Korea, the US and the UK, pointing to enforcement capacity and Asia-focused go-to-market alongside a mature Outreach, Gong and ZoomInfo sales stack.
Notable leadership hires: Content Lead
MarqVision is a privately held company headquartered in San Francisco, CA, with 51–200 employees. It helps brands find and take down counterfeit listings, impersonation and other digital abuse across online marketplaces and rogue websites worldwide. The platform pairs generative AI detection with legal enforcement and also covers trademark management, IP registration and digital content protection. Customers include global brands, creators and rights holders seeking to recover revenue and defend intellectual property. The company operates internationally, with hiring activity in the United States, United Kingdom, Japan, China and South Korea.
MarqVision uses Kotlin, Ktor, Python, gRPC, PostgreSQL, MongoDB, Redis, OpenSearch and Elasticsearch on AWS, with Apache Airflow, dbt and BigQuery for data, and Gemini and Grok among its AI tools.
MarqVision is hiring in the United States, United Kingdom, Japan, China and South Korea, with legal and sales among its most active departments and a strong tilt toward senior roles.
Current initiatives include an AI-based brand protection solution, a digital risk protection platform, an enforcement automation system, AI-generated threat detection, a case management database and a new operations team in Japan.
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MarqVision'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.