Addressable TV and CTV advertising technology for distributors and programmers
INVIDI builds addressable advertising software for television and premium video, running a Java/Kotlin and Spring Boot backend on GCP with Kafka, Pub/Sub and Bigtable, plus Swift, webOS and Tizen clients for TV and device playback. Hiring is minimal but pointed: a Head of Sales search alongside job-post themes of a new advertising sales house signals a push from pure ad tech into media sales, while engineering works on revamping legacy systems.
Notable leadership hires: Head of Sales
INVIDI Technologies Corporation is a privately held company headquartered in Princeton, New Jersey, founded in 2003 and employing 201–500 people. It provides addressable advertising technology that uses household data matching to target TV viewers while protecting privacy. Its products serve programmers, distributors, broadcasters and premium publishers, covering cross-platform ad delivery and sell-side ad serving with programmatic capabilities. Current engineering hiring is based in India.
INVIDI uses Java, Kotlin, Python, Spring Boot, Dropwizard, React and Vue, running on GCP with Kubernetes, Bigtable, Kafka and Pub/Sub, plus AWS, Azure, Terraform, Datadog and Grafana. TV clients use Swift, webOS and Tizen.
Yes. INVIDI is recruiting a Head of Sales, tied to job-post themes about building a new sales organization and expanding into media sales. Other open roles are senior engineering positions in India.
Job posts point to a unified video ad tech platform, a new advertising sales house, addressable TV and CTV monetization, and a computer vision and visual search platform.
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INVIDI Technologies Corporation'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.