KERV.ai analyzes video frames with AI to match content and objects to interactive, shoppable ad units sold through programmatic channels like The Trade Desk, DV360 and Magnite. Its stack is heavily serverless on AWS (Lambda, Fargate, Kinesis Firehose, EventBridge) with Go and Python, and job posts point to a push into self-serve programmatic plus a migration from a legacy monolith to a tag server.
KERV.ai is a privately held ad tech company founded in 2017 and headquartered in Austin, Texas, with 51–200 employees. It applies AI to video content to identify objects and context, then connects them to interactive and shoppable advertising formats. Its customers include brands, agencies and publishers seeking both ad performance and content monetization. The company runs its platform on AWS and distributes through major demand- and supply-side programmatic platforms. Current hiring is focused in the United States across engineering, data, support and design.
KERV.ai builds on AWS (Lambda, ECS, Fargate, DynamoDB, Kinesis Data Firehose, Redshift) with Go, Python, Node.js, Java and Scala, monitored via Datadog and CloudWatch, and uses VPAID for video ad delivery.
Yes. Hiring is accelerating in the United States, spanning engineering, data, support and design, with director-level as well as senior, mid and junior roles.
Current initiatives include a self-serve programmatic offering, a dynamic video generation pipeline, a video template studio, interactive overlays, and scalable ETL pipelines for advertising data on Redshift and S3.
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KERV.ai'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.
