Kayzen operates a mobile demand-side platform handling 230 billion daily ad requests across 1.9 billion unique users in 180 countries. The tech stack reveals a shift toward AI-native operations: OpenAI, Anthropic, Claude, and RAG are all active, paired with SQL and Python for backend work. Active projects around LLM-powered workflows and AI framework development, combined with hiring velocity in data roles, indicate the platform is moving beyond traditional auction logic toward machine-learning-driven bidding and budget allocation—a significant operational pivot for a programmatic player.
Kayzen is a mobile demand-side platform enabling apps, agencies, media buyers, and brands to run programmatic advertising campaigns at scale. The platform supports programmatic customer acquisition, retargeting, and brand performance use cases through self-serve and managed service channels. With 230+ billion daily ad requests and 1 billion ads delivered per day globally, Kayzen operates at massive throughput; internal pain points around handling 2 million requests per second latency and managing petabytes of data reflect the infrastructure challenges of that scale. The company serves users across 180 countries and remains focused on campaign performance optimization and revenue retention.
Kayzen processes 230B+ daily ad requests from 1.9B+ unique users, serves up to 1B+ ads per day, and operates in 180 countries. The platform handles 2M requests per second at peak.
Kayzen's stack includes OpenAI, Anthropic, Claude, GPT, and RAG. Active projects center on LLM-powered workflows and AI framework development, signaling integration of generative AI into campaign optimization.
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