Clinch operates Flight Control, a SaaS platform for campaign workflow automation, dynamic creative optimization, and cross-channel ad serving. The tech stack—DSP, Kafka, Spark, Cassandra, and real-time optimization tooling—reflects a company built for high-volume, low-latency ad decisioning. Current hiring and project focus (certification roadmap, integration lifecycle, campaign setup) signal an emphasis on ecosystem partnership and platform stability over feature expansion.
Clinch builds Flight Control, an AI-driven advertising technology platform serving brands and marketing agencies. The product spans creative production automation (dynamic generation across all ad formats), omnichannel personalization and dynamic creative optimization (DCO), real-time ad serving with performance feedback loops, and consumer intelligence layers that enrich first-party data. The company targets mid-market advertisers and agencies looking to reduce campaign production time and errors while improving relevance across digital, video, social, and display channels. Founded in 2013 and headquartered in New York, Clinch operates with 51–200 employees and maintains engineering and data infrastructure across the United States, Israel, and the Philippines.
Clinch runs on Python, Java, C#, AWS (Lambda, RDS, Athena), Kafka, Spark, Cassandra, HBase, ClickHouse, Elasticsearch, and Aerospike. Adobe Creative Suite tools (After Effects, Photoshop, Illustrator, Media Encoder) support dynamic creative workflows. DSP, Pinterest, and Facebook Ads Manager integrations handle ad serving and targeting.
Clinch is headquartered in New York, NY. The company employs 51–200 people and hires across the United States, Israel, and the Philippines.
Recent project work centers on certification roadmap development, integration lifecycle management, campaign setup and management for existing clients, creative optimization, and ad rotation logic. Pain points indicate a focus on ecosystem partner compliance, platform adoption, and campaign execution reliability.
Clinch'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.