ZEALS builds automated, AI-powered chat experiences that let brands sell and capture leads inside social media conversations. Its job posts point well beyond chat: projects include the Omakase.ai AI agent platform, an embodied-learning-from-action pipeline and live robot telemetry streaming, suggesting an expansion into robotics AI. The stack backs this up, with Go, Python, Kubernetes, Argo CD and Terraform running across both AWS and GCP.
ZEALS is a privately held company founded in 2014 and headquartered in San Francisco, California, with 201–500 employees. It provides social chat commerce tools that brands use to turn posts, stories and ads into automated conversations. Through these conversations, consumers can get product recommendations, sign up for offers and take part in limited releases without leaving their social apps. Current hiring is small, focused on mid-level engineering roles, and is based in Japan.
ZEALS uses Go, Python, TypeScript and Java on AWS and GCP. Its infrastructure runs on Kubernetes, Helm, Argo CD and Terraform, with data in MongoDB, Elasticsearch and BigQuery, and analytics in dbt, Looker and Tableau.
Job posts mention the Omakase.ai AI agent platform, an embodied-learning-from-action (ELA) pipeline, real-time streaming for live robot telemetry, robot fleet monitoring dashboards and deeper integrations between its products.
ZEALS is headquartered in San Francisco, California. Its current open roles are mid-level engineering positions based in Japan.
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ZEALS'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.
