ZEALS builds conversational AI tools that turn social media interactions into transactions, using a Java/TypeScript backend on AWS/GCP with MongoDB and Elasticsearch. The tech stack reflects a mature e-commerce and analytics focus: Salesforce, dbt, BigQuery, and Tableau/Redash for customer data and reporting. Active projects center on AI agent conversation design and internal workflow automation, while pain points cluster around manual operations and capturing personalized customer intent — suggesting the product is shifting from platform infrastructure toward smarter, less labor-intensive engagement flows.
ZEALS is a San Francisco-based AI and conversation design platform that helps brands run automated chat experiences on social media channels like Instagram and Facebook. The product integrates with social apps, eCommerce systems, and CRM platforms (Salesforce) to deliver personalized product recommendations, lead capture, and sales automation directly in customers' preferred messaging environments. The company operates with 201–500 employees and is focused on reducing manual touchpoints in social commerce workflows through AI-driven conversation and sales tools.
Java, TypeScript, Salesforce, AWS, GCP, MongoDB, Elasticsearch, Kubernetes, BigQuery, Tableau, dbt, and gRPC. The stack emphasizes e-commerce integration, real-time data processing, and analytics infrastructure.
AI agent conversation design, internal chatbot systems, billing automation workflows, outbound sales motion, and multi-channel marketing strategy. Data visualization and churn prevention also appear in the active project list.
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.