Custom software and product engineering for enterprise digital transformation
Taazaa is a product engineering firm building enterprise platforms and AI systems on Adobe Experience Manager, Java, and cloud infrastructure (AWS, Azure). The hiring mix—senior and lead engineers concentrated in core engineering, with emerging data and ML focus—mirrors active projects around AI orchestration, RAG pipelines, and feature engineering, signaling a strategic pivot from traditional custom development toward AI-augmented platform delivery.
Taazaa is a product engineering and software development company founded in 2007, headquartered in Hudson, Ohio, with 201–500 employees. The firm serves mission-driven organizations requiring custom software solutions and digital transformation. Core competencies span web and mobile application development, AEM-based enterprise platforms, cloud services, and emerging technologies including AI and IoT. The tech stack centers on Adobe Experience Manager, Java/Jakarta EE, and polyglot data layers (SQL Server, MySQL, PostgreSQL, MongoDB), with containerized AI workload deployment on AWS and Azure.
Taazaa's stack includes Adobe Experience Manager, Java, Jakarta EE, GraphQL, React, Angular, Docker, AWS, Azure, SQL Server, PostgreSQL, MongoDB, and Elasticsearch. They rely heavily on Adobe Experience Cloud tools (Analytics, Target, Launch) and Jenkins/Maven for CI/CD.
Active projects include AEM-based platform architecture, enterprise digital experience platforms, AI orchestration and agentic systems, scalable database schemas for RAG, ML pipeline development, and digital measurement solutions across Adobe Analytics and web/mobile channels.
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Taazaa Inc'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.