Zazmic Inc.

Zazmic is a technology services company that provides software development, cloud engineering, data and analytics, and cybersecurity services. Headquarters country: United States. Regions of operation are implied to include North America and international markets through client engagements with organisations such as Rakuten and other global and US-based customers.

Services and Capabilities

• Cloud engineering and migration — planning and executing cloud migrations, platform configuration, cost optimization, and ongoing cloud operations on providers including Google Cloud, AWS, and Azure.
• Software development — design and delivery of custom web and mobile applications, backend services, and integrations using agile development practices.
• Data engineering and analytics — building data pipelines, data warehouses or lakes, and analytics solutions; work includes migration of legacy pipelines to platforms such as Google Cloud BigQuery, Dataflow, and Dataproc.
• AI and generative AI — development and deployment of machine learning models and generative AI components to automate tasks and support data-driven decision-making.
• Cybersecurity — implementation of security controls and monitoring, threat detection, and risk reduction for applications and cloud infrastructure.
• Technical and product support services — on-demand CTO/CMO support, product development assistance, and operational support for platform launches and user acquisition efforts.

Industry Focus

• Healthcare — development of healthcare applications and tools intended to improve patient outcomes and user experience.
• Fintech and finance — systems for insurance, trading, financial management, and CRM migrations or upgrades.
• Adtech — development for targeting, supply- and demand-side platforms, real-time bidding systems, and data management platforms.
• Edtech — learning management systems and online course platforms.
• E-commerce and retail — scalable, secure applications, custom integrations, and user experience work for online retail platforms.
• Manufacturing — solutions for smart manufacturing, automation, and predictive maintenance.

Technology and Delivery Approach

• Platform and integration focus — delivery frequently involves cloud platforms (Google Cloud, AWS, Azure) and integrating applications with third-party services.
• Data platform and pipeline engineering — recurring work on ETL/ELT pipelines, data migration to cloud data warehouses, and analytics implementation.
• Automation and AI — application of machine learning and AI tools to automate processes and support analytics and product features.
• Security and compliance — incorporation of cybersecurity practices into cloud and application deployments, including monitoring and threat detection.
• Agile and staff augmentation delivery — execution through engineering teams that augment client staff, provide ongoing technical support, and participate in product lifecycle activities.