10decoders

10decoders is a software engineering firm that provides product engineering, quality assurance, data and artificial intelligence services. The company presents itself as serving HealthTech and FinTech markets and operates with clients in multiple regions, including references to global clients. The presence of a United States telephone country code in source material indicates operations or a contact presence in the United States.

Services and Capabilities

• Enterprise modernization: refactoring or rearchitecting legacy monolithic applications into cloud-ready, modular architectures and reducing maintenance overhead.
• Digital product engineering: end-to-end development of web and mobile products including design, implementation, testing, and deployment.
• Data engineering and analytics: building data pipelines, centralizing disparate data sources, data visualization, and operational reporting systems.
• Generative AI and automation: implementing generative AI models and agentic workflows to automate triage, onboarding, or other operational processes.
• Cloud and infrastructure: cloud migration, infrastructure design for resilience and scalability, and automation of cloud operations.
• IT strategy and consulting: creating technical roadmaps, execution plans, and application of delivery frameworks and accelerators.

Industry Focus

• HealthCare / HealthTech: work includes centralizing clinic data, building health data intelligence and visualization, improving patient outcome metrics, and automating triage and patient onboarding workflows.
• Financial technology (FinTech): stated focus area; services likely include secure cloud billing systems and integration with enterprise financial platforms.
• Enterprise IT: modernization of legacy enterprise systems, cloud adoption, and scalability improvement for large organizations.

Technology and Delivery Approach

• Delivery uses structured engineering frameworks and in-house accelerators to standardize implementations and support repeatable outcomes.
• Technical themes include cloud-native architectures, data platforms and pipelines, analytics and visualization, systems integration, automation, and the application of generative AI models for workflow automation.
• Execution emphasizes modular modernization, integration of disparate systems, automated deployment and testing, and delivery-led roadmaps aligned to business objectives.