unosquare, LLC

Unosquare is a private company providing software development and IT services. The company operates as a digital engineering and nearshore development provider. Headquarters country: United States. Regions of operation: nearshore engagements across the Americas and clients in regulated, data-intensive markets.

Services and Capabilities

• Custom software development — delivery of web and backend applications using modern technology stacks.
• Data engineering and analytics — design and implementation of data platforms, pipelines, and analytics solutions for processing and analyzing large or regulated datasets.
• Cloud architecture and migration — deployment and management of cloud-native systems and infrastructure for scalable operation.
• AI and machine learning solutions — integration of AI components and models into production systems for automated inference and data-driven features.
• Quality engineering and automation — test automation, continuous integration/continuous delivery (CI/CD) pipelines, and reliability-focused engineering practices.
• Staff augmentation and managed teams — provision of nearshore development teams to augment client capacity and deliver long-term engineering engagement.

Industry Focus

• Regulated financial services — implementation of secure, auditable systems, data pipelines, and compliance-aware workflows.
• Healthcare and life sciences — delivery of data-intensive applications and analytics with attention to reliability and regulatory constraints.
• Enterprise technology — development and integration of business-critical software, cloud platforms, and operational tooling.

Technology and Delivery Approach

• Emphasis on integration of cloud, data platforms, and AI components into client systems to support production workloads.
• Frequent use of automation and CI/CD to support repeatable delivery and reliability for regulated environments.
• Delivery model combines nearshore staffed teams with full lifecycle engineering practices, including design, implementation, testing, and operational support.
• Focus on operational rigor and practices that support reliability and compliance when deploying data-intensive systems.