10Pearls

10Pearls is an information technology and software services company headquartered in the United States, operating across North America, South America, Europe, and Asia. The firm provides digital engineering, product development, and managed IT services for enterprise clients, including work for large corporate customers and government-facing organizations.

Services and Capabilities

• Custom software development and QA: delivery of web and mobile applications, API development, automated testing, and quality assurance processes.
• Artificial intelligence and data engineering: design and deployment of AI models, data pipelines, analytics platforms, model integration, and AI agent orchestration frameworks.
• Cloud architecture and migration: cloud infrastructure design and implementation on providers such as AWS and Google Cloud, cloud modernization, and cloud-native application development.
• Enterprise platform implementation and integration: configuration and integration of platforms including Salesforce, Oracle Fusion ERP, NetSuite, and APEX, plus third-party integrations.
• DevOps and security operations: CI/CD pipelines, automation of delivery processes, infrastructure as code, and security implementations to meet regulatory requirements.
• Managed IT and modern workplace solutions: ongoing enterprise-managed services, collaboration solutions on Microsoft platforms, and workplace automation.

Industry Focus

• Healthcare: work to unify clinical and population health data and provide clinical snapshots to support care coordination and analytics.
• Financial services and utilities: security-focused implementations and projects addressing regulatory and operational requirements are referenced.
• Enterprise and government sectors: digital transformation, large-scale platform implementations, and managed services for complex enterprise environments.

Technology and Delivery Approach

• Integration and platforms: work frequently involves integrating enterprise applications, data platforms, and third-party AI services (including OpenAI, Google AI integrations, and model providers) into operational systems.
• Data and analytics: projects deliver data engineering, analytics platforms, and model deployment to support decision-making and operational automation.
• Automation and DevOps: emphasis on CI/CD, infrastructure automation, and delivery pipelines to accelerate releases and maintain operational resilience.
• Product and agile delivery: engagement model centers on product-oriented teams using agile practices to move from discovery to proof of concept and into production.