CI&T

CI&T is a technology services company that provides software development and digital transformation services. The organisation reports a workforce of over 8,000 employees operating in more than 25 countries and maintains delivery capabilities across Asia-Pacific, EMEA, North America and South America. CI&T is identified in industry research reports for custom software and modern application development services.

Services and capabilities

• Application modernization: refactoring, replatforming and replacement of legacy applications to modern architectures and cloud environments.
• Cloud services: design, migration and ongoing cloud platform management in partnership with major cloud providers.
• Data and AI: development of data platforms, predictive analytics, machine learning models and AI-driven tooling that move proofs of concept toward production.
• Digital product design and development: end-to-end product delivery including UX design, engineering, testing and release pipelines for customer-facing and internal applications.
• Customer experience and DXP: implementation of digital experience platforms and integration of CRM and CMS systems to provide unified brand and commerce experiences.
• Managed services and nearshore delivery: ongoing application and platform operations delivered through nearshore LATAM teams and managed service arrangements.
• Strategy and consulting: technical and product strategy, roadmapping and transformation planning to support program execution.

Industry focus

• Automotive and mobility: work addressing supply chain dynamics, standards participation and projects to optimise logistics and warehouse management.
• Retail and consumer goods: initiatives involving customer experience, commerce protocols and AI-driven predictive analytics for retail and CPG decision-making.
• Financial services: projects exploring AI in customer experience for banking contexts.
• Healthcare and medical billing: engagements aimed at accelerating billing reconciliation processes through automation and analytics.

Technology and delivery approach

• Delivery combines nearshore engineering teams with cloud and platform partnerships to integrate systems, data pipelines and analytics solutions.
• Emphasis on moving AI projects from vision and prototypes into production, including model deployment, monitoring and integration with business processes.
• Use of data platforms and analytics for predictive and prescriptive outcomes, and automation to accelerate manual processes such as billing reconciliation and warehouse operations.
• Engagement model spans strategy, product design, engineering, and managed operations to sustain delivered systems.