CrowdAr

Crowdar is a software services company that provides testing and cloud operations services. The company name appears as Crowdar. Activities described in source material indicate headquarters or an operational presence in Argentina and work across Latin America, inferred from references to Buenos Aires and regional events. Engagements and case descriptions show work with organisations in sectors such as banking, payments and retail, suggesting regional operation beyond a single country.

Services and capabilities

• Software testing and test automation: development and delivery of automated test suites, automation frameworks (including use of Cucumber) and test execution for functional, integration and regression scenarios.
• Performance, accessibility and usability testing: design and execution of backend performance tests and accessibility/usability assessments.
• CloudOps and infrastructure: migration to container platforms, Kubernetes deployments, CI/CD pipeline implementation, microservices support and operational support and maintenance for cloud environments.
• QA and CloudOps coaching and training: on-site or remote coaching, workshops and mentoring to build QA teams, QA leads and cloud operations capabilities.
• AI-enabled testing and GenAI solutions: application of generative AI to testing processes, AI-assisted test generation, and infrastructure configurations for projects that use GenAI components.
• Tools and platform development: development and provision of internal tools such as Lippia Framework and Lippia Test Manager to support test automation and test management.

Industry focus

• Financial services and banking: implemented automation frameworks for bank applications, functional testing across banking applications and integration of automated testing into banking platforms.
• Payments and retail: integration and testing with payment platforms (Rapipago) and testing work related to retail features in data science platforms (Shopping).
• Enterprise applications and CRM: testing and agile testing support for Microsoft Dynamics CRM implementations, including rapid change adoption and testing networks.
• Software product and platform teams: work on backend processes, CI/CD and microservices migrations supporting development and operations teams.

Technology and delivery approach

• Emphasis on automation frameworks and test management platforms to standardise test creation, execution and reporting; examples include Lippia Framework and Lippia Test Manager.
• Use of CI/CD pipelines and container orchestration (Kubernetes) to support microservices deployments and automated delivery workflows.
• Integration-focused work to connect automated testing platforms with external payment and platform services.
• Combination of hands-on delivery and knowledge transfer: coaching, QA leads placement, workshops and team development to embed practices in client organisations.
• Application of AI and generative models to testing workflows and infrastructure design for projects that incorporate GenAI components, along with consultancy on implementing AI in QA and CloudOps contexts.