Cubet

Cubet works at the intersection of AI innovation, digital product engineering, and consulting, building solutions that blend AI and machine learning for companies across healthcare, BFSI, edtech, and retail. Healthtech projects target better care delivery and operational efficiency, while financial platform work focuses on security, scalability, and customer trust. Retail engagements center on intelligent tools meant to lift sales, efficiency, and loyalty, and edtech work targets engagement and retention for digital learning products.

Service lines span application development, systems integration, data engineering and pipelining, DevSecOps enablement, performance engineering, product discovery and MVP work, and ongoing maintenance and support, backed by manual functional testing. On the AI side, Cubet handles workflow automation, machine learning solutions, intelligent process automation, generative AI strategy and consulting, custom generative AI applications, and enterprise AI integrations. Data-focused work includes visualization and reporting, predictive and advanced analytics, and business intelligence dashboards, giving clients a route from raw data pipelines through to decision-ready reporting.

Cubet traces its start to 2017, when it launched as a small digital studio, and describes over 18 years of helping different industries through digital solutions. The range of deliverables reflects that arc: custom generative AI applications built for specific business problems, enterprise AI integrations that connect automation into existing systems, and BI dashboards that turn pipelined data into visual reporting. Combined with product discovery, MVP builds, and maintenance and support, the offering covers a project from initial concept through to sustained operation, aimed at companies working across BFSI, healthcare, edtech, and retail.