Success Stories
We turn business opportunities into real impact, with technology that actually works. See how.
Redesigning Voice Customer Support with AI
NOS aimed to evolve its traditional Interactive Voice Response (IVR) based customer support into a more natural and efficient conversational experience. We developed a conversational AI Voice Assistant focused initially on billing and payments, integrating intent detection, contextual resolution, and controlled experience transitions. The solution combines conversational AI flows with existing static IVR guides, enabling higher automation while preserving user control and service quality.
AI Assistant for your Workforce
Sonae Sierra needed to simplify daily work by providing all employees with a conversational workspace without being locked into expensive, per-user licences from consumer platforms. We deployed one of our Gen-OS products, GenAssistant, an AI chat platform that unifies multiple LLMs in a single interface, avoids vendor lock-in, and enables best-model-per-use-case selection.
AI on the Factory Floor
A global leader in automotive cables wanted to optimize its insulation cable process, which relied on manual checks. We built and deployed an ML model on factory floor machines, reducing waste, saving €300 per day per machine, and freeing operators for other tasks.
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Automating Large-Scale ETL Migration with AI
Our client needed to migrate approximately 300 data pipeline jobs from Talend, a proprietary ETL platform, to a modern Python and Spark-based stack. Manual migration would have required months of repetitive, error-prone work. We built NextGen, an AI-assisted migration tool that performs SQL-centric extraction and Java code simplification.
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LUPA: A Data & MLOps Platform
Our enterprise client was facing challenges within their advanced analytics department, with data teams operating in silos, scattered technologies, and no unified framework. We built LUPA, an MLOps platform, to unify workflows and accelerate time‑to‑market, while driving millions in monthly revenue.
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